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Related Experiment Video

Updated: Oct 24, 2025

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

A mechatronics data collection, image processing, and deep learning platform for clinical posture analysis: a

Zahra Salahzadeh¹, Peyman Rezaei-Hachesu², Yousef Gheibi³

¹Physiotherapy Department, Faculty of Rehabilitation, Tabriz University of Medical Science, 29 Bahman St, Tabriz, Iran.

Physical and Engineering Sciences in Medicine

|August 16, 2021

Summary

This study introduces a mechatronics platform for semi-automatic posture analysis, improving physiotherapy efficiency. The developed device offers reliable measurements for static and dynamic posture assessment.

Keywords:

Decision support system Image processing Posture Telerehabilitation

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Last Updated: Oct 24, 2025

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

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Published on: August 30, 2016

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Published on: December 15, 2023

An Instrumented Pull Test to Characterize Postural Responses

An Instrumented Pull Test to Characterize Postural Responses

Published on: April 6, 2019

Area of Science:

Biomedical Engineering
Physiotherapy and Rehabilitation Technology

Background:

Static and dynamic posture analysis is crucial in physiotherapy but is time-consuming.
Semi-automatic methods can streamline this process, enhance record-keeping, and support deep learning applications.

Purpose of the Study:

To develop and validate a mechatronics platform for semi-automatic static and real-time dynamic posture analysis.
To create a system that facilitates clinical examination and provides infrastructure for advanced analysis.

Main Methods:

A hybrid mechatronics platform integrating mechanical (patient place, sensors, actuators) and software modules (data collection, analysis, reporting).
Development followed a system development lifecycle, including data transformation into Fourier format for privacy.
A network connection for data exchange with a deep learning server and a telerehabilitation application were included.

Main Results:

The mechatronics platform demonstrated acceptable reliability and validity for posture measurements.
A semi-automatic approach was successfully implemented, facilitating data collection and analysis.
A complementary telerehabilitation application was developed for post-diagnosis patient care.

Conclusions:

The designed mechatronics device, coupled with a smartphone application, is a valid and reliable tool for posture measurement.
Further research with longer data acquisition times could lead to fully automated dynamic posture analysis.