With the world getting busier and health of the people is at stake, we proposed an innovative system named The Smart Chair new model of Health Monitoring system for telemedicine developed based on sensor technologies and Security. It assures health care services for people anywhere and anytime. The main objective of this project is to design and develop health monitoring system that can be observed by the doctor in real time as well as check history of patient's medical data via internet with an indication in case of abnormalities. The whole patient monitoring system is embedded to a chair where we can make the patient to sit down to read vital signs. The smart chair is capable of monitoring many physiological parameters (e.g. heart rate, blood pressure, pulse rate, body weight and body temperature). By using Smart chair, patients can be kept informed of their health condition, while medical staff is in remote area could receive data from those devices by using wifi and Gsm module and give patients suggestions in time. To save the life of person, time-sensitive medical data should be dealt as much as possible in Emergency Situations. Our Experiments will achieve data accuracy and sensitivity using fog. Fog computing is a recently approached technique which extends cloud computing to edge of network. The features in fog computing will be applied for time sensitive healthcare applications, which provide early notification of emergency situations to support smart decision making. During transmission of data to fog and cloud, attackers can steal the privacy of user's information become a major problem. Signcryption provides resource efficiency by performing data signing and encryption in a single step. We can solve this approach by sending encrypted data to cloud and fog with signcryption model. Users can retrieve data by decrypting with unsigncrytion model and getting results to mobile phones. The result proposed is that we design an Iot Based secure smart healthcare application.


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    Titel :

    Smart Chair-A Telemedicine Based Health Monitoring System


    Beteiligte:
    Lavanya, Raja (Autor:in) / Nivetha, M (Autor:in) / Revasree, K. (Autor:in) / Sandhiya, K. (Autor:in)


    Erscheinungsdatum :

    01.03.2018


    Format / Umfang :

    2176330 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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