Heuristic real-time detection of temporal gait events for lower limb amputees
This paper presents a complete system and algorithm to estimate temporal gait events during stance and inner-stance phases using a single inertial measurement unit (IMU) in real-time. Validation of the proposed system was carried out by placing the foot-switches (FSW) directly underneath the foot. T...
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iium-721692019-07-12T01:40:36Z http://irep.iium.edu.my/72169/ Heuristic real-time detection of temporal gait events for lower limb amputees Maqbool, Hafiz Farhan Husman, Muhammad Afif Awad, Mohammed Ibrahim Abouhossein, Alireza Iqbal, Nadeem Tahir, Mehak Dehghani-Sanij, Abbas Ali RD Surgery T Technology (General) This paper presents a complete system and algorithm to estimate temporal gait events during stance and inner-stance phases using a single inertial measurement unit (IMU) in real-time. Validation of the proposed system was carried out by placing the foot-switches (FSW) directly underneath the foot. The performance of the system was assessed with eleven control subjects (CS), one unilateral transfemoral amputee (TFA), and one unilateral transtibial amputee (TTA), while performing level ground walk and ramp activities. The experimental results showed reasonable agreement in timing differences of all the gait events in both groups when compared against the reference system. However, high data latency was observed for TFA in the case of Foot-Flat Start (FFS) and Heel-Off (HO). The slight variation in the positioning of IMU on the shank and the foot-switches underneath the foot and the difference in the kinematics of CS and lower limb amputees are probable reasons for large variations in the time difference. Overall, the detection accuracy was found to be 100% for Initial Contact, FFS, and Toe-Off, and 98.3% for HO. In addition, a high correlation was observed between estimated stance phase duration (SPD) from IMU and the SPD from FSW data. The proposed system showed high accuracy in the detection of temporal gait events which could potentially be employed in the gait analysis applications and the finite-state control of lower limb prostheses/orthoses. Institute of Electrical and Electronics Engineers Inc. 2019-04-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72169/1/72169_Heuristic%20Real-Time%20Detection%20of%20Temporal%20Gait.pdf application/pdf en http://irep.iium.edu.my/72169/7/72169_Heuristic%20Real-Time%20Detection%20of%20Temporal_wos.pdf application/pdf en http://irep.iium.edu.my/72169/8/72169_Heuristic%20Real-Time%20Detection%20of%20Temporal_scopus.pdf Maqbool, Hafiz Farhan and Husman, Muhammad Afif and Awad, Mohammed Ibrahim and Abouhossein, Alireza and Iqbal, Nadeem and Tahir, Mehak and Dehghani-Sanij, Abbas Ali (2019) Heuristic real-time detection of temporal gait events for lower limb amputees. IEEE Sensors Journal, 19 (8). pp. 3138-3148. ISSN 1530-437X https://ieeexplore.ieee.org/document/8590827 10.1109/JSEN.2018.2889970 |
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RD Surgery T Technology (General) Maqbool, Hafiz Farhan Husman, Muhammad Afif Awad, Mohammed Ibrahim Abouhossein, Alireza Iqbal, Nadeem Tahir, Mehak Dehghani-Sanij, Abbas Ali Heuristic real-time detection of temporal gait events for lower limb amputees |
description |
This paper presents a complete system and algorithm to estimate temporal gait events during stance and inner-stance phases using a single inertial measurement unit (IMU) in real-time. Validation of the proposed system was carried out by placing the foot-switches (FSW) directly underneath the foot. The performance of the system was assessed with eleven control subjects (CS), one unilateral transfemoral amputee (TFA), and one unilateral transtibial amputee (TTA), while performing level ground walk and ramp activities. The experimental results showed reasonable agreement in timing differences of all the gait events in both groups when compared against the reference system. However, high data latency was observed for TFA in the case of Foot-Flat Start (FFS) and Heel-Off (HO). The slight variation in the positioning of IMU on the shank and the foot-switches underneath the foot and the difference in the kinematics of CS and lower limb amputees are probable reasons for large variations in the time difference. Overall, the detection accuracy was found to be 100% for Initial Contact, FFS, and Toe-Off, and 98.3% for HO. In addition, a high correlation was observed between estimated stance phase duration (SPD) from IMU and the SPD from FSW data. The proposed system showed high accuracy in the detection of temporal gait events which could potentially be employed in the gait analysis applications and the finite-state control of lower limb prostheses/orthoses. |
format |
Article |
author |
Maqbool, Hafiz Farhan Husman, Muhammad Afif Awad, Mohammed Ibrahim Abouhossein, Alireza Iqbal, Nadeem Tahir, Mehak Dehghani-Sanij, Abbas Ali |
author_facet |
Maqbool, Hafiz Farhan Husman, Muhammad Afif Awad, Mohammed Ibrahim Abouhossein, Alireza Iqbal, Nadeem Tahir, Mehak Dehghani-Sanij, Abbas Ali |
author_sort |
Maqbool, Hafiz Farhan |
title |
Heuristic real-time detection of temporal gait events for lower limb amputees |
title_short |
Heuristic real-time detection of temporal gait events for lower limb amputees |
title_full |
Heuristic real-time detection of temporal gait events for lower limb amputees |
title_fullStr |
Heuristic real-time detection of temporal gait events for lower limb amputees |
title_full_unstemmed |
Heuristic real-time detection of temporal gait events for lower limb amputees |
title_sort |
heuristic real-time detection of temporal gait events for lower limb amputees |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2019 |
url |
http://irep.iium.edu.my/72169/ http://irep.iium.edu.my/72169/ http://irep.iium.edu.my/72169/ http://irep.iium.edu.my/72169/1/72169_Heuristic%20Real-Time%20Detection%20of%20Temporal%20Gait.pdf http://irep.iium.edu.my/72169/7/72169_Heuristic%20Real-Time%20Detection%20of%20Temporal_wos.pdf http://irep.iium.edu.my/72169/8/72169_Heuristic%20Real-Time%20Detection%20of%20Temporal_scopus.pdf |
first_indexed |
2023-09-18T21:42:18Z |
last_indexed |
2023-09-18T21:42:18Z |
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1777413220862001152 |