Tremor Ease

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dc.contributor.author Ahmed Hassan, 01-133202-016
dc.contributor.author Ghulam Yaseen, 01-133202-038
dc.contributor.author Rehan Abbasi, 01-133202-144
dc.date.accessioned 2024-06-25T04:41:07Z
dc.date.available 2024-06-25T04:41:07Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/17456
dc.description Supervised by Dr. Nadia Imran en_US
dc.description.abstract Every year thousands of people fall prey to Parkinson’s disease, a neurodegenerative progressive disorder that slowly causes the loss of important neural motor functions in patients. Most of the Parkinson’s disease patients suffer from explicit hand tremors that cause uncontrollable shaking which they cannot control and often cause hindrances in their daily life activities. Many advancements have been made in the field of medicines and biotechnology to ease the tremors that occur in Parkinson’s disease patients but most have been proven either too expensive or simply do not cause enough relief in stabilizing the tremors. We present an innovative glove that helps patients in countering the hand tremors efficiently and cost effectively. The Tremor Ease glove equipped with accelerometer and gyroscope sensors, addresses the challenges posed by Parkinson’s related tremors. The sensors detect when a tremor occurs, and through the integration of machine learning into the microcontroller, a personalized threshold is set based on real-time hand movement data from these sensors. When this threshold is exceeded, a brushless DC motor with an added disc weight engages at a designated RPM, harnessing controlled inertia to suppress the tremors effectively. en_US
dc.language.iso en en_US
dc.publisher Electrical Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries BEE;P-2729
dc.subject Electrical Engineering en_US
dc.subject Occupational Therapy en_US
dc.subject Individualization and Personalization en_US
dc.title Tremor Ease en_US
dc.type Project Reports en_US


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