Work

Gait Cycle Duration Analysis in Lower Limb Amputees Using an IoT-Based Photonic Wearable Sensor: A Preliminary Proof-of-Concept Study

Year: 2025

Type: article

Abstract: The sensor effectively detected mid-stance events and adapted to variations in gait cadence. Comparison with Kinovea® showed a reasonable agreement, with most relative differences under 13%. Both methods identified similar gait symmetry trends. The results confirm the feasibility of the proposed system for real-time gait assessment across different walking speeds. Although preliminary, this validation supports the potential of the device as a low-cost, portable, and objective tool for functional evaluation in prosthetic rehabilitation. Further studies are needed to expand validation with clinical populations and laboratory-grade reference systems.

Source: Sensors

DOI: 10.3390/s25237148

Authors: Bruna Alves, Alessandro Fantoni, José Pedro Matos, João Costa, Manuela Vieira

Institutions: Universidade Politécnica de Lisboa, Uninova, University of Lisbon, Universidade Nova de Lisboa

Language: English

Topic: Gait Recognition and Analysis

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,137