Latsch, Bastian ; Dali, Omar Ben ; Hench, Benedikt ; Chadda, Romol ; Sellami, Youssef ; Altmann, Alexander A. ; Schäfer, Niklas ; Seiler, Julian ; Kupnik, Mario (2024)
Hybrid Sensor Insole for Wearable Ballistocardiography in Remote Health Monitoring.
h IEEE International Conference on Flexible and Printable Sensors and Systems (IEEE FLEPS 2024). Tampere, Finland (30.06.2024 - 03.07.2024)
doi: 10.1109/FLEPS61194.2024.10603814
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Remote health monitoring improves the quality of life by enabling an early condition detection. The human heartbeat qualifies as physiological measure for body vitality and can be acquired through unobtrusive ballistocardiography (BCG). Current wearable BCG devices lack customizability and posture detection of the wearer. In this work, we present a hybrid insole concept with piezoelectric ferroelectrets and piezoresistive Velostat sensors to complement their properties. The Velostat sensor is evaluated in a universal testing machine with an applied load up to 50 N, resulting in a sensitivity of 200 Ohm/N and 80% resistance change. It reliably activates the BCG once the insole wearer maintains a stable posture. The experiment involves three participants in upright posture on the smart insole, at resting pulse and after physical activity. We apply a continuous wavelet transform to the ferroelectret sensor data to enhance feature detection. The heart rate is extracted from the peak distance and, for resting pulse, aligns with the reference heartbeat acquired from a chest strap. Thus, our hybrid insole system proves suitable as a wearable heart rate detector for health monitoring.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2024 |
Autor(en): | Latsch, Bastian ; Dali, Omar Ben ; Hench, Benedikt ; Chadda, Romol ; Sellami, Youssef ; Altmann, Alexander A. ; Schäfer, Niklas ; Seiler, Julian ; Kupnik, Mario |
Art des Eintrags: | Bibliographie |
Titel: | Hybrid Sensor Insole for Wearable Ballistocardiography in Remote Health Monitoring |
Sprache: | Englisch |
Publikationsjahr: | 25 Juli 2024 |
Verlag: | IEEE |
Buchtitel: | 2024 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) |
Veranstaltungstitel: | h IEEE International Conference on Flexible and Printable Sensors and Systems (IEEE FLEPS 2024) |
Veranstaltungsort: | Tampere, Finland |
Veranstaltungsdatum: | 30.06.2024 - 03.07.2024 |
DOI: | 10.1109/FLEPS61194.2024.10603814 |
Kurzbeschreibung (Abstract): | Remote health monitoring improves the quality of life by enabling an early condition detection. The human heartbeat qualifies as physiological measure for body vitality and can be acquired through unobtrusive ballistocardiography (BCG). Current wearable BCG devices lack customizability and posture detection of the wearer. In this work, we present a hybrid insole concept with piezoelectric ferroelectrets and piezoresistive Velostat sensors to complement their properties. The Velostat sensor is evaluated in a universal testing machine with an applied load up to 50 N, resulting in a sensitivity of 200 Ohm/N and 80% resistance change. It reliably activates the BCG once the insole wearer maintains a stable posture. The experiment involves three participants in upright posture on the smart insole, at resting pulse and after physical activity. We apply a continuous wavelet transform to the ferroelectret sensor data to enhance feature detection. The heart rate is extracted from the peak distance and, for resting pulse, aligns with the reference heartbeat acquired from a chest strap. Thus, our hybrid insole system proves suitable as a wearable heart rate detector for health monitoring. |
Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Mess- und Sensortechnik DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 2761 LokoAssist – Nahtlose Integration von Assistenzsystemen für die natürliche Lokomotion des Menschen |
Hinterlegungsdatum: | 08 Nov 2024 10:34 |
Letzte Änderung: | 02 Dez 2024 13:33 |
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