dc.description.abstract |
Currently around 9% of the world’s population is over the age of 60 and this figure is only expected to rise as according to a study 2 Billion people will be over the age of 60 by 2050. This
causes two major problems; Firstly, an ever increasing burden on the care-takers who’s slight
delay in response might cost an elderly’s life. Cases that require critical response time includes a
senior person falling, suffering from heart or an epilepsy attack etc. According to a research, due
to injuries following a fall 50% of the elderly population are unable to live independently and
25% will die within 6 months. Secondly, with old age comes neurodegenerative movement disorders. These disorders include Parkinson’s Disease, Alzheimer's disease, Dystonia and Benign
Essential Tremor and are very often misdiagnosed due to the overlapping symptoms and subjective neurological tests by the doctors. We’re solving these two primarily age-related problems by
constantly monitoring the vitals of the elderly and alerting their care-taker in case of a medical
emergency. Also, we’d be providing clinical support system to the doctors in the diagnosis of
Parkinson’s Disease and other related disorders. We have created a smartwatch application that
will constantly monitor the heart-rate and activity levels of the elderly and in case of any irregularities generate a notification on the caretakers mobile. Furthermore, the patient will now have
the ability to record the tremors while they are at their peak and upload the data to the cloud
where machine learning algorithms would be applied on various features such as the signal’s frequency and mean standard deviation and the diseases will be diagnosed with a greater accuracy. |
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