Development of a New Intelligent Integrated System in Cardiopulmonary Rehabilitation

Project: A - Government Institutionb - Ministry of Science and Technology

Project Details

Description

Background:Contemporary cardiopulmonary rehabilitation programs often utilize cycling ergometry, involving one-on-one heart rate monitoring by physiotherapists to ensure that patients reach the target training intensity during training sessions. However, the process is frequently described as monotonous and boring, resulting in early fatigue of therapists and patients as well as poor compliance, leading to suboptimal training outcomes.Purpose:Develope an intelligent cardiopulmonary rehabilitative system to simplify trainig protocal, provide an interactive training environment, and establish a safe monitoring system.Methods:1. System construction: Develop an integrative system with the following elements through industry collaboration. (1) An automatic identification system importing patient data, exercise prescription, and relative information through QR codes. (2) Integration of interactive gaming, competitive gaming, and group courses into training programs. (3) Single-screen display of multiple synchronous EKG monitoring, allowing simultaneous real-time monitoring of multiple patients by a single therapist. 2. System Validation: Conduct a prospective cohort study, recruiting patients from the physical medicine and rehabilitation department of Wanfang hospital. The patients will receive training program under the traditional cardiopulmonary rehabilitative system in the first 6 months, followed by the newly developed system for another 6 months. The differences between the 2 systems regarding effectiveness, feasibility, and performance can then be determined through clinical evaluation and questionnaire. 3. Big data acquisition: Using the newly developed system, real-time data(such as heart rate, blood pressure, work, R-R interval variation, Excess post-exercise oxygen consumption, recovery time, rehabilitation duration, exercise prescription, etc.) can be obtained and algorithms for improvements developed through big data acquisition. Importance:This newly developed system can be broadly applied to cardiopulmonary training (including aerobic exercise training). It can be further utilized for health promotion in other demographics such as patients with stroke or frailty. If the model proves successful, it can then be used in domestic or foreign hospitals in need for new cardiopulmonary rehabilitative facilities.
StatusActive
Effective start/end date11/1/1910/31/20

Keywords

  • cardiac rehabilitation
  • pulmonary rehabilitation
  • aerobic exercise training
  • artificial intelligence
  • game-based training
  • virtual reality
  • cycling ergometry