Wearable Kinesthetic System in Post-stroke Rehabilitation: A Review of Sensor in Body Motions Detection

Nursabillilah Mohd Ali, ACB Der, CKY Fan, LK Wah, LM Loong, M Sulaiman, Zulhasnizam Hasan, Mohamed Saiful Firdaus Hussin, Sazalinsyah Razali

Abstract


This paper presents a system with various kinematics parameters considered to capture and classify body gestures for user’s recovery. The concepts involved are briefly explained in this paper. Basically, two devices concepts are explained, which are the Upper Limb Kinesthetic Garment (ULKG) and OPAL technologies. The method of literature search used is discussed in methodology, while detailed information from reviews on particular devices is analysed. Then, the performance and feedback from users are compiled to indicate usability on both devices under the results section. Both ULKG that used conductive elastomer (CE) and OPAL sensor are compared to figure out which sensor is more appropriate for users.

Keywords


Wearable Kinesthetic System; Post-Stroke Rehabilitation; Upper Limb Kinesthetic Garment (ULKG); OPAL Technologies; Conductive Elastomer (CE);

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References


Rohrer, Brandon, Susan Fasoli, Hermano Igo Krebs, Richard Hughes, Bruce Volpe, Walter R. Frontera, Joel Stein, and Neville Hogan. "Movement smoothness changes during stroke recovery." Journal of Neuroscience, 22(18), 2002, pp. 8297-8304.

Tognetti, Alessandro, Federico Lorussi, Raphael Bartalesi, Silvana Quaglini, Mario Tesconi, Giuseppe Zupone, and Danilo De Rossi. "Wearable kinesthetic system for capturing and classifying upper limb gesture in post-stroke rehabilitation." Journal of NeuroEngineering and Rehabilitation, 2(1), 2005, pp. 8.

Kun-Hui Chen, Po-Chao Chen, Kai-Chun Liu and Chia-Tai Chan, Wearable Sensor-Based Rehabilitation Exercise Assessment for Knee Osteoarthritis, Sensors, 15(2), 2015, pp. 4193-4211

APDM Wearable Sensors, [Online]. Available: http://www.apdm.com/wearable-sensors/ [Accessed: 21- Apr- 2017].

National Instrument Corporation, [Online]. Available: http://www.ni.com [Accessed: 21- Apr- 2017].

Simoes, Mario A. Feasibility of wearable sensors to determine Gait parameters. University of South Florida, 2011.

El-Gohary, Mahmoud, Lars Holmstrom, Jessie Huisinga, Edward King, James McNames, and Fay Horak. "Upper limb joint angle tracking with inertial sensors." In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE, pp. 5629-5632, 2011.

Ermes, Miikka, Juha Pärkkä, Jani Mäntyjärvi, and Ilkka Korhonen. "Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions." IEEE Transactions on Information Technology in Biomedicine, 12(1), 2008, pp. 20-26.

Murthy, Sreerama K. "Automatic construction of decision trees from data: A multi-disciplinary survey." Data Mining and Knowledge Discovery, 2(4), 1998, pp. 345-389.

Noh, Jin-Seo. "Conductive elastomers for stretchable electronics, sensors and energy harvesters." Polymers, 8(4), 2016, pp. 123.

Tognetti, Alessandro, Federico Lorussi, Mario Tesconi, Raphael Bartalesi, Giuseppe Zupone, and Danilo De Rossi. "Wearable kinesthetic systems for capturing and classifying body posture and gesture." In Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the, pp. 1012-1015, 2006.

Werner, Douglas H., and Zhi Hao Jiang, eds. Electromagnetics of Body Area Networks: Antennas, Propagation, and RF Systems. John Wiley & Sons, 2016.

Tognetti, Alessandro, Federico Lorussi, Raphael Bartalesi, Mario Tesconi, Giuseppe Zupone, and Danilo De Rossi. "Analysis and synthesis of human movements: wearable kinesthetic interfaces." In Rehabilitation Robotics, 2005. ICORR 2005. 9th International Conference on, pp. 488-491, 2005.

da Silva, Alexandre Ferreira, Anselmo Filipe Gonçalves, Paulo Mateus Mendes, and José Higino Correia. "FBG sensing glove for monitoring hand posture." IEEE Sensors Journal, 11(10), 2011, pp. 2442-2448.

Pacelli, M., G. Loriga, N. Taccini, and R. Paradiso. "Sensing fabrics for monitoring physiological and biomechanical variables: E-textile solutions." In Medical Devices and Biosensors, 2006. 3rd IEEE/EMBS International Summer School on, pp. 1-4, 2006.

Lorussi, Federico, Alessandro Tognetti, Mario Tesconi, Giuseppe Zupone, Raphael Bartalesi, and D. Rossi De. "Electroactive fabrics for distributed, comfortable and interactive systems." Studies in Health Technology and Informatics, 117, 2005, pp. 17-24.

Jiyong, Hu, Zhang Xiaofeng, Li Guohao, Yang Xudong, and Ding Xin. "Electrical properties of PPy-coated conductive fabrics for human joint motion monitoring." Autex Research Journal, 16(1), 2016, pp. 7-12.

Amjadi, Morteza, Aekachan Pichitpajongkit, Sangjun Lee, Seunghwa Ryu, and Inkyu Park. "Highly stretchable and sensitive strain sensor based on silver nanowire–elastomer nanocomposite." ACS Nano, 8(5), 2014, pp. 5154-5163.

Mattmann, Corinne, Oliver Amft, Holger Harms, Gerhard Troster, and Frank Clemens. "Recognizing upper body postures using textile strain sensors." In Wearable Computers, 2007 11th IEEE International Symposium on, pp. 29-36, 2007.

Giorgino, Tormene, P. Tormene, G. Maggioni, D. Capozzi, S. Quaglini, and C. Pistarini. "Assessment of sensorized garments as a flexible support to self-administered post-stroke physical rehabilitation." European Journal of Physical and Rehabilitation medicine, 45, no. 1, 2009, pp. 75-84.

J. Nurse, "Smart Fabric Inks: Printing technology onto future fashions - Future Worlds", Future Worlds, 2015. [Online]. Available: https://futureworlds.com/smart-fabric-inks-printing-technology-ontofuture-fashions/. [Accessed: 21- Apr- 2018].

Yu, Lei, Daxi Xiong, Liquan Guo, and Jiping Wang. "A remote quantitative Fugl-Meyer assessment framework for stroke patients based on wearable sensor networks." Computer methods and programs in biomedicine, 128, 2016, pp. 100-110.

Aubrey Bailey. Codman Shoulder Exercises. 2015

Raso, I., Hervás, R. and Bravo, J., “m-Physio: personalized accelerometer-based physical rehabilitation platform”. In Proceedings of the Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, 2010, pp. 416-421.

John J. Rychcik, Jan E. Vandemeer, and Mark L. Shaw, “Characterizing Input Saturation in Low-g Accelerometers”, Archives.sensorsmag.com, 2002. [Online]. Available: http://archives.sensorsmag.com/articles/0502/68/main.shtml. [Accessed: 21- Apr- 2017].

Arlt, G. "The sensitivity of strain gauges." Journal of Applied Physics, 49(7), 1978, pp. 4273-4274.

J. Johnston and K. Coffey, "Getting the Most out of Strain Gauge Load Cells", Archives.sensorsmag.com, 2000. [Online]. Available: http://archives.sensorsmag.com/articles/0500/52/. [Accessed: 21- Apr- 2017].

A. Kostiainen and R. Bhaumik, "Magnetometer", W3.org, 2016. [Online]. Available: https://www.w3.org/TR/magnetometer/. [Accessed: 21- Apr- 2017].

Peter Van Vessem and Don Williams. “Rediscovering the Strain Gauge Pressure Sensor”, Sensors-Peterborough, 16, pp. 36-4.


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