Smartphone app quickly analyses human motion to aid physical rehabilitation

Published on:

New York, Oct 20 (IANS) A team of US researchers has developed a smartphone app that can track and analyse a person’s ability to move from one place to another, known as locomotion, and other types of movements.

Researchers tested their app, called OpenCap, with 100 participants. Using two or more smartphones, the app recorded sufficient quality videos to allow for web-based, artificial intelligence analysis of muscle activations, joint loads and joint movements.

Data collection took less than 10 hours for the 100 participants, and computation of results took 31 hours, according to the study published in the journal PLOS Computational Biology.

The study was conducted by Scott L. Delp of Stanford University and colleagues.

Traditionally, locomotion analysis requires fixed lab space and more than $150,000 worth of equipment, including eight or more specialized cameras to capture three-dimensional images.

The captured data also takes several days to analyse by a trained expert.

Human motion analysis is used to evaluate patients with movement difficulties, to help clinicians plan surgery, and to assess the results of treatment procedures.

The research team funded by the National Institutes of Health believes that using the app costs about one per cent of conventional motion analysis techniques and works 25 times faster.

While current technology is too expensive for routine clinical use, according to the investigators, the app could potentially be used to help screen for disease risk, inform rehabilitation decisions, and track improvements in motion following treatment.

Disclaimer: Medical Science is an ever evolving field. We strive to keep this page updated. In case you notice any discrepancy in the content, please inform us at [email protected]. You can futher read our Correction Policy here. Never disregard professional medical advice or delay seeking medical treatment because of something you have read on or accessed through this website or it's social media channels. Read our Full Disclaimer Here for further information.

Except for the headline and photo, this story has not been edited by THIP Media staff and is published from a syndicated feed / newswire service.