Design and Validity of a Smart Healthcare and Control System for Electric Bikes
This paper presents the development of an electronic system that converts an electrically assisted bicycle into an intelligent health monitoring system, allowing people who are not athletic or who have a history of health issues to progressively start the physical activity by following a medical pro...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/8/4079 |
| _version_ | 1797603503446687744 |
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| author | Eli Gabriel Avina-Bravo Felipe Augusto Sodre Ferreira de Sousa Christophe Escriba Pascal Acco Franck Giraud Jean-Yves Fourniols Georges Soto-Romero |
| author_facet | Eli Gabriel Avina-Bravo Felipe Augusto Sodre Ferreira de Sousa Christophe Escriba Pascal Acco Franck Giraud Jean-Yves Fourniols Georges Soto-Romero |
| author_sort | Eli Gabriel Avina-Bravo |
| collection | DOAJ |
| description | This paper presents the development of an electronic system that converts an electrically assisted bicycle into an intelligent health monitoring system, allowing people who are not athletic or who have a history of health issues to progressively start the physical activity by following a medical protocol (e.g., max heart rate and power output, training time). The developed system aims to monitor the health state of the rider, analyze data in real-time, and provide electric assistance, thus diminishing muscular exertion. Furthermore, such a system can recover the same physiological data used in medical centers and program it into the e-bike to track the patient’s health. System validation is conducted by replicating a standard medical protocol used in physiotherapy centers and hospitals, typically conducted in indoor conditions. However, the presented work differentiates itself by implementing this protocol in outdoor environments, which is impossible with the equipment used in medical centers. The experimental results show that the developed electronic prototypes and the algorithm effectively monitored the subject’s physiological condition. Moreover, when necessary, the system can change the training load and help the subject remain in their prescribed cardiac zone. This system allows whoever needs to follow a rehabilitation program to do so not only in their physician’s office, but whenever they want, including while commuting. |
| first_indexed | 2024-03-11T04:33:03Z |
| format | Article |
| id | doaj.art-745cc195e23946d38dfdf1b31c31402f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:33:03Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-745cc195e23946d38dfdf1b31c31402f2023-11-17T21:18:44ZengMDPI AGSensors1424-82202023-04-01238407910.3390/s23084079Design and Validity of a Smart Healthcare and Control System for Electric BikesEli Gabriel Avina-Bravo0Felipe Augusto Sodre Ferreira de Sousa1Christophe Escriba2Pascal Acco3Franck Giraud4Jean-Yves Fourniols5Georges Soto-Romero6Laboratory for Analysis and Architecture of Systems (LAAS-CNRS), University of Toulouse, 31077 Toulouse, FranceLaboratory for Analysis and Architecture of Systems (LAAS-CNRS), University of Toulouse, 31077 Toulouse, FranceLaboratory for Analysis and Architecture of Systems (LAAS-CNRS), University of Toulouse, 31077 Toulouse, FranceLaboratory for Analysis and Architecture of Systems (LAAS-CNRS), University of Toulouse, 31077 Toulouse, FranceTNP Consulting, 92200 Neuilly sur-Seine, FranceLaboratory for Analysis and Architecture of Systems (LAAS-CNRS), University of Toulouse, 31077 Toulouse, FranceLaboratory for Analysis and Architecture of Systems (LAAS-CNRS), University of Toulouse, 31077 Toulouse, FranceThis paper presents the development of an electronic system that converts an electrically assisted bicycle into an intelligent health monitoring system, allowing people who are not athletic or who have a history of health issues to progressively start the physical activity by following a medical protocol (e.g., max heart rate and power output, training time). The developed system aims to monitor the health state of the rider, analyze data in real-time, and provide electric assistance, thus diminishing muscular exertion. Furthermore, such a system can recover the same physiological data used in medical centers and program it into the e-bike to track the patient’s health. System validation is conducted by replicating a standard medical protocol used in physiotherapy centers and hospitals, typically conducted in indoor conditions. However, the presented work differentiates itself by implementing this protocol in outdoor environments, which is impossible with the equipment used in medical centers. The experimental results show that the developed electronic prototypes and the algorithm effectively monitored the subject’s physiological condition. Moreover, when necessary, the system can change the training load and help the subject remain in their prescribed cardiac zone. This system allows whoever needs to follow a rehabilitation program to do so not only in their physician’s office, but whenever they want, including while commuting.https://www.mdpi.com/1424-8220/23/8/4079e-bikehealthsportsmonitoring systemssensorsembedded system |
| spellingShingle | Eli Gabriel Avina-Bravo Felipe Augusto Sodre Ferreira de Sousa Christophe Escriba Pascal Acco Franck Giraud Jean-Yves Fourniols Georges Soto-Romero Design and Validity of a Smart Healthcare and Control System for Electric Bikes Sensors e-bike health sports monitoring systems sensors embedded system |
| title | Design and Validity of a Smart Healthcare and Control System for Electric Bikes |
| title_full | Design and Validity of a Smart Healthcare and Control System for Electric Bikes |
| title_fullStr | Design and Validity of a Smart Healthcare and Control System for Electric Bikes |
| title_full_unstemmed | Design and Validity of a Smart Healthcare and Control System for Electric Bikes |
| title_short | Design and Validity of a Smart Healthcare and Control System for Electric Bikes |
| title_sort | design and validity of a smart healthcare and control system for electric bikes |
| topic | e-bike health sports monitoring systems sensors embedded system |
| url | https://www.mdpi.com/1424-8220/23/8/4079 |
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