Abstract
Charcot-Marie-Tooth is a neurodegenerative disease which causes muscle degeneration and loss of sense in the appendages. Patients affected with the disease find holding an object in their hand difficult, since they have no sensation in their skin and have no idea how well they are grasping it. Over time, it is possible that their grip falls, and the object slips from their hand. To counter this, a device which improves the quality of life of people affected with Charcot-Marie-Tooth has been presented in this paper. The proposed device is in the form of a glove, which uses force sensors to continuously track the force applied by the user on the object they are holding. If it falls below a certain threshold, it warns them through haptic feedback-vibration motors placed in the forearm where the users’ sensation of touch is maintained. The sensors are paired with analog signal conditioning circuitry to obtain as good a linearity as possible without sacrificing resolution.
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Acknowledgements
We would like to express our gratitude to Professor Saneesh C T, Associate Professor, Department of Electronics and Communication Engineering for aiding us with the circuit design and testing to achieve an acceptable level of signal conditioning.
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Sarathchandran, V., Vincent, J., Mathais George, J., Sathwik Reddy, P., Ambika, R. (2023). Grip Assisting Glove for Charcot-Marie-Tooth Patients. In: Hemanth, J., Pelusi, D., Chen, J.IZ. (eds) Intelligent Cyber Physical Systems and Internet of Things. ICoICI 2022. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-031-18497-0_25
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DOI: https://doi.org/10.1007/978-3-031-18497-0_25
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