Details
| Original language | English |
|---|---|
| Pages | 3485-3494 |
| Number of pages | 10 |
| Publication status | Published - 3 Jan 2024 |
Abstract
With the growing significance of preventive medicine, the healthcare field is developing innovative technologies to support continuous health monitoring and personalized healthcare. Therefore, we equip an eScooter with sensors for electrocardiography, photoplethysmography, and a camera for indirectly monitoring vital signs. Personal eScooters and those shared can be used for health monitoring. Combining rental identity management with biomedical data analytics allows a secure and privacy-protecting collection of personal health information from multiple rental devices. We demonstrate recordings during a ride and discuss privacy protection, cyber security, and artificial intelligence challenges. Our Health-eScooter enables individual health monitoring conveniently, unobtrusively, and mobile.
Keywords
- Artificial Intelligence, Cyber Security, Health Monitoring, Shared Mobility, eScooter
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
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2024. 3485-3494.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Continuous Health Monitoring on Shared Mobility Devices
T2 - A Health-eScooter Prototype
AU - Warnecke, Joana M.
AU - Baumgartner, Christian
AU - Breitner, Michael H.
AU - Briechle, Dominique F.
AU - Deserno, Thomas M.
AU - Heumann, Maximilian
AU - Johns, Martin
AU - Picker, Alexander
AU - Rausch, Andreas
AU - Wolf, Lars C.
N1 - Publisher Copyright: © 2024 IEEE Computer Society. All rights reserved.
PY - 2024/1/3
Y1 - 2024/1/3
N2 - With the growing significance of preventive medicine, the healthcare field is developing innovative technologies to support continuous health monitoring and personalized healthcare. Therefore, we equip an eScooter with sensors for electrocardiography, photoplethysmography, and a camera for indirectly monitoring vital signs. Personal eScooters and those shared can be used for health monitoring. Combining rental identity management with biomedical data analytics allows a secure and privacy-protecting collection of personal health information from multiple rental devices. We demonstrate recordings during a ride and discuss privacy protection, cyber security, and artificial intelligence challenges. Our Health-eScooter enables individual health monitoring conveniently, unobtrusively, and mobile.
AB - With the growing significance of preventive medicine, the healthcare field is developing innovative technologies to support continuous health monitoring and personalized healthcare. Therefore, we equip an eScooter with sensors for electrocardiography, photoplethysmography, and a camera for indirectly monitoring vital signs. Personal eScooters and those shared can be used for health monitoring. Combining rental identity management with biomedical data analytics allows a secure and privacy-protecting collection of personal health information from multiple rental devices. We demonstrate recordings during a ride and discuss privacy protection, cyber security, and artificial intelligence challenges. Our Health-eScooter enables individual health monitoring conveniently, unobtrusively, and mobile.
KW - Artificial Intelligence
KW - Cyber Security
KW - Health Monitoring
KW - Shared Mobility
KW - eScooter
UR - http://www.scopus.com/inward/record.url?scp=85199784008&partnerID=8YFLogxK
M3 - Paper
SP - 3485
EP - 3494
ER -