Wearable Conductive Fiber Sensors for Multi-Axis Human Joint Angle Measurements
Overview
Neurology
Rehabilitation Medicine
Authors
Affiliations
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.
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.
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.