4.6 Article

Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke

Journal

SENSORS
Volume 21, Issue 22, Pages -

Publisher

MDPI
DOI: 10.3390/s21227685

Keywords

stroke; gait disorder; hip-knee cyclogram; gait analysis

Funding

  1. Healthcare AI Convergence Research & Development Program through the National IT Industry Promotion Agency of Korea (NIPA) - Ministry of Science and ICT [P0018445]
  2. Ministry of Trade, Industry and Energy (MOTIE)
  3. Korea Institute for Advancement of Technology (KIAT) through the International Cooperative RD program [P0018445]
  4. [S0316-21-103-C03]
  5. Korea Evaluation Institute of Industrial Technology (KEIT) [P0018445] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The study investigated gait characteristics in stroke patients using hip-knee cyclograms, revealing differences in cyclogram parameters between stroke patients and healthy controls, as well as variations based on stroke severity. Specific gait patterns of stroke patients were visualized through cyclograms, highlighting the clinical significance of the inter-joint coordination and visualized gait cycle shown in hip-knee cyclograms.
Gait disturbance is a common sequela of stroke. Conventional gait analysis has limitations in simultaneously assessing multiple joints. Therefore, we investigated the gait characteristics in stroke patients using hip-knee cyclograms, which have the advantage of simultaneously visualizing the gait kinematics of multiple joints. Stroke patients (n = 47) were categorized into two groups according to stroke severity, and healthy controls (n = 32) were recruited. An inertial measurement unit sensor-based gait analysis system, which requires placing seven sensors on the dorsum of both feet, the shafts of both tibias, the middle of both femurs, and the lower abdomen, was used for the gait analysis. Then, the hip-knee cyclogram parameters (range of motion, perimeter, and area) were obtained from the collected data. The coefficient of variance of the cyclogram parameters was obtained to evaluate gait variability. The cyclogram parameters differed between the stroke patients and healthy controls, and differences according to stroke severity were also observed. The gait variability parameters mainly differed in patients with more severe stroke, and specific visualized gait patterns of stroke patients were obtained through cyclograms. In conclusion, the hip-knee cyclograms, which show inter-joint coordination and visualized gait cycle in stroke patients, are clinically significant.

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