Literature DB >> 26737544

Seven phases of gait detected in real-time using shank attached gyroscopes.

A Behboodi, H Wright, N Zahradka, S C K Lee.   

Abstract

A new gyroscope-based gait phase detection system (GPDS) with ability to detect all seven phases of gait was proposed in this study. Gyroscopes were attached to each shank. Shank angular velocity, about the medio-lateral axis, was streamed to a PC and a rule-based algorithm was used to identify characteristics of the signals. Five subjects were asked to walk on treadmill at their self-selected speed while using this system. All 7 phases of gait: LR, MSt, TSt, PSw, ISw, MSw, and TSw were detected in real-time using only shank angular velocities. To quantify system performance, sensor data was compared to simultaneously collected motion capture data. Average gait phase detection delays of the system were less than 40ms except TSw (74ms). The present system, consisting of minimal sensors and decreased processing, is precise, cosmetic, economical, and a good alternative for portable stand-alone applications.

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Year:  2015        PMID: 26737544     DOI: 10.1109/EMBC.2015.7319644

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  8 in total

1.  Use of a Novel Functional Electrical Stimulation Gait Training System in 2 Adolescents With Cerebral Palsy: A Case Series Exploring Neurotherapeutic Changes.

Authors:  Ahad Behboodi; Nicole Zahradka; James Alesi; Henry Wright; Samuel C K Lee
Journal:  Phys Ther       Date:  2019-06-01

2.  A Prosthetic Shank With Adaptable Torsion Stiffness and Foot Alignment.

Authors:  Jochen Schuy; Nadine Stech; Graham Harris; Philipp Beckerle; Saeed Zahedi; Stephan Rinderknecht
Journal:  Front Neurorobot       Date:  2020-05-08       Impact factor: 2.650

3.  An Evaluation of Three Kinematic Methods for Gait Event Detection Compared to the Kinetic-Based 'Gold Standard'.

Authors:  Nicole Zahradka; Khushboo Verma; Ahad Behboodi; Barry Bodt; Henry Wright; Samuel C K Lee
Journal:  Sensors (Basel)       Date:  2020-09-15       Impact factor: 3.576

Review 4.  A Review of Gait Phase Detection Algorithms for Lower Limb Prostheses.

Authors:  Huong Thi Thu Vu; Dianbiao Dong; Hoang-Long Cao; Tom Verstraten; Dirk Lefeber; Bram Vanderborght; Joost Geeroms
Journal:  Sensors (Basel)       Date:  2020-07-17       Impact factor: 3.576

Review 5.  Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review.

Authors:  Hari Prasanth; Miroslav Caban; Urs Keller; Grégoire Courtine; Auke Ijspeert; Heike Vallery; Joachim von Zitzewitz
Journal:  Sensors (Basel)       Date:  2021-04-13       Impact factor: 3.576

Review 6.  Gait Recognition for Lower Limb Exoskeletons Based on Interactive Information Fusion.

Authors:  Wei Chen; Jun Li; Shanying Zhu; Xiaodong Zhang; Yutao Men; Hang Wu
Journal:  Appl Bionics Biomech       Date:  2022-03-26       Impact factor: 1.781

7.  Real-Time Continuous Gait Phase and Speed Estimation from a Single Sensor.

Authors:  David Quintero; Daniel J Lambert; Dario J Villarreal; Robert D Gregg
Journal:  Control Tech Appl       Date:  2017-10-09

8.  Evaluation of Individualized Functional Electrical Stimulation-Induced Acute Changes during Walking: A Case Series in Children with Cerebral Palsy.

Authors:  Nicole Zahradka; Ahad Behboodi; Ashwini Sansare; Samuel C K Lee
Journal:  Sensors (Basel)       Date:  2021-06-29       Impact factor: 3.576

  8 in total

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