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Adaptive physical exercise rehabilitation system with data collection and real-time remote monitoring

Grant number: 22/12378-7
Support Opportunities:Research Grants - Innovative Research in Small Business - PIPE
Duration: December 01, 2022 - August 31, 2024
Field of knowledge:Engineering - Biomedical Engineering
Principal Investigator:Fabio Pomes Salles da Silva
Grantee:Fabio Pomes Salles da Silva
Host Company:Cyberphysics Company Tecnologia em Atividade Física Ltda. - Me
CNAE: Consultoria em tecnologia da informação
Outras atividades de prestação de serviços de informação não especificadas anteriormente
Atividades de serviços de complementação diagnóstica e terapêutica
City: São Paulo
Pesquisadores principais:
Andre Sernaglia Cerdeira ; Antonio Carlos Dantas Cabral
Associated researchers:Ari Nelson Rodrigues Costa
Associated research grant:20/13896-6 - Adaptive rehabilitation system for physical exercise assisted by remote monitoring, AP.PIPE
Associated scholarship(s):23/00163-9 - Adaptive physical exercise rehabilitation system with data collection and real-time remote monitoring., BP.TT
22/15841-0 - Adaptive physical exercise rehabilitation system with data collection and real-time remote monitoring., BP.TT
22/16102-6 - Adaptive physical exercise rehabilitation system with data collection and real-time remote monitoring, BP.PIPE

Abstract

This proposal has the merit of being based on the proof of concept validated in a project of the PIPE Phase 1 program, aiming at the development of a portable, connected, intelligent product, remotely monitored in real time and with dynamic load control, intended for the practice of physical exercises for rehabilitation in motor and neurological health treatments.There are about 32,000 people on the waiting list for physiotherapy treatments at the SUS in the Capital of São Paulo (SMS, 2020). The time for this service can reach up to 1 year due to the lack of availability of vacancies and adequate resources.In more than 100 interviews with health professionals carried out during PIPE Phase 1, the following pains were highlighted: poor patient engagement due to difficult access through queues and travel costs to rehabilitation units; the difficulty in monitoring treatments remotely and the lack of data to evaluate the performance of patients. In Brazil, about 70% of cases are referred to a hospital, compared to 40% in the US, where the majority, especially the less serious ones, are treated both in clinics and remotely (Schahin, 2019).The objective is to develop an intelligent product connected to a cloud platform composing a cyber-physical system, introducing a set of technologies from the Fourth Industrial Revolution in the Physical Activity segment, improving the quality of treatments and increasing access to care.Good project management practices recommended in the PMBOK - Project Management Body of Knowledge - (PMI, 2021) will be adopted for planning, execution, monitoring and evaluation of project performance, in addition to the physical goals established based on product requirements, and in the technological maturity levels (Technological Readiness Level - TRL) defined in the ABNT NBR ISO 16290:2015 Standard.The clinical trial method - single-blind, randomized with parallel arms will be adopted in a parallel line of research in physiology "on the effects and gains in muscle strength in healthy subjects". The experimental group will use theequipment proposed, and the control will use traditional equipment. The study will take place at the Institute of Physical Medicine and Rehabilitation (IMREA HC-FMUSP), with computerized isokinetic evaluation in equipment provided by the institution itself. This proposal has already been approved by the Research Ethics Committee (CEP) of the Hospital das Clínicas, Faculty of Medicine, University of São Paulo (HC-FMUSP) and is awaiting completion.As a result, it is expected the development of a prototype of a treatment system (devices plus platform), intended for the rehabilitation area, with tests in an operational environment (TRL 7), for the manufacture of a connected product, with embedded sensors, IoT (internet of things), collaborative robotics motorization and artificial intelligence, to enable more access and better results in treatments, through remote monitoring, dynamic load control and data collection.The company will establish itself in the market as a provider of technological solutions for health, generating new revenues and consequently more jobs, impacting the market by increasing and improving the quality of care offered to the population, in addition to promoting digital transformation for a sector whose evolution is limited. using conventional technology. (AU)

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