Literature DB >> 18001994

Wearable accelerometer system for measuring the temporal parameters of gait.

Jung-Ah Lee1, Sang-Hyun Cho, Jeong-Whan Lee, Kang-Hwi Lee, Heui-Kyung Yang.   

Abstract

A small and wireless accelerometer system was developed for the estimation of temporal gait parameters. The new system was built using two 3-axis accelerometers. Measurement's accuracy was assessed using as a criterion standard provided by foot switches. To assess the consistency of this system, estimates of heel contact and toe off time based on accelerometers and those based on footswitches were compared for 20 steps from 8 individual healthy subjects. Accelerometers and footswitches had high consistency in the temporal gait parameters. The stance, swing, single support, and double support time of gait cycle revealed ICCs values of 0.95, 0.93, 0.86, and 0.75 on the right and 0.96, 0.86, 0.93, 0.84 on the left, respectively. Therefore, this system proved to be a reliable tool for identification of temporal gait parameters.

Mesh:

Year:  2007        PMID: 18001994     DOI: 10.1109/IEMBS.2007.4352328

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  5 in total

1.  Instrumenting gait with an accelerometer: a system and algorithm examination.

Authors:  A Godfrey; S Del Din; G Barry; J C Mathers; L Rochester
Journal:  Med Eng Phys       Date:  2015-03-04       Impact factor: 2.242

2.  An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors.

Authors:  Arif Reza Anwary; Hongnian Yu; Michael Vassallo
Journal:  Sensors (Basel)       Date:  2018-02-24       Impact factor: 3.576

Review 3.  Wearable Performance Devices in Sports Medicine.

Authors:  Ryan T Li; Scott R Kling; Michael J Salata; Sean A Cupp; Joseph Sheehan; James E Voos
Journal:  Sports Health       Date:  2015-11-11       Impact factor: 3.843

4.  Flexible Insole Sensors with Stably Connected Electrodes for Gait Phase Detection.

Authors:  Wenzheng Heng; Gaoyang Pang; Feihong Xu; Xiaoyan Huang; Zhibo Pang; Geng Yang
Journal:  Sensors (Basel)       Date:  2019-11-27       Impact factor: 3.576

5.  Deep Convolutional Neural Network-Based Hemiplegic Gait Detection Using an Inertial Sensor Located Freely in a Pocket.

Authors:  Hangsik Shin
Journal:  Sensors (Basel)       Date:  2022-03-01       Impact factor: 3.576

  5 in total

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