Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection.
gait phase
inkjet printing
insole sensors
machine learning
surface processing
visual-based reference
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
27 Nov 2019
27 Nov 2019
Historique:
received:
18
10
2019
revised:
19
11
2019
accepted:
21
11
2019
entrez:
1
12
2019
pubmed:
1
12
2019
medline:
1
12
2019
Statut:
epublish
Résumé
Gait analysis is an important assessment tool for analyzing vital signals collected from individuals and for providing physical information of the human body, and it is emerging in a diverse range of application scenarios, such as disease diagnosis, fall prevention, rehabilitation, and human-robot interaction. Herein, a kind of surface processed conductive rubber was designed and investigated to develop a pressure-sensitive insole to monitor planar pressure in a real-time manner. Due to a novel surface processing method, the pressure sensor was characterized by stable contact resistance, simple manufacturing, and high mechanical durability. In the experiments, it was demonstrated that the developed pressure sensors were easily assembled with the inkjet-printed electrodes and a flexible substrate as a pressure-sensitive insole while maintaining good sensing performance. Moreover, resistive signals were wirelessly transmitted to computers in real time. By analyzing sampled resistive data combined with the gait information monitored by a visual-based reference system based on machine learning method (k-Nearest Neighbor algorithm), the corresponding relationship between plantar pressure distribution and lower limb joint angles was obtained. Finally, the experimental validation of the ability to accurately divide gait into several phases was conducted, illustrating the potential application of the developed device in healthcare and robotics.
Identifiants
pubmed: 31783618
pii: s19235197
doi: 10.3390/s19235197
pmc: PMC6928953
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : The National Natural Science Foundation of China
ID : 51975513
Organisme : The Major Research Plan of National Natural Science Foundation of China
ID : 51890884
Organisme : The Science Fund for Creative Research Groups of the National Natural Science Foundation of China
ID : 51821093
Organisme : The China's Thousand Talents Plan Young Professionals Program, Robotics Institute of Zhejiang University
ID : K18-508116-008-03
Organisme : The Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems GZKF-201703
ID : GZKF-201703
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