New Artificial Intelligence-Integrated Electromyography-Driven Robot Hand for Upper Extremity Rehabilitation of Patients With Stroke: A Randomized, Controlled Trial.

Journal: Neurorehabilitation and neural repair
Published Date:

Abstract

BACKGROUND: An artificial intelligence (AI)-integrated electromyography (EMG)-driven robot hand was devised for upper extremity (UE) rehabilitation. This robot detects patients' intentions to perform finger extension and flexion based on the EMG activities of 3 forearm muscles.

Authors

  • Yuhei Murakami
    Department of Rehabilitation Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Kaoru Honaga
    Department of Rehabilitation Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Hidemi Kono
    Department of Rehabilitation Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Koshiro Haruyama
    Department of Rehabilitation Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Tomofumi Yamaguchi
    Department of Physical Therapy, Juntendo University Faculty of Health Science, Tokyo, Japan.
  • Mami Tani
    Department of Rehabilitation Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Reina Isayama
    Department of Rehabilitation Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Tomokazu Takakura
    Department of Rehabilitation Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Akira Tanuma
    Department of Rehabilitation Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Kozo Hatori
    Department of Rehabilitation Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Futoshi Wada
    University of Occupational and Environmental Health, Fukuoka, Japan.
  • Toshiyuki Fujiwara
    Department of Rehabilitation Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.