Szczegóły publikacji

Opis bibliograficzny

A cost effective, multi-sensor, portable system for analyzing gait dynamics of patients with neurological diseases - proof of concept study / Grzegorz Kołaszczyński, Ewa Klimiec, Mateusz Czyżycki, Elżbieta Klimiec-Moskal, Krzysztof Zaraska, Piotr WIŚNIOWSKI // Sensors and Actuators . A, Physical ; ISSN  0924-4247. — 2026 — vol. 399 art. no. 117426, s. 1–10. — Bibliogr. s. 9–10, Abstr. — Publikacja dostępna online od: 2025-12-23

Autorzy (6)

  • Kołaszczyński Grzegorz
  • Klimiec Ewa
  • Czyżycki Mateusz
  • Klimiec-Moskal Elżbieta
  • Zaraska Krzysztof
  • AGHWiśniowski Piotr

Słowa kluczowe

neurological disordersinsole piezoelectric sensorsrehabilitation monitoringgait analysissensor based gait diagnostics

Dane bibliometryczne

ID BaDAP166366
Data dodania do BaDAP2026-04-13
Tekst źródłowyURL
DOI10.1016/j.sna.2025.117426
Rok publikacji2026
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaSensors and Actuators, A, Physical

Abstract

Gait disturbances are a common consequence of various neurological disorders that could lead to reduced mobility, impaired balance, and increased fall risk. Gait analysis is essential for early diagnosis, monitoring rehabilitation progress, and optimizing treatment strategies. While plantar pressure-based gait assessment provides valuable insights into walking patterns, existing systems are often costly, require specialized facilities, or lack instant feedback for clinical use. This proof-of-concept study presents a cost-effective, portable insole-based system for live monitoring and instant feedback on gait disorders. The system consists of two insoles with piezoelectric pressure sensors, wireless transmitters, and two applications for data recording and analysis. Each sensor is individually calibrated during production using an electromagnetic actuator and a reference load cell. The system measures time-dependent foot pressure waveforms using eight sensors and determines key gait parameters, including stance phase, swing phase, double support phase duration, and energy distribution between the hindfoot and forefoot. A feasibility study was conducted involving two patients with neurological disorders — one with autoimmune encephalitis and the other with spinal cord injury — along with a healthy control. The measured gait parameters enabled the evaluation of gait symmetry, balance distribution, and foot loading patterns. Results were compared with established gait assessment techniques and demonstrated that the system provides reliable foot pressure measurements, enabling the detection of characteristic measurable gait differences between healthy persons and with neurological disorders. Significant differences in gait cycle phases and load distribution were observed, confirming its clinical utility. The system also showed high sensitivity in tracking rehabilitation progress and provided immediate visual feedback for clinicians and physical therapists.

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