» Articles » PMID: 15740632

Wearable Conductive Fiber Sensors for Multi-Axis Human Joint Angle Measurements

Overview
Publisher Biomed Central
Date 2005 Mar 3
PMID 15740632
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

BACKGROUND: The practice of continuous, long-term monitoring of human joint motion is one that finds many applications, especially in the medical and rehabilitation fields. There is a lack of acceptable devices available to perform such measurements in the field in a reliable and non-intrusive way over a long period of time. The purpose of this study was therefore to develop such a wearable joint monitoring sensor capable of continuous, day-to-day monitoring. METHODS: A novel technique of incorporating conductive fibers into flexible, skin-tight fabrics surrounding a joint is developed. Resistance changes across these conductive fibers are measured, and directly related to specific single or multi-axis joint angles through the use of a non-linear predictor after an initial, one-time calibration. Because these sensors are intended for multiple uses, an automated registration algorithm has been devised using a sensitivity template matched to an array of sensors spanning the joints of interest. In this way, a sensor array can be taken off and put back on an individual for multiple uses, with the sensors automatically calibrating themselves each time. RESULTS: The wearable sensors designed are comfortable, and acceptable for long-term wear in everyday settings. Results have shown the feasibility of this type of sensor, with accurate measurements of joint motion for both a single-axis knee joint and a double axis hip joint when compared to a standard goniometer used to measure joint angles. Self-registration of the sensors was found to be possible with only a few simple motions by the patient. CONCLUSION: After preliminary experiments involving a pants sensing garment for lower body monitoring, it has been seen that this methodology is effective for monitoring joint motion of the hip and knee. This design therefore produces a robust, comfortable, truly wearable joint monitoring device.

Citing Articles

A Novel IMU-Based System for Work-Related Musculoskeletal Disorders Risk Assessment.

Baklouti S, Chaker A, Rezgui T, Sahbani A, Bennour S, Laribi M Sensors (Basel). 2024; 24(11).

PMID: 38894211 PMC: 11174619. DOI: 10.3390/s24113419.


Perspectives of Patients With Orthopedic Trauma on Fully Automated Digital Physical Activity Measurement at Home: Cross-sectional Survey Study.

Scherer J, Yogarasa V, Rauer T, Pape H, Heining S JMIR Form Res. 2023; 7:e35312.

PMID: 36757791 PMC: 9951073. DOI: 10.2196/35312.


Smart Shirt for Measuring Trunk Orientation.

Simegnaw A, Teyeme Y, Malengier B, Tesfaye T, Daba H, Esmelealem K Sensors (Basel). 2022; 22(23).

PMID: 36501789 PMC: 9739249. DOI: 10.3390/s22239090.


Development of Low Hysteresis, Linear Weft-Knitted Strain Sensors for Smart Textile Applications.

Bozali B, Ghodrat S, Plaude L, van Dam J, Jansen K Sensors (Basel). 2022; 22(19).

PMID: 36236787 PMC: 9572287. DOI: 10.3390/s22197688.


An engineer's perspective on the mechanisms and applications of wearable inertial sensors.

Sy L J Spine Surg. 2022; 8(1):185-189.

PMID: 35441112 PMC: 8990391. DOI: 10.21037/jss-21-108.


References
1.
Mayagoitia R, Nene A, Veltink P . Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems. J Biomech. 2002; 35(4):537-42. DOI: 10.1016/s0021-9290(01)00231-7. View

2.
Morlock M, Schneider E, Bluhm A, Vollmer M, Bergmann G, Muller V . Duration and frequency of every day activities in total hip patients. J Biomech. 2001; 34(7):873-81. DOI: 10.1016/s0021-9290(01)00035-5. View

3.
Veltink P, Bussmann H, de Vries W, Martens W, van Lummel R . Detection of static and dynamic activities using uniaxial accelerometers. IEEE Trans Rehabil Eng. 1996; 4(4):375-85. DOI: 10.1109/86.547939. View

4.
Dipietro L, Sabatini A, Dario P . Evaluation of an instrumented glove for hand-movement acquisition. J Rehabil Res Dev. 2004; 40(2):179-89. View

5.
Steele B, Belza B, Cain K, Warms C, Coppersmith J, Howard J . Bodies in motion: monitoring daily activity and exercise with motion sensors in people with chronic pulmonary disease. J Rehabil Res Dev. 2004; 40(5 Suppl 2):45-58. DOI: 10.1682/jrrd.2003.10.0045. View