Unobtrusive measurement of gait parameters using seismographs: An observational study.

ABSTRACT: Analyzing irregularities in walking patterns helps detect human locomotion abnormalities that can signal health changes. Traditional observation-based assessments have limitations due to subjective biases and capture only a single time point. Ambient and wearable sensor technologies allow continuous and objective locomotion monitoring but face challenges due to the need for specialized expertise and user compliance. This work proposes a seismograph-based algorithm for quantifying human gait, incorporating a step extraction algorithm derived from mathematical morphologies, with the goal of achieving the accuracy of clinical reference systems. To evaluate our method, we compared the gait parameters of 50 healthy participants, as recorded by seismographs, and those obtained from reference sys

SUBMITTER: Single M 

PROVIDER: S-EPMC11196696 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature