The RPM3D project: 3D Kinematics for Remote Patient Monitoring

TL;DR

This paper investigates the use of 3D movement analysis via smartwatches, based on the Kinematic Theory, for remote patient monitoring, demonstrating promising results in stroke rehabilitation and potential for broader healthcare applications.

Contribution

It introduces a novel approach combining 3D kinematic analysis with wearable sensors for remote healthcare, validated in a clinical stroke rehabilitation setting.

Findings

Validated in a real stroke rehabilitation scenario

Demonstrated feasibility of remote 3D movement monitoring

Potential to reduce healthcare costs and improve efficiency

Abstract

This project explores the feasibility of remote patient monitoring based on the analysis of 3D movements captured with smartwatches. We base our analysis on the Kinematic Theory of Rapid Human Movement. We have validated our research in a real case scenario for stroke rehabilitation at the Guttmann Institute5 (neurorehabilitation hospital), showing promising results. Our work could have a great impact in remote healthcare applications, improving the medical efficiency and reducing the healthcare costs. Future steps include more clinical validation, developing multi-modal analysis architectures (analysing data from sensors, images, audio, etc.), and exploring the application of our technology to monitor other neurodegenerative diseases.