GaitPy

GaitPy: An Open-Source Python Package for Gait Analysis Using an Accelerometer on the Lower Back. Read and process raw vertical accelerometry data from a sensor on the lower back during gait; calculate clinical gait characteristic. GaitPy provides python functions to read accelerometry data from a single lumbar-mounted sensor and estimate clinical characteristics of gait. Device location: lower back/lumbar; Sensing modality: Accelerometer; Sensor data: Vertical acceleration; Minimum sampling rate: 50Hz

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 2 articles , 1 standard article )

Showing results 1 to 2 of 2.
Sorted by year (citations)

  1. Phillip Snyder; Meghasyam Tummalacherla; Thanneer Perumal; Larsson Omberg: mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data (2020) not zbMATH
  2. Matthew D. Czech; Shyamal Patel: GaitPy: An Open-Source Python Package for Gait Analysis Using an Accelerometer on the Lower Back (2019) not zbMATH