Estimation of center of pressure information by smartphone sensors for postural control training

Postural control training based on physical information is a common rehabilitation training method for patients with movement disorder. This research aims to verify the feasibility of using one smartphone embedded sensors to estimate CoP (Center of Pressure) displacement to take postural control training. We tested the reliability of smartphone sensor by motion capture system based on the following two CoP calculation models: (1) one-link inverted pendulum model; (2) two-link inverted pendulum model. We compared the estimation results with real CoP values measured by force plate. Sway training experiment was conducted under two tasks conditions: feet apart and feet together. The results show that data obtained from smartphone sensors is capable of representing human body CoM (Center of Mass) information. These two models can roughly estimate CoP displacement; and the results suggested that the two-link model performed better than one-link model. The estimation error between smartphone and real value is 0.70 - 2.01 cm in feet apart task and 1.03 - 1.12 cm in feet together task with two-link model.Clinical Relevance- This study verified the performance of smartphone in estimating CoP displacement for postural control training.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:2023

Enthalten in:

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 2023(2023) vom: 11. Juli, Seite 1-4

Sprache:

Englisch

Beteiligte Personen:

Huang, Rui [VerfasserIn]
Kaminishi, Kohei [VerfasserIn]
Hasegawa, Tetsuya [VerfasserIn]
Yozu, Arito [VerfasserIn]
Chiba, Ryosuke [VerfasserIn]
Ota, Jun [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 16.12.2023

Date Revised 29.01.2024

published: Print

Citation Status MEDLINE

doi:

10.1109/EMBC40787.2023.10340771

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365736880