2019 - 2020
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The expenses for health care and medicine especially for elderly people is increasing in recent times. We could not know whether they take their medicines on time. Also, we could not know whether they still feel depressed and lonely. A smart medical device is designed especially for patients and elderly people to solve the above problem.
Initially, the device reminds the patient/elderly people that it is time to take the medication. The proposed device will function with the following aspects.Voice-based system is used to alert the elderly people as well as the patients to take medicines on time. If they do not take medicines on time, alert message is sent to their guardians
Detects and displays (e.g., visually or through sound) how much dosage of medicine is present in the inhaler.Measures the body temperature and pulse rate and also sends the status of their body conditions to their guardians. Identifies the depression of elderly people and patients through the voice-based recognition system.
The proposed device uses the machine learning approach for analyzing the voice-based data and easily identifies the depression rate of the people. Through this proposed device, we can make the patients and elderly people to live happily as much as possible. To demonstrate the robustness and practicality of this solution to real-time prediction, we evaluated the performance of the smart medical device and a Mobile App. This work demonstrates the capability of machine learning in real-time data of patients, which can be further improved with a more extensive data set.
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Mr.Anand
Mr.Manikandan
Mr.Praveen
Mr.Bharathi
Mr.Sugirtha raj
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