Journal of Healthcare Engineering

Human-Centered Systems in Rehabilitation Engineering


Publishing date
01 Feb 2020
Status
Closed
Submission deadline
27 Sep 2019

Lead Editor

1Tokyo Polytechnic University, Kanagawa, Japan

2Tokyo Institute of Technology, Yokohama, Japan

3Tianjin University of Technology, Tianjin, China

4Handong Global University, Pohang, Republic of Korea

This issue is now closed for submissions.
More articles will be published in the near future.

Human-Centered Systems in Rehabilitation Engineering

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Human-centered systems (HCS) have significantly influenced the development of rehabilitation engineering technologies over the past decade. Since the motor skills of the elderly and the disabled with neuromuscular disorders gradually deteriorate with time, HCS are expected to revolutionize the assistive technologies that enable the restoration of motor control in such individuals. Examples of these technologies include power assist devices, prosthetic limbs, and home and hospital support robots.

The core technology in HCS for rehabilitative engineering purposes requires a convergence between biological signal processing and robotics. Therefore, pattern recognition and machine learning (PRML) are particularly important in the study and design of these HCS. For example, computational methods can anticipate motor commands and intentions from biological sensors before movements actually occur, making them essential in both power assist and support robotic systems. This calls for practical HCS based on new PRML techniques. These include advances in the computational decoding and encoding method of neural signals involving muscle synergy, brain-machine/computer interfaces (BMI/BCI), and wearable systems using new artificial sensors.

This special issue therefore invites original research articles and review articles that showcase advances in HCS in rehabilitation engineering.

Potential topics include but are not limited to the following:

  • Assistive technologies for the disabled and the elderly in relation to rehabilitation engineering
  • Advanced robotic systems for home and hospital support during rehabilitation
  • BMI/BCI using PRML for rehabilitative purposes
  • Wearable systems for rehabilitative purposes
  • Artificial sensors and bioinspired robots for use in rehabilitation engineering

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 1823268
  • - Research Article

Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson’s Patients

Satyabrata Aich | Pyari Mohan Pradhan | ... | Jinse Park
  • Special Issue
  • - Volume 2020
  • - Article ID 1078251
  • - Research Article

An Optimization Study of Estimating Blood Pressure Models Based on Pulse Arrival Time for Continuous Monitoring

Jiang Shao | Ping Shi | ... | Hongliu Yu
  • Special Issue
  • - Volume 2020
  • - Article ID 1418437
  • - Research Article

Investigation of Delayed Response during Real-Time Cursor Control Using Electroencephalography

Hyeonseok Kim | Natsue Yoshimura | Yasuharu Koike
  • Special Issue
  • - Volume 2020
  • - Article ID 1506250
  • - Research Article

Tip-Over Stability Analysis of a Pelvic Support Walking Robot

Yawei Han | Shuai Guo | ... | Weiwei Lu
  • Special Issue
  • - Volume 2020
  • - Article ID 5451219
  • - Research Article

Muscle Synergy and Musculoskeletal Model-Based Continuous Multi-Dimensional Estimation of Wrist and Hand Motions

Yeongdae Kim | Sorawit Stapornchaisit | ... | Yasuharu Koike
  • Special Issue
  • - Volume 2020
  • - Article ID 8714070
  • - Research Article

A Phlegm Stagnation Monitoring Based on VDS Algorithm

Zhiguo Gao | Xin Yu
  • Special Issue
  • - Volume 2020
  • - Article ID 6968713
  • - Research Article

EEG-Controlled Wall-Crawling Cleaning Robot Using SSVEP-Based Brain-Computer Interface

Lei Shao | Longyu Zhang | ... | Hongli Liu
  • Special Issue
  • - Volume 2019
  • - Article ID 1672940
  • - Research Article

Design and Quantitative Analysis of Cancer Detection System Based on Fluorescence Immune Analysis

Lei Shao | Longyu Zhang | ... | Pengyuan Zhang
  • Special Issue
  • - Volume 2019
  • - Article ID 5397814
  • - Research Article

A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable Devices

Sabyasachi Chakraborty | Satyabrata Aich | ... | Hee-Cheol Kim
Journal of Healthcare Engineering
 Journal metrics
Acceptance rate37%
Submission to final decision99 days
Acceptance to publication48 days
CiteScore2.600
Impact Factor1.803
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