H01: Advanced Machine Learning and Bio-Signal Processing for Rehabilitation and Assistive System

Paper Submission for H01

SMC2018:H01 submission site (external site)

Abstracts

It is expected that during the following decade neurological movement disorders impose a significant load on healthcare systems. Although the incidence rate of such disorders is increasing, due to the aging of society, there is not a good balance between the available resources and the need to serve this population of patients, which typically experience long-lasting disabilities and require labor-intensive motor rehabilitation and assistive services for extended duration. The situation is even more difficult for patients in remote and rural areas, where access to sophisticated rehabilitation centers is limited. This provides motivation for development of intelligent mechatronics technologies that deliver adaptive, safe, effective and affordable means of in-hospital and in-home rehabilitation and assistive services. As a result, neuro-mechatronics rehabilitation and assistive technologies have attracted a great deal of interest during the past decade. This technology rehabilitation and assistive technologies have attracted a great deal of interest during the past decade. This technology (a) can provide means of intelligently tracking the progress of motor performance, (b) can provide neuro-rehabilitation exercises to help patients regain some of the lost sensorimotor functions, and (c) can assist patients during daily activities.

Development of advanced intelligent Bio-Signal Processing (B-SP) and Machine Learning (ML) solutions to enhance delivery of rehabilitation and assistive services is of paramount importance and is the focus of the proposed special session. In particular, the objective of this special session is to further advance B-SP and ML solutions for realtime and accurate analysis of the patient’s movement for computerized rehabilitation and assistive services. In this regards, this special session aims to collect new techniques, algorithms and technologies that augment the capabilities of mechatronic systems with intelligent signal processing and machine learning algorithms for the purpose of rehabilitation and assistance.

The topics of this special session include but are not limited to:

  • Bio-Signal Processing & Machine Learning for Rehabilitation and Assistive Systems,
  • Smart Wearable Health Technologies for Patients with Motor Disabilities,
  • Intelligent Neuro-Mechatronic Rehabilitation Systems,
  • Smart Assistive Technologies,
  • Machine Learning and Bio-Signal Processing for Tele-rehabilitation,
  • Multi-modal Sensing for Mobile Health,
  • Augmented In-home Rehabilitation Systems,
  • Bio-Signal Processing & Machine Learning for Cooperative Rehabilitation Therapy,
  • Wireless Wearable Sensor and Active Learning for Rehabilitation.

Session Chairs