Ann Rehabil Med.  2020 Feb;44(1):48-57. 10.5535/arm.2020.44.1.48.

Determining the Most Appropriate Assistive Walking Device Using the Inertial Measurement Unit-Based Gait Analysis System in Disabled Patients

Affiliations
  • 1Department of Rehabilitation Medicine, Ewha Womans University Mokdong Hospital, Seoul, Korea
  • 2Department of Rehabilitation Medicine, Ewha Womans University Seoul Hospital, Seoul, Korea
  • 3Department of Rehabilitation Medicine, Ewha Womans University College of Medicine, Seoul, Korea

Abstract


Objective
To evaluate the gait pattern of patients with gait disturbances without consideration of defilades due to assistive devices. This study focuses on gait analysis using the inertial measurement unit (IMU) system, which can also be used to determine the most appropriate assistive device for patients with gait disturbances.
Methods
Records of 18 disabled patients who visited the Department of Rehabilitation from May 2018 to June 2018 were selected. Patients’ gait patterns were analyzed using the IMU system with different assistive devices to determine the most appropriate device depending on the patient’s condition. Evaluation was performed using two or more devices, and the appropriate device was selected by comparing the 14 parameters of gait evaluation. The device showing measurements nearer or the nearest to the normative value was selected for rehabilitation.
Results
The result of the gait evaluation in all 18 patients was analyzed using the IMU system. According to the records, the patients were evaluated using various assistive devices without consideration of defilades. Moreover, this gait analysis was effective in determining the most appropriate device for each patient. Increased gait cycle time and swing phase and decreased stance phase were observed in devices requiring significant assistance.
Conclusion
The IMU-based gait analysis system is beneficial in evaluating gait in clinical fields. Specifically, it is useful in evaluating patients with gait disturbances who require assistive devices. Furthermore, it allows the establishment of an evidence-based decision for the most appropriate assistive walking devices for patients with gait disturbances.

Keyword

Gait analysis; Assistive device; Rehabilitation; Wearable electronic device; Inertial measurement unit

Figure

  • Fig. 1. (A) Gait analysis with inertial measurement unit technology, Human Track (RBioteck Co. Ltd., Seoul, Korea). (B) The IMU sensors are attached to patient’s abdomen, bilateral thighs, shanks, and dorsum of both feet.

  • Fig. 2. Example of gait analysis report: gait parameters.

  • Fig. 3. Example of gait analysis report: (top) angle of hip, (middle) knee, and (bottom) ankle joint (sagittal, coronal, transverse).

  • Fig. 4. Flowchart of decision-making of proper assistive device with comparing result of gait evaluation with two or more devices.


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