The system allows you to analyze data on the movement and dream of people over 65 years of age and detect symptoms of early depression without using wearable devices. According to the leading researcher Samira A. Rakhimi, this approach reduces the discomfort for patients and helps to recognize changes in health over time.
Depression continues to be a serious problem in the elderly: 10-15% of the people living on their own suffers from this and up to 40% in care homes. However, almost half of the cases are not noticed, which worsen the physical situation, increases the risk of hospitalization and reduces quality of life.
HOPE uses data from Wi-Fi-Sensors installed into the room to analyze sleep time, frequency of awakening, and mobility levels. These parameters play an important role in the identification of depression. The system also uses AI methods that make the results more transparent for doctors.
Rakhimi emphasizes that the new technology can be a “compassionate friend önemli who follows the situation of the elderly passively and helps to define potential problems without violating their daily lives.
Source: Ferra
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