The project aims at keeping as active as possible, socially and at work, people ageing with chronic conditions with disabling symptoms, as tremor that has a significant impact on the life of patients. Combining last-generation technologies with design principles, we designed and prototyped a wearable device which can monitor the movement of the upper limbs and, through an ad hoc algorithm based on machine learning, can recognize tremor and control it. The project includes an in-depth analysis to understand the user’s attitudes and preferences, a clinical trial aimed at optimizing the technology, and the technological development activities.
THE GOAL IS TO CREATE A
NON-INVASIVE AND NON-STIGMATIZING DEVICE
THAT COULD BE WORN PROUDLY OR DISCRETELY,
ACCORDING TO THE USER’S ATTITUDE.
We also aim to increase patients awareness: our website could become a landmark for patients and caregivers for the disease education and to be ever updated with our discoveries. The JAME system is also equipped with a smartphone app to allow the doctor to monitor the disease progress, and to adjust the pharmacological treatment, to allow Jame to improve its effectiveness, and to allow the patient to understand the efficacy of Jame.
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OBJECTIVES
Jame wants to improve the quality of life of people ageing with chronic conditions, by integrating technology and design principles to alleviate symptoms; we mainly target hand tremor that has a significant impact especially in Parkinson’s disease and Essential Tremor. We propose a cool- looking wearable device that is able both to identify and control hand tremor and to overcome the classical barriers of poor usability and acceptability of medical devices, due to their high stigmatizing nature. JAME is designed to help the patient act “normally” thanks to the synergy between wearable sensors and artificial intelligence.