Mobilizing Health Monitoring: The Development and Integration of a Health-eScooter System

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dc.contributor.authorWarnecke, Joana
dc.contributor.authorBollmann, Julian
dc.contributor.authorRyll, Lukas
dc.contributor.authorSingh, Himanshu
dc.contributor.authorDeserno, Thomas
dc.date.accessioned2024-12-26T21:07:13Z
dc.date.available2024-12-26T21:07:13Z
dc.date.issued2025-01-07
dc.description.abstractIn preventive medicine, continuous health monitoring through technology is essential. This paper presents an innovative approach using an eScooter equipped with sensors for electrocardiography and photoplethysmography to monitor vital signs during commutes. Integrating rental identity management with biomedical analytics, we ensure secure and private health data collection from shared eScooters. Our study involved 20 participants and demonstrated the feasibility of acquiring health data using a convolutional neural network (CNN) combined with a long short-term memory (LSTM) model-based algorithm and a user interface. The results show that around 65 percent of the driving time is utilizable for medical analysis. Additionally, we develop a user-friendly interface for the iOS app. The Health-eScooter exemplifies how everyday transport can serve as an effective tool for health monitoring, offering convenience and mobility, thereby paving the way for mobile and everyday health technology.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.411
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.otherccc59f72-ba76-4377-a67b-ec9ba35028bc
dc.identifier.urihttps://hdl.handle.net/10125/109254
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectHealthcare in Motion: Innovations in Mobility-integrated Health Systems
dc.subjectartificial intelligence, escooter, mobile health monitoring, shared mobility, signal fusion
dc.titleMobilizing Health Monitoring: The Development and Integration of a Health-eScooter System
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage3407

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