Literature DB >> 28114026

A Real-Time Gait Event Detection for Lower Limb Prosthesis Control and Evaluation.

H F Maqbool, M A B Husman, M I Awad, A Abouhossein, Nadeem Iqbal, A A Dehghani-Sanij.   

Abstract

Lower extremity amputees suffer from mobility limitations which will result in a degradation of their quality of life. Wearable sensors are frequently used to assess spatio-temporal, kinematic and kinetic parameters providing the means to establish an interactive control of the amputee-prosthesis-environment system. Gait events and the gait phase detection of an amputee's locomotion are vital for controlling lower limb prosthetic devices. The paper presents an approach to real-time gait event detection for lower limb amputees using a wireless gyroscope attached to the shank when performing level ground and ramp activities. The results were validated using both healthy and amputee subjects and showed that the time differences in identifying Initial Contact (IC) and Toe Off (TO) events were larger in a transfemoral amputee when compared to the control subjects and a transtibial amputee (TTA). Overall, the time difference latency lies within a range of ±50 ms while the detection rate was 100% for all activities. Based on the validated results, the IC and TO events can be accurately detected using the proposed system in both control subjects and amputees when performing activities of daily living and can also be utilized in the clinical setup for rehabilitation and assessing the performance of lower limb prosthesis users.

Mesh:

Year:  2016        PMID: 28114026     DOI: 10.1109/TNSRE.2016.2636367

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  12 in total

1.  Gait event detection using inertial measurement units in people with transfemoral amputation: a comparative study.

Authors:  Emeline Simonetti; Coralie Villa; Joseph Bascou; Giuseppe Vannozzi; Elena Bergamini; Hélène Pillet
Journal:  Med Biol Eng Comput       Date:  2019-12-23       Impact factor: 2.602

Review 2.  Gait metrics analysis utilizing single-point inertial measurement units: a systematic review.

Authors:  Ralph Jasper Mobbs; Jordan Perring; Suresh Mahendra Raj; Monish Maharaj; Nicole Kah Mun Yoong; Luke Wicent Sy; Rannulu Dineth Fonseka; Pragadesh Natarajan; Wen Jie Choy
Journal:  Mhealth       Date:  2022-01-20

3.  Whole Body Awareness for Controlling a Robotic Transfemoral Prosthesis.

Authors:  Andrea Parri; Elena Martini; Joost Geeroms; Louis Flynn; Guido Pasquini; Simona Crea; Raffaele Molino Lova; Dirk Lefeber; Roman Kamnik; Marko Munih; Nicola Vitiello
Journal:  Front Neurorobot       Date:  2017-05-30       Impact factor: 2.650

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

5.  Robotic Cane Controlled to Adapt Automatically to Its User Gait Characteristics.

Authors:  Andrés Trujillo-León; Ragou Ady; David Reversat; Wael Bachta
Journal:  Front Robot AI       Date:  2020-08-12

6.  Understanding LSTM Network Behaviour of IMU-Based Locomotion Mode Recognition for Applications in Prostheses and Wearables.

Authors:  Freddie Sherratt; Andrew Plummer; Pejman Iravani
Journal:  Sensors (Basel)       Date:  2021-02-10       Impact factor: 3.576

Review 7.  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

8.  ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses.

Authors:  Huong Thi Thu Vu; Felipe Gomez; Pierre Cherelle; Dirk Lefeber; Ann Nowé; Bram Vanderborght
Journal:  Sensors (Basel)       Date:  2018-07-23       Impact factor: 3.576

9.  Pressure-Sensitive Insoles for Real-Time Gait-Related Applications.

Authors:  Elena Martini; Tommaso Fiumalbi; Filippo Dell'Agnello; Zoran Ivanić; Marko Munih; Nicola Vitiello; Simona Crea
Journal:  Sensors (Basel)       Date:  2020-03-06       Impact factor: 3.576

10.  A Multimodal Sensory Apparatus for Robotic Prosthetic Feet Combining Optoelectronic Pressure Transducers and IMU.

Authors:  Tommaso Fiumalbi; Elena Martini; Vito Papapicco; Filippo Dell'Agnello; Alessandro Mazzarini; Andrea Baldoni; Emanuele Gruppioni; Simona Crea; Nicola Vitiello
Journal:  Sensors (Basel)       Date:  2022-02-23       Impact factor: 3.576

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