Patent Review of Lower Limb Rehabilitation Robotic Systems by Sensors and Actuation Systems Used

Sensors (Basel). 2023 Jul 7;23(13):6237. doi: 10.3390/s23136237.

Abstract

Robotic systems for lower limb rehabilitation are essential for improving patients' physical conditions in lower limb rehabilitation and assisting patients with various locomotor dysfunctions. These robotic systems mainly integrate sensors, actuation, and control systems and combine features from bionics, robotics, control, medicine, and other interdisciplinary fields. Several lower limb robotic systems have been proposed in the patent literature; some are commercially available. This review is an in-depth study of the patents related to robotic rehabilitation systems for lower limbs from the point of view of the sensors and actuation systems used. The patents awarded and published between 2013 and 2023 were investigated, and the temporal distribution of these patents is presented. Our results were obtained by examining the analyzed information from the three public patent databases. The patents were selected so that there were no duplicates after several filters were used in this review. For each patent database, the patents were analyzed according to the category of sensors and the number of sensors used. Additionally, for the main categories of sensors, an analysis was conducted depending on the type of sensors used. Afterwards, the actuation solutions for robotic rehabilitation systems for upper limbs described in the patents were analyzed, highlighting the main trends in their use. The results are presented with a schematic approach so that any user can easily find patents that use a specific type of sensor or a particular type of actuation system, and the sensors or actuation systems recommended to be used in some instances are highlighted.

Keywords: actuator; lower limb; patent; rehabilitation; robot; sensor.

Publication types

  • Review

MeSH terms

  • Exercise Therapy* / instrumentation
  • Exercise Therapy* / methods
  • Humans
  • Locomotion
  • Lower Extremity
  • Robotics* / methods
  • Upper Extremity