Titre :

A Review of Intelligent Garment System for Bioelectric Monitoring During Long-Lasting Intensive Sports

Auteur(s) :

Shen, Deyao [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Tao, Xuyuan [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Koncar, Vladan [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Wang, Jianping [Auteur]

Titre de la revue :

IEEE Access

Nom court de la revue :

IEEE Access

Numéro :

11

Pagination :

-

Date de publication :

2023-11-13

ISSN :

2169-3536

Mot(s)-clé(s) en anglais :

Bioelectric signal
intelligent garment systems
signal processing
long-lasting sports monitoring

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

Bioelectric signals are significant indicators of the state of health of the human body, especially in sports monitoring, where athletes’ fatigue state and performance need to be monitored in real-time to develop a proper ...
Lire la suite >Bioelectric signals are significant indicators of the state of health of the human body, especially in sports monitoring, where athletes’ fatigue state and performance need to be monitored in real-time to develop a proper training plan. Due to the characteristics of sports, it is difficult to obtain the dynamic bioelectrical signals of the human body during exercise. This paper provides a comprehensive overview of the current knowledge on Intelligent Garment Systems (IGS) for long-lasting bioelectric monitoring in sports. This review includes a detailed examination of human bioelectric signals, focusing on ECG, EMG, and GSR signals and their applications in intelligent wearable technologies. The definition and development history of IGS is also discussed, along with a review of the primary research components of IGS, including dry textile electrodes, methods for connecting sensors to IGS, and processing methods for bioelectric signals. The paper concludes by highlighting the current challenges faced by IGS in terms of real-time dynamic monitoring and connection problems and outlining the future directions for this field, including the need for further advancements in bioelectric signal processing and analysis, the development of new materials and connection technologies, and the integration of artificial intelligence and machine learning into IGS.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

• Génie des matériaux textiles (GEMTEX) - ULR 2641

Date de dépôt :

2024-03-27T22:03:18Z
2024-10-12T14:05:18Z