Wearable stretchable sensor based on conductive textile fabric for shoulder motion monitoring

Wearable stretchable sensors are gaining significant interest in application related to joint motion monitoring. Stretchable strain sensors are a promising technological solution to develop wearable systems for several applications (e.g., sports, rehabilitation, health science) thanks to their flexibility, lightweight, compliance, and ease to wear. The aim of this study is twofold: i) to perform the metrological characterization of a stretchable sensing element based on a conductive textile fabric for developing a wearable sensor intended for joint motion monitoring and ii) to provide a preliminary assessment of the developed sensor in shoulder motion monitoring. The static characterization and the hysteresis analysis at different speeds (i.e., 50 mm.min−1, 100 mm.min−1, 200 mm.min−1, 400 mm.min−1and 600 mm.min−1) were carried out to assess the sensor's characteristics to mechanical strain. An explorative test to assess the sensor feasibility in monitoring horizontal flexion-extension of the shoulder was performed on one healthy volunteer. Results showed that the sensor's resistance decreased from $75 k \Omega$ at 0% strain level to $52 k \Omega$ at 10% strain level during static characterization. Moreover, the maximum hysteresis error $e_{H}\%$ was always lower than 2.59% during loading-unloading hysteresis cycles at different speeds. The developed stretchable sensor seems to be a promising solution for monitoring shoulder range of motion in applications were unobtrusiveness and wearability are key factors.

[1]  Maury A. Nussbaum,et al.  A “Smart” Undershirt for Tracking Upper Body Motions: Task Classification and Angle Estimation , 2018, IEEE Sensors Journal.

[2]  Jung Kim,et al.  Printable skin adhesive stretch sensor for measuring multi-axis human joint angles , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[3]  Emiliano Schena,et al.  Wearable systems for shoulder kinematics assessment: a systematic review , 2019, BMC Musculoskeletal Disorders.

[4]  Ozgur Atalay,et al.  Knitted Strain Sensors: Impact of Design Parameters on Sensing Properties , 2014, Sensors.

[5]  Domenico Campolo,et al.  Inertial-Magnetic Sensors for Assessing Spatial Cognition in Infants , 2011, IEEE Transactions on Biomedical Engineering.

[6]  Shyamal Patel,et al.  A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.

[7]  Alessandro Tognetti,et al.  A bi-articular model for scapular-humeral rhythm reconstruction through data from wearable sensors , 2016, Journal of NeuroEngineering and Rehabilitation.

[8]  Emiliano Schena,et al.  Smart Textile Based on 12 Fiber Bragg Gratings Array for Vital Signs Monitoring , 2017, IEEE Sensors Journal.

[9]  R. Holm Electric contacts; theory and application , 1967 .

[10]  Maryam Naebe,et al.  Textile strain sensors: a review of the fabrication technologies, performance evaluation and applications , 2019, Materials Horizons.

[11]  Emiliano Schena,et al.  Respiratory Monitoring During Physical Activities With a Multi-Sensor Smart Garment and Related Algorithms , 2020, IEEE Sensors Journal.

[12]  Sergio Silvestri,et al.  Contact-Based Methods for Measuring Respiratory Rate , 2019, Sensors.

[13]  Domenico Campolo,et al.  Embedding inertial-magnetic sensors in everyday objects: assessing spatial cognition in children. , 2012, Journal of integrative neuroscience.

[14]  Emiliano Schena,et al.  A Magnetic Resonance-Compatible Wearable Device Based on Functionalized Fiber Optic Sensor for Respiratory Monitoring , 2021, IEEE Sensors Journal.

[15]  Emiliano Schena,et al.  A Multi-Parametric Wearable System to Monitor Neck Movements and Respiratory Frequency of Computer Workers , 2020, Sensors.

[16]  G. Tröster,et al.  Sensor for Measuring Strain in Textile , 2008, Sensors.

[17]  Sergio Silvestri,et al.  Ecological Sucking Monitoring of Newborns , 2013, IEEE Sensors Journal.

[18]  S. Standard GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT , 2006 .