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At present, there are examples that the patient's heart rate is measured by placing a finger on a device or it is possible with the help of mobile phones. But all of these tools are effective only when the patient becomes aware of the fluctuations. In this paper, we attempt to design a system to prevent possible dangers faced by patients with various types of disabilities, which, in the event of a place of an attack, reveals the physical condition and vital signs. The system consists of two parts, including software and hardware parts. The hardware part includes sensors and central controllers. While the software part includes an installable application on the user's mobile phone. This app is composed of two parts, including patient-side or transmitter application (Sender), and relatives, hospital, emergency service provider or doctor-side or receiver application (Receiver). We recruited 15 patients with physical disabilities from whom data were acquired. Data of 22 falling events were collected; altogether, 19 falling events were submitted for analysis. The rest of the events were rejected because of age restriction inclusion criteria. Findings have confirmed the helpfulness and usefulness of the method to process the proposed model properly and detect, track, and classify physically disabled people as moving objects. Our findings demonstrated the rational performance of the suggested fall detection system in the tested situations.
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