The purpose of the study was to assess the accuracy of estimates of step frequency from trunk acceleration data analyzed with commonly used algorithms and time window lengths, at a wide range of gait speeds. Twenty healthy young subjects performed an incremental treadmill protocol from 1 km/h up to 6 km/h, with steps of 1 km/h. Each speed condition was maintained for two minutes. A waist worn accelerometer recorded trunk accelerations, while video analysis provided the correct number of steps taken during each gait speed condition. Accuracy of two commonly used signal analysis methods was examined with several different time windows
Background: The assessment of short episodes of gait is clinically relevant and easily implemented, ...
Gait quantification has been a subject of growing interest in the recent years and researchers are l...
Background: The quantification of gait temporal parameters (i.e. step time, stance time) is crucial ...
abstract: Over the last decade, the ability to track daily activity through step counting devices ha...
Wearable devices are able to capture movement-related characteristics from inertial sensors integrat...
(1) Background: This study compared manually-counted treadmill walking steps from the hip-worn Digiw...
The purpose of this study was to validate peak acceleration data from an accelerometer contained wit...
Purpose: Activity monitors are designed for helping to monitor the quantity and intensity of exercis...
Unstable gait is a risk factor for falls. Wearable accelerometers enable remote monitoring of daily ...
Background Gait speed is a widely used outcome measure to assess the walking abilities of children ...
Purpose: To examine the effect of brief, intermittent stepping bouts on step counts from 10 physical...
The Verisense Step Count Algorithm facilitates generation of steps from wrist-worn accelerometers. B...
The dataset contains tri-axial acceleration and gyroscope data (100 Hz sampling) from walks from 19 ...
The objective of this study was to assess the validity of the step count functions in Actical accele...
This study aimed to evaluate the concurrent validity of two different inertial measurement units for...
Background: The assessment of short episodes of gait is clinically relevant and easily implemented, ...
Gait quantification has been a subject of growing interest in the recent years and researchers are l...
Background: The quantification of gait temporal parameters (i.e. step time, stance time) is crucial ...
abstract: Over the last decade, the ability to track daily activity through step counting devices ha...
Wearable devices are able to capture movement-related characteristics from inertial sensors integrat...
(1) Background: This study compared manually-counted treadmill walking steps from the hip-worn Digiw...
The purpose of this study was to validate peak acceleration data from an accelerometer contained wit...
Purpose: Activity monitors are designed for helping to monitor the quantity and intensity of exercis...
Unstable gait is a risk factor for falls. Wearable accelerometers enable remote monitoring of daily ...
Background Gait speed is a widely used outcome measure to assess the walking abilities of children ...
Purpose: To examine the effect of brief, intermittent stepping bouts on step counts from 10 physical...
The Verisense Step Count Algorithm facilitates generation of steps from wrist-worn accelerometers. B...
The dataset contains tri-axial acceleration and gyroscope data (100 Hz sampling) from walks from 19 ...
The objective of this study was to assess the validity of the step count functions in Actical accele...
This study aimed to evaluate the concurrent validity of two different inertial measurement units for...
Background: The assessment of short episodes of gait is clinically relevant and easily implemented, ...
Gait quantification has been a subject of growing interest in the recent years and researchers are l...
Background: The quantification of gait temporal parameters (i.e. step time, stance time) is crucial ...