Definition of Motion and Biophysical Indicators for Home-Based Rehabilitation through Serious Games

Abstract

In this paper, we describe Remote Monitoring Validation Engineering System (ReMoVES), a newly-developed platform for motion rehabilitation through serious games and biophysical sensors. The main features of the system are highlighted as follows: motion tracking capabilities through Microsoft Kinect V2 and Leap Motion are disclosed and compared with other solutions; the emotional state of the patient is evaluated with heart rate measurements and electrodermal activity monitored by Microsoft Band 2 during the execution of the functional exercises planned by the therapist. The ReMoVES platform is conceived for home-based rehabilitation after the hospitalisation period, and the system will deploy machine learning techniques to provide an automated evaluation of the patient performance during the training. The algorithms should deliver effective reports to the therapist about the training performance while the patient exercises on their own. The game features that will be described in this manuscript represent the input for the training set, while the feedback provided by the therapist is the output. To face this supervised learning problem, we are describing the most significant features to be used as key indicators of the patient's performance along with the evaluation of their accuracy in discriminating between good or bad patient actions.

Evaluation of a Rehabilitation System for the Elderly in a Day Care Center

“…These new devices in the context of augmented reality suggest that these tools can be used to prevent falls in the elderly population thanks to the regular monitoring of fall risk [10][11][12][13]. Physical exercise protocols carried out by using video games combining exercise, known as exergames [14,15], generate a lot of interest in the field of fall prevention especially when it is based on low-cost devices such as Nintendo Wii, Microsoft Kinect, or Asus Xtion. The prevention of fall, carried out by using exergames at home, has several advantages over the conventional protocols.…”

Application of Kinect Technology and Artificial Neural Networks in the Control of Rehabilitation Therapies in People with Knee Injuries

“…Another work presented by Morando et al [11] makes use of various technologies such as Kinect, Leap Motion, Band 2. The work presents a whole system that helps the patient to perform his rehabilitation exercises based on serious games.…”

A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance

“…Moreover, information digitization is increasingly important in the healthcare area, where it is possible to map different working activities by diagrams having different functions and roles such as health-related behavior prevention, diagnosis, and therapy [4]. In DSS healthcare, data mining could provide an added value for the enrichment of the knowledge base of the healthcare system, diagnosis support, home-based rehabilitation, optimal management of healthcare processes, optimization of the quality of services, correct allocation of material and non-material resources, turnover prediction, and definition of new performance indicators based on artificial intelligence algorithms [5][6][7][8][9][10][11][12][13]. In healthcare systems, an interesting topic is homecare assistance by telemedicine [14][15][16], allowing home assistance through the use of appropriate certified devices connected to the cloud and able to transmit patient measurements from home to an external structure behaving as a control room.…”