Mitarbeiter

M. Sc. Kilin Shi

Kontakt

  • E-Mail:
  • Telefon: 09131/85-27656
  • Fax: 09131/85-28730
  • Raum: 04.233
  • Cauerstraße 9
    91058 Erlangen

Über Kilin Shi

Lebenslauf

Kilin Shi schloss sein Bachelorstudium im Fach Medizintechnik an der Universität Erlangen-Nürnberg im April 2015 ab. Das anschließende Masterstudium Elektrotechnik-Elektronik-Informationstechnik an der Universität Erlangen-Nürnberg beendete er erfolgreich im Juli 2017. Seit August 2017 arbeitet er als wissenschaftlicher Mitarbeiter am Lehrstuhl für Technische Elektrotechnik im Team Circuits, Systems and Hardware Test (CST). Seine Schwerpunkte liegen in der digitalen Signalverarbeitung und dem Entwurf von Algorithmen zur berührungslosen Vitalparameterdetektion mittels Radar.

Arbeitsgebiete

  • Digitale Signalverarbeitung
  • Entwurf von Algorithmen zur Vitalparameterdetektion
  • Messung, Auswertung und Analyse von Vitalparametern

Abschlussarbeiten

Aus unseren Forschungsprojekten ergeben sich stets interesannte Themen für Abschlussarbeiten (Bachelor / Master) oder Forschungspraktika. Für weitere Informationen und aktuelle Themen einfach unverbindlich vorbeikommen oder eine E-Mail schreiben.

Abgeschlossene Arbeiten

  • Forschungspraktikum Timo Maiwald, "Entwurf und Aufbau eines Testverfahrens zur Messung und Evaluierung von Pulskapseln für die Sphygmographie", 09/2019
  • Masterarbeit Oliver Schlegel, "Aufbau und Vergleich unterschiedlicher Systemkonzepte zur radarbasierten Vitalparameterdetektion", 12/2018
  • Bachelorarbeit Melanie Mai, "Erkennung von atemwegsbedingten Schlafstörungen in polysomnographischen Daten mittels intelligenter Mustererkennung", 12/2018
  • Bachelorarbeit Philipp Süß, "Implementierung einer Android-Applikation für die Kommunikation mit einem mobilen Sechstor-Radar", 06/2018
  • Bachelorarbeit Michael Roth, "Untersuchung eines neuartigen Konzepts zur berührungslosen Atemungsdetektion", 05/2018
  • Forschungspraktikum Oliver Schlegel, "Entwicklung eines portablen Radarsystems für die berührungslose Vitalparametermessung", 05/2018

Preise & Auszeichnungen

  • K. Shi, GMDS-Förderpreis für Medizinische Informatik, Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), 2018. [Bibtex]
    @prize{shi_prize_2018a,
    author = {Shi, Kilin},
    booktitle = {Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS)},
    cris = {shi_prize_2018a},
    year = {2018},
    month = {09},
    day = {05},
    title = {GMDS-Förderpreis für Medizinische Informatik},
    type = {20773-Kleiner Preis},
    }
  • K. Shi, 2018 IEEE I2MTC Student Travel Award, IEEE, 2018. [Bibtex]
    @prize{shi_prize_2018,
    abstract = {Student Travel Award for the paper, "Contactless Person Identification Using Cardiac Radar Signals" in the amount of $600.00 USD to offset expenses related to the attendance at I2MTC 2018 in Houston, TX, USA.},
    author = {Shi, Kilin},
    booktitle = {IEEE},
    cris = {shi_prize_2018},
    year = {2018},
    month = {07},
    day = {01},
    title = {2018 IEEE I2MTC Student Travel Award},
    type = {20773-Kleiner Preis},
    }
  • C. Will, F. Lurz, K. Shi, R. Weigel, and A. Koelpin, Excellent Demo Track Presentation, Radio and Wireless Week, 2016. [Bibtex]
    @prize{will_prize_2016,
    abstract = {For an exemplary demonstration of: Android-based Real Time Heartbeat Detection Using a Microwave Radar},
    author = {Will, Christoph and Lurz, Fabian and Shi, Kilin and Weigel, Robert and Koelpin, Alexander},
    booktitle = {Radio and Wireless Week},
    cris = {will_prize_2016},
    year = {2016},
    month = {01},
    day = {25},
    title = {Excellent Demo Track Presentation},
    type = {20773-Kleiner Preis},
    }
  • K. Shi and S. Schellenberger, 3rd Prize Most Innovative Project Award, Innovation Research Lab Exhibition (IRLE), 2015. [Bibtex]
    @prize{shi_prize_2015,
    abstract = {Awarded Project: Contactless and Android-based real time heartbeat detection using a microwave radar},
    author = {Shi, Kilin and Schellenberger, Sven},
    booktitle = {Innovation Research Lab Exhibition (IRLE)},
    cris = {shi_prize_2015},
    year = {2015},
    month = {09},
    day = {03},
    title = {3rd Prize Most Innovative Project Award},
    type = {20773-Kleiner Preis},
    }

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Publikationen

2020

  • S. Schellenberger, K. Shi, J. P. Wiedemann, F. Lurz, R. Weigel, and A. Koelpin, "An Ensemble LSTM Architecture for Clinical Sepsis Detection" in International Conference in Computing in Cardiology 2019, Singapur, 2020 (to be published). [Bibtex]
    @inproceedings{schellenberger2020,
    author = {Schellenberger, Sven and Shi, Kilin and Wiedemann, Jan Philipp and Lurz, Fabian and Weigel, Robert and Koelpin, Alexander},
    booktitle = {International Conference in Computing in Cardiology 2019},
    cris = {https://cris.fau.de/converis/publicweb/publication/229466673},
    year = {2020},
    month = {09},
    day = {08},
    eventdate = {2019-09-08/2019-09-11},
    faupublication = {yes},
    note = {unpublished},
    peerreviewed = {automatic},
    title = {An Ensemble LSTM Architecture for Clinical Sepsis Detection},
    type = {Journal Article},
    venue = {Singapur},
    }
  • F. Michler, K. Shi, S. Schellenberger, T. Lenhard, F. Dassel, B. Scheiner, F. Lurz, R. Weigel, and A. Koelpin, "A Radar-Based Vital Sign Sensing System for In-Bed Monitoring in Clinical Applications" in German Microwave Conference 2020, Cottbus, Germany, 2020 (to be published). [Bibtex]
    @inproceedings{michler2020a,
    author = {Michler, Fabian and Shi, Kilin and Schellenberger, Sven and Lenhard, Thilo and Dassel, Florian and Scheiner, Benedict and Lurz, Fabian and Weigel, Robert and Koelpin, Alexander},
    booktitle = {German Microwave Conference 2020},
    cris = {https://cris.fau.de/converis/publicweb/publication/230252106},
    year = {2020},
    month = {03},
    day = {09},
    eventdate = {2020-03-09/2020-03-11},
    faupublication = {yes},
    note = {unpublished},
    peerreviewed = {automatic},
    title = {A Radar-Based Vital Sign Sensing System for In-Bed Monitoring in Clinical Applications},
    venue = {Cottbus, Germany},
    }
  • F. Michler, K. Shi, S. Schellenberger, B. Scheiner, F. Lurz, R. Weigel, and A. Koelpin, "On the Impact of System Nonlinearities in Continuous-Wave Radar Systems for Vital Parameter Sensing" in IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet), San Antonio, TX, USA, 2020 (to be published). [Bibtex]
    @inproceedings{michler2020,
    author = {Michler, Fabian and Shi, Kilin and Schellenberger, Sven and Scheiner, Benedict and Lurz, Fabian and Weigel, Robert and Koelpin, Alexander},
    language = {English},
    booktitle = {IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)},
    cris = {https://cris.fau.de/converis/publicweb/publication/227259366},
    year = {2020},
    month = {01},
    day = {26},
    eventdate = {2020-01-26/2020-01-29},
    faupublication = {yes},
    note = {unpublished},
    peerreviewed = {automatic},
    title = {On the Impact of System Nonlinearities in Continuous-Wave Radar Systems for Vital Parameter Sensing},
    venue = {San Antonio, TX, USA},
    }

2019

  • S. Schellenberger, K. Shi, F. Michler, F. Lurz, R. Weigel, and A. Koelpin, "Respiration Extraction from Radar Heart Sound Measurements" in International Engineering in Medicine and Biology Conference, Berlin, Germany, 2019, pp. 6533-6535. [Bibtex]
    @inproceedings{schellenberger2019,
    abstract = {Radar-based respiration measurement is susceptible to upper body movement in addition to the respiratory motion of the chest. This parasitic movement can only be canceled using a dual radar system from the front and back. However, the larger hardware effort could be avoided if a physiological parameter is measured that is influenced by respiration only but not by the movement. This could then be used to indirectly derive breathing. In this paper a method is presented, how the respiration can be deduced despite of upper body movements. To achieve this, a Six-Port interferometer is used to measure the heart sound envelogram of a test person from which subsequently the respiration can be reconstructed.},
    author = {Schellenberger, Sven and Shi, Kilin and Michler, Fabian and Lurz, Fabian and Weigel, Robert and Koelpin, Alexander},
    editor = {IEEE},
    language = {English},
    booktitle = {International Engineering in Medicine and Biology Conference},
    cris = {https://cris.fau.de/converis/publicweb/publication/215825765},
    year = {2019},
    month = {10},
    day = {23},
    eventdate = {2019-07-23/2019-07-27},
    faupublication = {yes},
    pages = {6533--6535},
    peerreviewed = {Yes},
    title = {Respiration Extraction from Radar Heart Sound Measurements},
    type = {Journal Article},
    venue = {Berlin, Germany},
    }
  • K. Shi, S. Schellenberger, L. Weber, P. Wiedemann, F. Michler, T. Steigleder, A. Malessa, F. Lurz, C. Ostgathe, R. Weigel, and A. Koelpin, "Segmentation of Radar-Recorded Heart Sound Signals Using Bidirectional LSTM Networks" in 41st IEEE International Engineering in Medicine and Biology Conference, Berlin, Germany, 2019, pp. 6677-6680. [DOI] [Bibtex]
    @inproceedings{shi2019,
    abstract = {Sounds caused by the action of the heart reflect both its health as well as deficiencies and are examined by physicians since antiquity. Pathologies of the valves, e.g. insufficiencies and stenosis, cardiac effusion, arrhythmia, inflammation of the surrounding tissue and other diagnosis can be reached by experienced physicians. However, practice is needed to assess the findings correctly. Furthermore, stethoscopes do not allow for long-term monitoring of a patient. Recently, radar technology has shown the ability to perform continuous touchless and thereby burden-free heart sound measurements. In order to perform automated classification of the signals, the first and most important step is to segment the heart sounds into their physiological phases. This paper examines the use of different Long Short-Term Memory (LSTM) architectures for this purpose based on a large dataset of radar-recorded heart sounds gathered from 30 different test persons in a clinical study. The best-performing network, a bidirectional LSTM, achieves a sample-wise accuracy of 93.4% and a F1 score for the first heart sound of 95.8%.
    }, author = {Shi, Kilin and Schellenberger, Sven and Weber, Leon and Wiedemann, Philipp and Michler, Fabian and Steigleder, Tobias and Malessa, Anke and Lurz, Fabian and Ostgathe, Christoph and Weigel, Robert and Koelpin, Alexander}, language = {English}, booktitle = {41st IEEE International Engineering in Medicine and Biology Conference}, cris = {https://cris.fau.de/converis/publicweb/publication/215822199}, year = {2019}, month = {10}, day = {07}, doi = {10.1109/EMBC.2019.8857863}, eventdate = {2019-07-23/2019-07-27}, faupublication = {yes}, issn = {1557-170X}, keywords = {Heart;Electrocardiography;Radar;Logic gates;Medical services;Radar antennas;Pathology}, pages = {6677--6680}, peerreviewed = {Yes}, title = {Segmentation of Radar-Recorded Heart Sound Signals Using Bidirectional LSTM Networks}, type = {Konferenzschrift}, url = {https://ieeexplore.ieee.org/document/8857863}, venue = {Berlin, Germany}, }
  • K. Shi, S. Schellenberger, F. Michler, T. Steigleder, A. Malessa, F. Lurz, C. Ostgathe, R. Weigel, and A. Koelpin, "Automatic Signal Quality Index Determination of Radar-Recorded Heart Sound Signals Using Ensemble Classification", IEEE Transactions on Biomedical Engineering, 2019. [DOI] [Bibtex]
    @article{shi2019a,
    abstract = {Objective: Radar technology promises to be a
    touchless and thereby burden-free method for continuous
    heart sound monitoring which can be used to detect cardiovascular
    diseases. However, the first and most crucial step
    is to differentiate between high- and low-quality segments
    in a recording to assess their suitability for a subsequent
    automated analysis. This paper gives a comprehensive
    study on this task and firstly addresses the specific characteristics
    of radar-recorded heart sound signals. Methods:
    To gather heart sound signals recorded from radar, a
    bistatic radar system was built and installed at the university
    hospital. Under medical supervision, heart sound data
    were recorded from 30 healthy test subjects. The signals
    were segmented and labeled as high- or low-quality by a medical expert. Different state-of-the-art pattern classification
    algorithms were evaluated for the task of automated
    signal quality determination and the most promising one
    was optimized and evaluated using leave-one-subject-out cross-validation. Results: The proposed classifier is able to
    achieve an accuracy of up to 96.36% and demonstrates a
    superior classification performance compared to the stateof-
    the-art classifier with a maximum accuracy of 76.00 %.
    Conclusion: This paper introduces an ensemble classifier
    that is able to perform automated signal quality determination
    of radar-recorded heart sound signals with a
    high accuracy. Significance: Besides achieving a higher
    performance compared to state-of-the-art classifiers, the
    presented study is the first one to deal with the quality
    determination of heart sounds that are recorded by radar
    systems. The proposed method enables contactless and
    continuous heart sound monitoring for the detection of
    cardiovascular diseases.
    }, author = {Shi, Kilin and Schellenberger, Sven and Michler, Fabian and Steigleder, Tobias and Malessa, Anke and Lurz, Fabian and Ostgathe, Christoph and Weigel, Robert and Koelpin, Alexander}, cris = {https://cris.fau.de/converis/publicweb/publication/219338194}, year = {2019}, month = {06}, day = {05}, doi = {10.1109/TBME.2019.2921071}, faupublication = {yes}, issn = {0018-9294}, journaltitle = {IEEE Transactions on Biomedical Engineering}, keywords = {biomedical engineering; biomedical informatics; biomedical signal processing; heart sounds; medical radar,pattern recognition; phonocardiography}, peerreviewed = {Yes}, shortjournal = {IEEE T BIO-MED ENG}, title = {Automatic Signal Quality Index Determination of Radar-Recorded Heart Sound Signals Using Ensemble Classification}, type = {Article in Journal}, url = {https://ieeexplore.ieee.org/document/8731709}, }
  • F. Michler, K. Shi, S. Schellenberger, T. Steigleder, A. Malessa, L. Hameyer, N. Neumann, F. Lurz, C. Ostgathe, R. Weigel, and A. Koelpin, "A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters", Sensors, vol. 19, iss. 11, 2019. [DOI] [Bibtex]
    @article{michler2019c,
    abstract = {
    Vital parameters are key indicators for the assessment of health. Conventional methods rely on direct contact with the patients’ skin and can hence cause discomfort and reduce autonomy. This article presents a bistatic 24 GHz radar system based on an interferometric six-port architecture and features a precision of 1 µm in distance measurements. Placed at a distance of 40 cm in front of the human chest, it detects vibrations containing respiratory movements, pulse waves and heart sounds. For the extraction of the respiration rate, time-domain approaches like autocorrelation, peaksearch and zero crossing rate are compared to the Fourier transform, while template matching and a hidden semi-Markov model are utilized for the detection of the heart rate from sphygmograms and heart sounds. A medical study with 30 healthy volunteers was conducted to collect 5.5 h of data, where impedance cardiogram and electrocardiogram were used as gold standard for synchronously recording respiration and heart rate, respectively. A low root mean square error for the breathing rate (0.828 BrPM) and a high overall F1 score for heartbeat detection (93.14%) could be achieved using the proposed radar system and signal processing.
    }, author = {Michler, Fabian and Shi, Kilin and Schellenberger, Sven and Steigleder, Tobias and Malessa, Anke and Hameyer, Laura and Neumann, Nina and Lurz, Fabian and Ostgathe, Christoph and Weigel, Robert and Koelpin, Alexander}, language = {English}, cris = {https://cris.fau.de/converis/publicweb/publication/216337023}, year = {2019}, month = {05}, day = {31}, doi = {10.3390/S19112492}, faupublication = {yes}, issn = {1424-8220}, journaltitle = {Sensors}, number = {11}, peerreviewed = {Yes}, shortjournal = {SENSORS-BASEL}, title = {A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters}, type = {online publication}, url = {https://www.mdpi.com/1424-8220/19/11/2492}, volume = {19}, }
  • F. Michler, K. Shi, S. Schellenberger, B. Scheiner, F. Lurz, R. Weigel, and A. Koelpin, "Pulse Wave Velocity Detection Using a 24 GHz Six-Port Based Doppler Radar" in IEEE Radio and Wireless Symposium (RWS), Orlando, FL, USA, 2019, pp. 1-3. [DOI] [Bibtex]
    @inproceedings{michler2019a,
    author = {Michler, Fabian and Shi, Kilin and Schellenberger, Sven and Scheiner, Benedict and Lurz, Fabian and Weigel, Robert and Koelpin, Alexander},
    language = {English},
    booktitle = {IEEE Radio and Wireless Symposium (RWS)},
    cris = {https://cris.fau.de/converis/publicweb/publication/202125433},
    year = {2019},
    month = {01},
    day = {20},
    doi = {10.1109/RWS.2019.8714521},
    eventdate = {2019-01-20/2019-01-23},
    faupublication = {yes},
    isbn = {9781538659441},
    issn = {2164-2974},
    pages = {1--3},
    peerreviewed = {Yes},
    title = {Pulse Wave Velocity Detection Using a 24 GHz Six-Port Based Doppler Radar},
    type = {Konferenzschrift},
    venue = {Orlando, FL, USA},
    }
  • B. Scheiner, S. Schellenberger, K. Shi, E. Heusinger, F. Michler, F. Lurz, R. Weigel, and A. Koelpin, "Low-power contactless LC-tank based respiratory sensor", Electronics Letters, pp. 304-306, 2019. [DOI] [Bibtex]
    @article{scheiner2019a,
    author = {Scheiner, Benedict and Schellenberger, Sven and Shi, Kilin and Heusinger, Elisabeth and Michler, Fabian and Lurz, Fabian and Weigel, Robert and Koelpin, Alexander},
    cris = {https://cris.fau.de/converis/publicweb/publication/208613711},
    year = {2019},
    month = {01},
    day = {29},
    doi = {10.1049/EL.2018.7936},
    faupublication = {yes},
    issn = {0013-5194},
    journaltitle = {Electronics Letters},
    pages = {304--306},
    peerreviewed = {Yes},
    shortjournal = {ELECTRON LETT},
    title = {Low-power contactless LC-tank based respiratory sensor},
    type = {Letter},
    }

2018

  • K. Shi, S. Schellenberger, T. Steigleder, F. Michler, F. Lurz, R. Weigel, and A. Koelpin, "Contactless Carotid Pulse Measurement Using Continuous Wave Radar" in 2018 Asia-Pacific Microwave Conference, Kyoto, Japan, 2018. [Bibtex]
    @inproceedings{shi2018b,
    abstract = {Cardiovascular diseases are one of the major causes of death. Regular checkups and preventive actions can drastically help reducing fatal incidences. This can be achieved by monitoring the carotid artery or rather the carotid pulse signal. Commonly, ultrasound devices are used for that purpose. However, these devices are costly, mostly stationary and their usage requires training and experience. This paper investigates the possible usage of radar systems as a contactless and low-cost alternative for carotid pulse measurements. Theoretical investigations reveal a linear relationship between the measurands of both devices and synchronous recordings from three test persons further confirm the feasibility of using radar systems as a potential device for monitoring cardiovascular diseases.},
    author = {Shi, Kilin and Schellenberger, Sven and Steigleder, Tobias and Michler, Fabian and Lurz, Fabian and Weigel, Robert and Koelpin, Alexander},
    language = {English},
    booktitle = {2018 Asia-Pacific Microwave Conference},
    cris = {https://cris.fau.de/converis/publicweb/publication/202749417},
    year = {2018},
    month = {11},
    day = {06},
    eventdate = {2018-11-06/2018-08-09},
    faupublication = {yes},
    peerreviewed = {unknown},
    title = {Contactless Carotid Pulse Measurement Using Continuous Wave Radar},
    type = {Konferenzschrift},
    venue = {Kyoto, Japan},
    }
  • S. Schellenberger, K. Shi, M. Mai, J. P. Wiedemann, T. Steigleder, B. Eskofier, R. Weigel, and A. Koelpin, "Detecting Respiratory Effort-Related Arousals in Polysomnographic Data Using LSTM Networks" in Computing in Cardiology, MECC Maastricht, Netherlands, 2018. [Bibtex]
    @inproceedings{schellenberger2018,
    author = {Schellenberger, Sven and Shi, Kilin and Mai, Melanie and Wiedemann, Jan Philipp and Steigleder, Tobias and Eskofier, Björn and Weigel, Robert and Koelpin, Alexander},
    language = {English},
    booktitle = {Computing in Cardiology},
    cris = {https://cris.fau.de/converis/publicweb/publication/202377694},
    year = {2018},
    month = {10},
    day = {23},
    eventdate = {2018-09-23/2018-09-26},
    faupublication = {yes},
    peerreviewed = {Yes},
    title = {Detecting Respiratory Effort-Related Arousals in Polysomnographic Data Using LSTM Networks},
    type = {Konferenzschrift},
    venue = {MECC Maastricht, Netherlands},
    }
  • I. Lau, M. Frank, K. Shi, F. Lurz, A. Talai, R. Weigel, and A. Koelpin, "An Accurate Free Space Method for Material Characterization in W-Band Using Material Samples with Two Different Thicknesses" in European Microwave Conference (EuMC), Madrid, Spain, 2018, pp. 202-205. [DOI] [Bibtex]
    @inproceedings{lau2018a,
    abstract = {This paper presents an accurate free space method for material characterization eliminating the problem
    of the required precise orientation between the material and the antennas and expanding the unambiguous range for electrical thick samples. It includes theoretical considerations and measurement results of four different materials. Overall, a maximum measurement uncertainty of 0.0153 for the relative permittivity and 0.001 for the loss tangent in the W-band can be achieved. Depending on the variation of the material’s thickness, the implemented setup changes lead to an reduction of the measurement uncertainty of 8 to 58%.
    }, author = {Lau, Isabella and Frank, Martin and Shi, Kilin and Lurz, Fabian and Talai, Armin and Weigel, Robert and Koelpin, Alexander}, language = {English}, booktitle = {European Microwave Conference (EuMC)}, cris = {https://cris.fau.de/converis/publicweb/publication/200562733}, year = {2018}, month = {09}, day = {25}, doi = {10.23919/EUMC.2018.8541437}, eventdate = {2018-09-25/2018-09-27}, faupublication = {yes}, keywords = {permittivity,dielectric materials,microwave measurement,materials nondestructive testing}, pages = {202--205}, peerreviewed = {unknown}, title = {An Accurate Free Space Method for Material Characterization in W-Band Using Material Samples with Two Different Thicknesses}, type = {Konferenzschrift}, url = {https://ieeexplore.ieee.org/document/8541437}, venue = {Madrid, Spain}, }
  • T. Steigleder, A. Malessa, K. Shi, F. Michler, S. Schellenberger, M. Heckel, A. Koelpin, and C. Ostgathe, "Kontinuierliche berührungslose Erfassung von Herzschlag und Atmung als Surrogatparameter für Symptomlinderung–eine Pilotstudie", Zeitschrift für Palliativmedizin, vol. 19, iss. 05, 2018. [DOI] [Bibtex]
    @article{steigleder2018,
    abstract = {Fokus der Palliativmedizin (PM) ist die persönliche Begegnung. Häufig wird bei schwerer Krankheit auf apparative Therapie und Diagnostik verzichtet. Dennoch könnten Biomarker (BM, zB Herz-und Atemfrequenz) wichtige ergänzende Hinweise auf Symptomlast und zur individuellen Anpassung der medikamentösen Behandlung geben. Wir erforschen den innovativen Ansatz, BM mit Radartechnologie (RT) berührungs-und belastungsfrei zu erfassen. Ziel soll es ua in sein, in Zukunft die Symptomlinderung zu verbessern. RT, die auf einem interferometrischem Verfahren beruht, erfasst Herzschläge und Atmung mittels Messung der Distanzänderung zu der Radarantenne aus einigen Metern Entfernung und durch Materialen wie Kleidung oder Bettdecke hindurch. Lernende Algorithmen extrahieren die spezifischen Signale und werten sie automatisiert aus.},
    author = {Steigleder, Tobias and Malessa, Anke and Shi, Kilin and Michler, Fabian and Schellenberger, Sven and Heckel, Maria and Koelpin, Alexander and Ostgathe, Christoph},
    language = {German},
    cris = {https://cris.fau.de/converis/publicweb/publication/203858370},
    year = {2018},
    month = {08},
    doi = {10.1055/S-0038-1669350},
    faupublication = {yes},
    issn = {1615-2921},
    journaltitle = {Zeitschrift für Palliativmedizin},
    number = {05},
    peerreviewed = {No},
    title = {Kontinuierliche berührungslose Erfassung von Herzschlag und Atmung als Surrogatparameter für Symptomlinderung–eine Pilotstudie},
    type = {Article in Journal},
    url = {https://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0038-1669350},
    volume = {19},
    }
  • C. Will, K. Shi, S. Schellenberger, T. Steigleder, F. Michler, J. Fuchs, R. Weigel, C. Ostgathe, and A. Koelpin, "Radar-Based Heart Sound Detection", Scientific Reports, 2018. [DOI] [Bibtex]
    @article{will2018,
    abstract = {This paper introduces heart sound detection by radar systems, which enables touch-free and continuous monitoring of heart sounds. The proposed measurement principle entails two enhancements in modern vital sign monitoring. First, common touch-based auscultation with a phonocardiograph can be simplified by using biomedical radar systems. Second, detecting heart sounds offers a further feasibility in radar-based heartbeat monitoring. To analyse the performance of the proposed measurement principle, 9930 seconds of eleven persons-under-tests' vital signs were acquired and stored in a database using multiple, synchronised sensors: a continuous wave radar system, a phonocardiograph (PCG), an electrocardiograph (ECG), and a temperature-based respiration sensor. A hidden semi-Markov model is utilised to detect the heart sounds in the phonocardiograph and radar data and additionally, an advanced template matching (ATM) algorithm is used for state-of-the-art radar-based heartbeat detection. The feasibility of the proposed measurement principle is shown by a morphology analysis between the data acquired by radar and PCG for the dominant heart sounds S1 and S2: The correlation is 82.97 ± 11.15% for 5274 used occurrences of S1 and 80.72 ± 12.16% for 5277 used occurrences of S2. The performance of the proposed detection method is evaluated by comparing the F-scores for radar and PCG-based heart sound detection with ECG as reference: Achieving an F1 value of 92.22 ± 2.07%, the radar system approximates the score of 94.15 ± 1.61% for the PCG. The accuracy regarding the detection timing of heartbeat occurrences is analysed by means of the root-mean-square error: In comparison to the ATM algorithm (144.9 ms) and the PCG-based variant (59.4 ms), the proposed method has the lowest error value (44.2 ms). Based on these results, utilising the detected heart sounds considerably improves radar-based heartbeat monitoring, while the achieved performance is also competitive to phonocardiography.
    }, author = {Will, Christoph and Shi, Kilin and Schellenberger, Sven and Steigleder, Tobias and Michler, Fabian and Fuchs, Jonas and Weigel, Robert and Ostgathe, Christoph and Koelpin, Alexander}, cris = {https://cris.fau.de/converis/publicweb/publication/202373734}, year = {2018}, month = {07}, day = {26}, doi = {10.1038/S41598-018-29984-5}, faupublication = {yes}, issn = {2045-2322}, journaltitle = {Scientific Reports}, peerreviewed = {Yes}, title = {Radar-Based Heart Sound Detection}, type = {online publication}, url = {https://www.nature.com/articles/s41598-018-29984-5}, }
  • K. Shi, C. Will, R. Weigel, and A. Koelpin, "Contactless Person Identification Using Cardiac Radar Signals" in 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Houston, Texas, USA, 2018. [DOI] [Bibtex]
    @inproceedings{shi2018a,
    abstract = {Radar systems have been researched for the use of presence detection and contactless vital sign monitoring. However, there exists no established biometrics for remote and unique person identification during such monitoring. Conventional biometrics like fingerprint or iris scan yield the disadvantage that direct contact with the person is needed. This paper explores the possibility of using cardiac radar signals as new biometric parameter for unique person identification. Measurements on different persons are performed using a 24GHz continuous wave radar system which utilizes the Six-Port technology. An advanced signal processing and classification routine is presented to perform automatic person identification. Among several classifiers, quadratic support vector machines achieve the best performance and reach an overall accuracy of up to 94.6%.},
    author = {Shi, Kilin and Will, Christoph and Weigel, Robert and Koelpin, Alexander},
    language = {English},
    booktitle = {2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)},
    cris = {https://cris.fau.de/converis/publicweb/publication/107873964},
    year = {2018},
    month = {05},
    day = {14},
    doi = {10.1109/I2MTC.2018.8409645},
    eventdate = {2018-05-14/2018-05-17},
    faupublication = {yes},
    peerreviewed = {unknown},
    title = {Contactless Person Identification Using Cardiac Radar Signals},
    type = {Konferenzschrift},
    venue = {Houston, Texas, USA},
    }
  • K. Shi, C. Will, T. Steigleder, F. Michler, R. Weigel, C. Ostgathe, and A. Koelpin, "A Contactless System for Continuous Vital Sign Monitoring in Palliative and Intensive Care" in 2018 Annual IEEE International Systems Conference (SysCon), Vancouver, Kanada, Canada, 2018. [DOI] [Bibtex]
    @inproceedings{shi2018,
    abstract = {Vital sign monitoring systems play a crucial role in the medical environment. Patients in palliative and intensive care can especially benefit from continuous observation by detecting sudden changes in health status allowing the medical staff to promptly provide intensified symptom amelioration at the end-of-life. However, machine based monitoring like electrocardiography requires the patient being permanently wired to the device. This circumstance severely restricts the independence and mobility of the patient, leading to a decrease in the quality of life. For this reason, palliative care stations currently usually avoid continuous monitoring. After a comprehensive literature survey and background research, this paper presents a novel approach by using a single radar system to perform continuous and above all contactless monitoring of respiration and heartbeat. A continuous wave radar using the Six-Port technology is introduced and its feasibility, performance and real-time capability are validated in long-term measurements on different test persons. In comparison to gold standard reference devices a correlation of 97.6% was achieved.},
    author = {Shi, Kilin and Will, Christoph and Steigleder, Tobias and Michler, Fabian and Weigel, Robert and Ostgathe, Christoph and Koelpin, Alexander},
    language = {English},
    booktitle = {2018 Annual IEEE International Systems Conference (SysCon)},
    cris = {https://cris.fau.de/converis/publicweb/publication/106234964},
    year = {2018},
    month = {04},
    day = {23},
    doi = {10.1109/SYSCON.2018.8369507},
    eventdate = {2018-04-23/2018-04-26},
    faupublication = {yes},
    peerreviewed = {unknown},
    title = {A Contactless System for Continuous Vital Sign Monitoring in Palliative and Intensive Care},
    type = {Konferenzschrift},
    venue = {Vancouver, Kanada, Canada},
    }
  • A. Malessa, T. Steigleder, K. Shi, C. Will, F. Michler, A. Koelpin, and C. Ostgathe, "Neue Wege in der Palliativmedizin – Herausforderungen bei der Entwicklung einer berührungslosen, nicht-belastenden Messung von Vitalparametern" in Wissenschaftliche Arbeitstage der DGP, Göttingen, Germany, 2018. [Bibtex]
    @inproceedings{malessa2018,
    author = {Malessa, Anke and Steigleder, Tobias and Shi, Kilin and Will, Christoph and Michler, Fabian and Koelpin, Alexander and Ostgathe, Christoph},
    language = {German},
    booktitle = {Wissenschaftliche Arbeitstage der DGP},
    cris = {https://cris.fau.de/converis/publicweb/publication/107042364},
    year = {2018},
    month = {03},
    day = {09},
    eventdate = {2018-03-09/2018-03-10},
    faupublication = {yes},
    peerreviewed = {Yes},
    title = {Neue Wege in der Palliativmedizin – Herausforderungen bei der Entwicklung einer berührungslosen, nicht-belastenden Messung von Vitalparametern},
    type = {Konferenzschrift},
    venue = {Göttingen, Germany},
    }
  • S. Schellenberger, K. Shi, T. Steigleder, F. Michler, F. Lurz, R. Weigel, and A. Koelpin, "Support Vector Machine-Based Instantaneous Presence Detection for Continuous Wave Radar Systems" in 2018 Asia-Pacific Microwave Conference, Kyoto, Japan, 2018, pp. 1465-1467. [DOI] [Bibtex]
    @inproceedings{schellenberger2018a,
    abstract = {Instantaneous detection of missing vital signs at inpatient beds enables fast intervention for cardiac arrests.
    Using a 24 GHz bistatic radar, a fast presence detection based on a support vector machine (SVM) classifer is realized. Large body motions or even small distance deviations, such as movement of the chest induced by heartbeat or breathing, are distinguishable from the measured noise of an unoccupied bed. For classifcation two features are calculated based on windowed I and Q data. Performance is evaluated by varying window sizes from 0.2 ... 1.5 s for feature calculation and training of the SVM classifer. In the resting scenario an accuracy of 99.2% and F1-score of 99.1% with windows of 0.2 s is achieved.
    }, author = {Schellenberger, Sven and Shi, Kilin and Steigleder, Tobias and Michler, Fabian and Lurz, Fabian and Weigel, Robert and Koelpin, Alexander}, language = {English}, booktitle = {2018 Asia-Pacific Microwave Conference}, cris = {https://cris.fau.de/converis/publicweb/publication/203101192}, year = {2018}, month = {01}, day = {06}, doi = {10.23919/APMC.2018.8617181}, eventdate = {2018-11-06/2018-11-09}, faupublication = {yes}, pages = {1465--1467}, peerreviewed = {Yes}, title = {Support Vector Machine-Based Instantaneous Presence Detection for Continuous Wave Radar Systems}, type = {Journal Article}, venue = {Kyoto, Japan}, }

2017

  • C. Will, K. Shi, S. Schellenberger, T. Steigleder, F. Michler, R. Weigel, C. Ostgathe, and A. Koelpin, "Local Pulse Wave Detection using Continuous Wave Radar Systems", IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, vol. 1, iss. 2, pp. 81-89, 2017. [DOI] [Bibtex]
    @article{will2017e,
    author = {Will, Christoph and Shi, Kilin and Schellenberger, Sven and Steigleder, Tobias and Michler, Fabian and Weigel, Robert and Ostgathe, Christoph and Koelpin, Alexander},
    publisher = {IEEE},
    booktitle = {IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology},
    cris = {https://cris.fau.de/converis/publicweb/publication/123402224},
    year = {2017},
    month = {10},
    day = {27},
    doi = {10.1109/JERM.2017.2766567},
    faupublication = {yes},
    issn = {2469-7249},
    journaltitle = {IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology},
    number = {2},
    pages = {81--89},
    peerreviewed = {Yes},
    title = {Local Pulse Wave Detection using Continuous Wave Radar Systems},
    type = {Article in Journal},
    volume = {1},
    }
  • C. Will, K. Shi, R. Weigel, and A. Koelpin, "Advanced Template Matching Algorithm for Instantaneous Heartbeat Detection using Continuous Wave Radar Systems" in IEEE MTT-S International Microwave Bio Conference (IMBioC), Gothenburg, Sweden, 2017. [DOI] [Bibtex]
    @inproceedings{will2017a,
    abstract = {Instantaneous heartbeat detection is a key parameter in modern vital sign monitoring. Continuous wave (CW) radar systems enable contactless measurements of the vibrations on the human skin effected by heartbeats. Since a high accuracy as well as robustness of the measurement sensor is appreciated, the belonging signal processing routine has to deal with challenging requirements. In this paper, an advanced template matching (ATM) algorithm is proposed to enhance the performance regarding instantaneous heartbeat detection using CW radar systems. Compared to common template matching algorithms, multiple heterogeneous templates are utilized in this approach, at which the appropriate template type is determined by prior feature detection. A 24 Ghz Six-Port microwave interferometer is used for vital sign measurements of a person-under-test. The functionality of the proposed algorithm is verified by a synchronous reference electrocardiogram (ECG) and its enhancement is shown by reducing the root-mean-square error (RMSE) of the interbeat intervals (IBI) compared to an ordinary template matching algorithm.},
    author = {Will, Christoph and Shi, Kilin and Weigel, Robert and Koelpin, Alexander},
    language = {English},
    publisher = {IEEE},
    booktitle = {IEEE MTT-S International Microwave Bio Conference (IMBioC)},
    cris = {https://cris.fau.de/converis/publicweb/publication/123056824},
    year = {2017},
    month = {05},
    day = {15},
    doi = {10.1109/IMBIOC.2017.7965797},
    eventdate = {2017-05-15/2017-05-17},
    faupublication = {yes},
    peerreviewed = {Yes},
    title = {Advanced Template Matching Algorithm for Instantaneous Heartbeat Detection using Continuous Wave Radar Systems},
    type = {Konferenzschrift},
    venue = {Gothenburg, Sweden},
    }

2016

  • C. Will, K. Shi, F. Lurz, R. Weigel, and A. Koelpin, "Instantaneous Heartbeat Detection using a Cross-Correlation based Template Matching for Continuous Wave Radar Systems" in IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet), Austin, TX, USA, 2016, pp. 31-34. [DOI] [Bibtex]
    @inproceedings{will2016,
    abstract = {Instantaneous heartbeat detection is necessary for an optimal patient monitoring in healthcare centers. Whereas electrocardiogram (ECG) and ballistocardiogram (BCG), for instance, are established methods for real time monitoring nowadays, contact-free systems are appreciated. Herewith, a 24 GHz continuous wave (CW) radar system with an intelligent signal processing is presented. Common heartbeat detection algorithms use the fast Fourier transform (FFT), and therefore require an adequate observation time window and rather detect an averaged heart rate. The proposed algorithm in contrast accomplishes the detection of single heart beats directly in the time domain with an insignificant delay. The core of that algorithm is a template matching using the cross-correlation method. In this paper, after describing the radar system with the novel signal processing, the presented system is compared to a commercial ECG product.},
    author = {Will, Christoph and Shi, Kilin and Lurz, Fabian and Weigel, Robert and Koelpin, Alexander},
    publisher = {IEEE},
    booktitle = {IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)},
    cris = {https://cris.fau.de/converis/publicweb/publication/108087804},
    year = {2016},
    month = {01},
    day = {24},
    doi = {10.1109/WISNET.2016.7444314},
    eventdate = {2016-01-24/2016-01-27},
    faupublication = {yes},
    keywords = {Radar interferometry; Biomedical signal processing; Template matching},
    pages = {31--34},
    peerreviewed = {Yes},
    title = {Instantaneous Heartbeat Detection using a Cross-Correlation based Template Matching for Continuous Wave Radar Systems},
    type = {Konferenzschrift},
    venue = {Austin, TX, USA},
    }

2015

  • C. Will, K. Shi, F. Lurz, R. Weigel, and A. Koelpin, "Intelligent Signal Processing Routine for Instantaneous Heart Rate Detection using a Six-Port Microwave Interferometer" in IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Nusa Dua, Bali, Indonesia, 2015, pp. 483-487. [DOI] [Bibtex]
    @inproceedings{will2015,
    abstract = {Instantaneous heart rate detection is one of the key parameters in medical vital parameter monitoring. In medical centers e.g., real time monitoring of the vital signs of a patient under surveillance is necessary. Nowadays, the dominant technologies are electrocardiogram (ECG) or ballistocardiogram (BCG), but the required direct contact to the person-under-surveillance is a common drawback of these sensors. In this paper, a Six-Port microwave interferometer is presented and used to detect the current heart rate of a person-under-test. An intelligent signal processing routing is proposed, that avoids the fast Fourier transform (FFT) due to the implicated longsome observation window and operates directly in the time domain instead. A commercial ECG product is used to proof the reliability of the presented signal processing routine to establish Six-Port microwave interferometers for instantaneous heart rate detection.},
    author = {Will, Christoph and Shi, Kilin and Lurz, Fabian and Weigel, Robert and Koelpin, Alexander},
    booktitle = {IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)},
    cris = {https://cris.fau.de/converis/publicweb/publication/124139884},
    year = {2015},
    month = {11},
    day = {09},
    doi = {10.1109/ISPACS.2015.7432820},
    eventdate = {2015-11-09/2015-11-12},
    faupublication = {yes},
    keywords = {Six-Port; Interferometers; Biomedical signal processing; Heartbeat monitoring},
    pages = {483--487},
    peerreviewed = {Yes},
    title = {Intelligent Signal Processing Routine for Instantaneous Heart Rate Detection using a Six-Port Microwave Interferometer},
    type = {Konferenzschrift},
    venue = {Nusa Dua, Bali, Indonesia},
    }

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