{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T08:04:18Z","timestamp":1762761858523,"version":"build-2065373602"},"reference-count":146,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,1,8]],"date-time":"2022-01-08T00:00:00Z","timestamp":1641600000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper aims to provide a review of the electrically assisted bicycles (also known as e-bikes) used for recovery of the rider\u2019s physical and physiological information, monitoring of their health state, and adjusting the \u201cmedical\u201d assistance accordingly. E-bikes have proven to be an excellent way to do physical activity while commuting, thus improving the user\u2019s health and reducing air pollutant emissions. Such devices can also be seen as the first step to help unhealthy sedentary people to start exercising with reduced strain. Based on this analysis, the need to have e-bikes with artificial intelligence (AI) systems that recover and processe a large amount of data is discussed in depth. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used to complete the relevant papers\u2019 search and selection in this systematic review.<\/jats:p>","DOI":"10.3390\/s22020468","type":"journal-article","created":{"date-parts":[[2022,1,9]],"date-time":"2022-01-09T23:08:26Z","timestamp":1641769706000},"page":"468","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5900-3973","authenticated-orcid":false,"given":"Eli Gabriel","family":"Avina-Bravo","sequence":"first","affiliation":[{"name":"Laboratory for Analysis and Architecture of Systems (LAAS), University of Toulouse, F-31077 Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6116-5795","authenticated-orcid":false,"given":"Johan","family":"Cassirame","sequence":"additional","affiliation":[{"name":"EA4660, Culture, Sport, Health and Society Department and Exercise Performance, University of Bourgogne-France Comt\u00e9, 25000 Besan\u00e7on, France"},{"name":"EA7507, Laboratoire Performance Sant\u00e9 M\u00e9trologie Soci\u00e9t\u00e9, 51100 Reims, France"},{"name":"Soci\u00e9t\u00e9 Mtraining, R&D Division, 25480 Ecole Valentin, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8054-714X","authenticated-orcid":false,"given":"Christophe","family":"Escriba","sequence":"additional","affiliation":[{"name":"Laboratory for Analysis and Architecture of Systems (LAAS), University of Toulouse, F-31077 Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6563-0842","authenticated-orcid":false,"given":"Pascal","family":"Acco","sequence":"additional","affiliation":[{"name":"Laboratory for Analysis and Architecture of Systems (LAAS), University of Toulouse, F-31077 Toulouse, France"}]},{"given":"Jean-Yves","family":"Fourniols","sequence":"additional","affiliation":[{"name":"Laboratory for Analysis and Architecture of Systems (LAAS), University of Toulouse, F-31077 Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3823-1635","authenticated-orcid":false,"given":"Georges","family":"Soto-Romero","sequence":"additional","affiliation":[{"name":"Laboratory for Analysis and Architecture of Systems (LAAS), University of Toulouse, F-31077 Toulouse, France"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,8]]},"reference":[{"key":"ref_1","unstructured":"Glusac, E. 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