یک سیستم تشخیص زود هنگام برای زوال عقل با استفاده از پلت فرم M2M / IoT An Early Detection System for Dementia using the M2M/IoT Platform

1. Introduction In recent years, Japanese society has been suffering from aging. There have been many studies estimating the number of elderly people living alone will be increasing frighteningly. Moreover, patients who suffered from senile dementia also would be increasing. In 2025, we estimated the number of elderly people with dementia would be increased to 7 million1 . Dementia is disorder of memory and judgment caused by dying brain cell. Therefore, patients suffering from dementia are unable to live with ordinary social life. If dementia has been detected at an early stage, the progress of disease can be slowed. Therefore, early detection of dementia is essential to the patient’s therapy. Usually, housemates can detect dementia by noticing the subject being temperamental person. However, it is difficult to diagnose dementia at an early stage of the progression in elderly subjects living alone. 1.1. Previous Study and Tasks In our previous study, the authors proposed system which can detect a suspicion of Alzheimer’s disease, a kind of dementia, at an early stage 2-4. This system installed sensors inside the house of elderly people living alone. Sensors detected behaviors by initial symptoms, and then these data were sent to a database in cloud server. The system analyzed sensors’ data in the cloud and determined the suspicion of dementia. However, the system used preselected sensors and analytical methods to determine the suspicion of dementia for instance. Alzheimer’s disease is individually different in case of dealing with initial symptoms. Therefore, we need to add various types of sensors and select proper analytical methods to detect the symptoms. Moreover, the system hasn’t constructed a platform that can be modified easily when we want to increase the number of the subjects and add analytical method. 1.2. Purpose In this study, we proposed a platform of M2M system. The system can add new sensors and use a variety of analytical methods to correspond a variety of characteristics of Alzheimer’s disease patients by using a hierarchical configuration of the device, gateway and cloud. Furthermore, we examined division of functions about device, gateway and cloud in the signal processing, such as characteristic of amount extraction. As an example, we have developed a detection system about forgetting to close a faucet that is seen in early stage of Alzheimer’s disease by using M2M Platform.