John Smith
Applying camera-based motion analysis for digital MSK rehabilitation to transform virtual physical therapy
Source: https://www.abtosoftware.com/blog/computer-vision-benefits-for-msk-rehabilitation
AI-powered human pose detection or estimation is an advanced technique, which involves artificial intelligence to identify the position of human body parts (biceps, forearms, thighs, calves, and more) in images and videos.
AI-powered human pose detection enables computers to interpret visual information by using computer vision, in particular object detection, image segmentation, and other sophisticated techniques.
AI real-time motion analysis software facilitates:
CV camera-based movement analysis software benefits:
In the prior days, pose estimation was typically done manually. This required expensive cameras, special markers and sensors, and technically trained personnel to assist.
In addition, manual analysis was prone to errors, as the same movements could be interpreted differently.
Built-in cameras (smartphones, tablets) along with AI are now significantly revolutionizing human scanning — computer analysis eliminates limitations providing accuracy and consistency.
As part of a telerehabilitation platform, computer vision assessment can:
1. Release the physical therapist from routine tasks
The platform can digitize and visualize the execution of exercises — the movements are tracked and evaluated to provide practical guidelines and facilitate quick recovery, which improves patient outcomes and satisfaction.
2. Help detect early MSK problems
The platform can provide instant analysis to prevent and ensure timely treatment of common MSK problems.
For therapists, the benefits of using AI human pose detection is significant:
For patients, the capabilities of CV body pose estimation allow to:
Telehealth and telemedicine solutions are becoming more popular among physicians and patients, and the COVID-19 pandemic is one of the main drivers:
The global telehealth market size was valued at USD 83.5 billion in 2022 and is projected to expand at a compound annual growth rate (CAGR) of 24.0% from 2023 to 2030.
The Global Telerehabilitation Market Size is projected to reach USD 9.13 billion by 2027, exhibiting a CAGR of 13.4% during the forecast period
Motion recognition, powered by artificial intelligence, has emerged as a powerful tool with immense potential to revolutionize public health. Its applications span across epidemiology, disease prevention, emergency preparedness, and more.
By using data-driven insights, motion recognition can make healthy and happy communities achievable goals, transforming operations across industries, including healthcare, and other large domains.
Remote virtual rehabilitation aroused growing interest in the last decades, and its role has gained importance following the recent spread of COVID19 pandemic. The advantages of virtual reality (VR), augmented reality (AR), gamification, and telerehabilitation have been demonstrated in several medical fields.
The recent COVID-19 crisis, along with the rising healthcare costs, personnel shortage, and other factors, has revealed the potential of human-judgment independent health assessment and treatment. In times of health crisis, implementing computational technology, particularly telehealth solutions, has shown significant outcomes. As a result, traditional healthcare approaches are undergoing a transformation, and physical therapy and rehabilitation are also being affected by these changes.
