Lower Extremity Joint Angle Tracking with Wireless Ultrasonic Sensors during a Squat Exercise

This paper presents an unrestrained measurement system based on a wearable wireless ultrasonic sensor network to track the lower extremity joint and trunk kinematics during a squat exercise with only one ultrasonic sensor attached to the trunk. The system consists of an ultrasound transmitter (mobil...

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Main Authors: Yongbin Qi, Cheong Boon Soh, Erry Gunawan, Kay-Soon Low, Rijil Thomas
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/5/9610
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spelling doaj-feb8be5f5afb43fda15df33ede8896ae2020-11-24T23:26:36ZengMDPI AGSensors1424-82202015-04-011559610962710.3390/s150509610s150509610Lower Extremity Joint Angle Tracking with Wireless Ultrasonic Sensors during a Squat ExerciseYongbin Qi0Cheong Boon Soh1Erry Gunawan2Kay-Soon Low3Rijil Thomas4School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 SingaporeSchool of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 SingaporeSchool of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 SingaporeSchool of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 SingaporeSchool of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 SingaporeThis paper presents an unrestrained measurement system based on a wearable wireless ultrasonic sensor network to track the lower extremity joint and trunk kinematics during a squat exercise with only one ultrasonic sensor attached to the trunk. The system consists of an ultrasound transmitter (mobile) and multiple receivers (anchors) whose positions are known. The proposed system measures the horizontal and vertical displacement, together with known joint constraints, to estimate joint flexion/extension angles using an inverse kinematic model based on the damped least-squares technique. The performance of the proposed ultrasonic measurement system was validated against a camera-based tracking system on eight healthy subjects performing a planar squat exercise. Joint angles estimated from the ultrasonic system showed a root mean square error (RMSE) of 2.85° ± 0.57° with the reference system. Statistical analysis indicated great agreements between these two systems with a Pearson’s correlation coefficient (PCC) value larger than 0.99 for all joint angles’ estimation. These results show that the proposed ultrasonic measurement system is useful for applications, such as rehabilitation and sports.http://www.mdpi.com/1424-8220/15/5/9610ultrasoundwireless sensor networkjoint anglessquatrehabilitationinverse kinematics
collection DOAJ
language English
format Article
sources DOAJ
author Yongbin Qi
Cheong Boon Soh
Erry Gunawan
Kay-Soon Low
Rijil Thomas
spellingShingle Yongbin Qi
Cheong Boon Soh
Erry Gunawan
Kay-Soon Low
Rijil Thomas
Lower Extremity Joint Angle Tracking with Wireless Ultrasonic Sensors during a Squat Exercise
Sensors
ultrasound
wireless sensor network
joint angles
squat
rehabilitation
inverse kinematics
author_facet Yongbin Qi
Cheong Boon Soh
Erry Gunawan
Kay-Soon Low
Rijil Thomas
author_sort Yongbin Qi
title Lower Extremity Joint Angle Tracking with Wireless Ultrasonic Sensors during a Squat Exercise
title_short Lower Extremity Joint Angle Tracking with Wireless Ultrasonic Sensors during a Squat Exercise
title_full Lower Extremity Joint Angle Tracking with Wireless Ultrasonic Sensors during a Squat Exercise
title_fullStr Lower Extremity Joint Angle Tracking with Wireless Ultrasonic Sensors during a Squat Exercise
title_full_unstemmed Lower Extremity Joint Angle Tracking with Wireless Ultrasonic Sensors during a Squat Exercise
title_sort lower extremity joint angle tracking with wireless ultrasonic sensors during a squat exercise
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-04-01
description This paper presents an unrestrained measurement system based on a wearable wireless ultrasonic sensor network to track the lower extremity joint and trunk kinematics during a squat exercise with only one ultrasonic sensor attached to the trunk. The system consists of an ultrasound transmitter (mobile) and multiple receivers (anchors) whose positions are known. The proposed system measures the horizontal and vertical displacement, together with known joint constraints, to estimate joint flexion/extension angles using an inverse kinematic model based on the damped least-squares technique. The performance of the proposed ultrasonic measurement system was validated against a camera-based tracking system on eight healthy subjects performing a planar squat exercise. Joint angles estimated from the ultrasonic system showed a root mean square error (RMSE) of 2.85° ± 0.57° with the reference system. Statistical analysis indicated great agreements between these two systems with a Pearson’s correlation coefficient (PCC) value larger than 0.99 for all joint angles’ estimation. These results show that the proposed ultrasonic measurement system is useful for applications, such as rehabilitation and sports.
topic ultrasound
wireless sensor network
joint angles
squat
rehabilitation
inverse kinematics
url http://www.mdpi.com/1424-8220/15/5/9610
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