Integrating movement analysis and cardiorespiratory assessment in smart electrically assisted bicycle sessions- Proof of concept -

Studies have shown that riding an electrically assisted bicycle is a suitable form of physical activity for rehabilitation. The rise of connected devices has enabled the development of new wearable technologies for health assessment during cycling sessions, such as plethysmography t-shirts for cardiorespiratory monitoring and inertial measurement units for movement analysis. This study aims to demonstrate the practical and technical feasibility of embedding measurements during outdoor cycling sessions. It also evaluates the validity of these measurements by comparing them to gold-standard methods in laboratory evaluations. Two protocols were conducted: one with six participants to assess feasibility across various outdoor session profiles, and another with 20 participants to compare measurements to gold-standard methods using indoor laboratory equipment. The results indicate that a smart electrically assisted bicycle is suitable for outdoor assessment of cardiorespiratory and movement analysis. Furthermore, the embedded equipment provides valid measurements in the laboratory when compared to gold-standard methods across a wide range of activity intensities.

Authors

Institutions

Publication Details

Journal
Medical Engineering & Physics
Published
2025-01-09
DOI
https://doi.org/10.1016/j.medengphy.2025.104426
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating movement analysis and cardiorespiratory assessment in smart electrically assisted bicycle sessions- Proof of concept -

Claire Eychenne, Vincent Nougier, Carole Rolland, Jean‐Luc Bosson et al.
Medical Engineering & Physics
Muscle activation and electromyography studies
article

Integrating movement analysis and cardiorespiratory assessment in smart electrically assisted bicycle sessions- Proof of concept -

Claire Eychenne, Vincent Nougier, Carole Rolland, Jean‐Luc Bosson, Pierre-Yves Guméry, Vianney Poiron, Sébastien Letout
article en

Abstract

Studies have shown that riding an electrically assisted bicycle is a suitable form of physical activity for rehabilitation. The rise of connected devices has enabled the development of new wearable technologies for health assessment during cycling sessions, such as plethysmography t-shirts for cardiorespiratory monitoring and inertial measurement units for movement analysis. This study aims to demonstrate the practical and technical feasibility of embedding measurements during outdoor cycling sessions. It also evaluates the validity of these measurements by comparing them to gold-standard methods in laboratory evaluations. Two protocols were conducted: one with six participants to assess feasibility across various outdoor session profiles, and another with 20 participants to compare measurements to gold-standard methods using indoor laboratory equipment. The results indicate that a smart electrically assisted bicycle is suitable for outdoor assessment of cardiorespiratory and movement analysis. Furthermore, the embedded equipment provides valid measurements in the laboratory when compared to gold-standard methods across a wide range of activity intensities.

Medical Engineering & PhysicsVol. 145(1)
Centre National de la Recherche Scientifique (FR), Techniques of Informatics and Microelectronics for Integrated Systems Architecture (FR), Translational Innovation in Medicine and Complexity (FR), Agir Pour les Maladies Chroniques (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 78%
Muscle activation and electromyography studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integrating movement analysis and cardiorespiratory assessment in smart electrically assisted bicycle sessions- Proof of concept - — Claire Eychenne, Vincent Nougier, et al. · Medical Engineering & Physics (2025) | TGRS Research Map | TGRS