@inproceedings{scholars17448,
             doi = {10.1109/ROMA55875.2022.9915658},
            year = {2022},
            note = {cited By 2; Conference of 5th IEEE International Symposium in Robotics and Manufacturing Automation, ROMA 2022 ; Conference Date: 6 August 0202 Through 8 August 0202; Conference Code:183507},
           title = {Remote Patient Monitoring System},
         journal = {2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation, ROMA 2022},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
            isbn = {9781665459327},
          author = {Tan, L. T. and Shahrizal, R. S. M. and Nadzri, M. N. M. and Yahya, N. and Hisham, S. B.},
        abstract = {Regular healthcare center visit can be very chal-lenging for elderly and patients residing in rural areas. This is because most elderly suffers from disability while patients from rural areas need to travel for a long distance to the healthcare center. To overcome this issue, this paper proposed a remote patient monitoring system (RPMS), a low-cost wearable wrist band that utilizes set of technologies and practices enabling healthcare providers to track the patients' health data changes in real-time even from a distance. The RPMS collect the patient's body vitals data including body temperature, heart rate, oxygen saturation level, and position to allow the healthcare providers to identify any potential diseases of the patient and use it in the preparation of a treatment plan. The location of patient would also be captured using Global Positioning System to allow immediate medical attention in the event of emergency. The RPMS proposed is also capable of sending the data to the cloud and display the data in the mobile app. Simple diagnostic using thresholding method is also carried out and reflected in the mobile app. {\^A}{\copyright} 2022 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141603107&doi=10.1109\%2fROMA55875.2022.9915658&partnerID=40&md5=b968b69673fff82ff0fd7312b16358e6},
        keywords = {Diagnosis; Patient monitoring; Patient treatment; Wearable technology, Data change; Electronic healthcare; Health care providers; Health data; Low-costs; Mobile app; Patient health; Position predictions; Remote monitoring; Remote patient monitoring systems, Rural areas}
}