Kebanyakan negara sedang membangun dan terbelakangan menghadapi masalah kekurangan profesion kedoktoran. Produk teleperubatan yang sedia ada tidak mempertimbangkan komunikasi dua hala antara pesakit dan doktor. Masalah ini telah menggalakkan pembinaan sistem terbenam dalam penjagaan kesihatan berdasarkan IoT untuk menambahbaikan sistem semasa. Sistem ini mengandungi penderia tekanan darah, kadar nadi dan suhu badan untuk pengesanan 3 tanda vital. Data daripada penderia-penderia diproses oleh Intel Edison sebelum dihantar dan disimpan ke Bluemix. Aplikasi direka untuk mempaparkan data dan status kesihatan pengguna serta membolehkan pengguna berhubung dengan doktor melalui chatbox. Beberapa ujian dijalankan untuk menguji prestasi sistem ini. Ujian pertama menguji fungsi dan ketepatan penderia. Keputusan ujian mendapati bahawa penderia-penderia mencapai ketepatan sebanyak 99.27%, 99.70% dan 91.57% untuk suhu badan, kadar nadi dan tekanan darah masing-masing. Ujian kedua berkaitan dengan kesan warna latar belakang kepada penderia kadar nadi. Warna gelap disyorkan kerana masa untuk menyegerakkan kadar nadi pengguna lebih pendek (5.56s) berbanding dengan warna putih (7.31s). Ujian ketiga menguji kesan kelajuan Internet kepada masa penghantaran. Kelawatan diperhatikan dalam kelajuan Internet 100Mbps dan 64kbps adalah 1.5s dan 3s masing-masing. Keputusan ini menunjukkan bahawa kelajuan Internet tidak membawa kesan ketara kepada sistem ini. Ujian terakhir melibatkan 10 pelajar USM untuk ujian keseluruhan. Kesimpulannya, sistem ini mampu berfungsi dan mengawal ukuran ralat kurang daripada 10%. Sistem ini menjamin prestasi dan berpotensi dalam memberi perkhimatan kesihatan yang berkualiti.
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Shortage of doctor professions is a major issue in most of the developing and underdeveloped countries. Conventional telemedicine products lack of two-way communication feature between the patient and medical personnel. The aforementioned drawback promotes the development of embedded healthcare system in this study by utilizing IoT to improve current system. This system consists of blood pressure sensor, pulse sensor and body temperature sensor for measurement of 3 recognized vital signs. The measured data from the sensors are processed on Intel Edison platform before transmit and store at IBM Bluemix. An application is designed to display the data and health status of the users with addition of a chatbox that provides users to contact with doctors. Several testing are conducted to evaluate the performance of the system. First is the functionality and accuracy of the sensor. From several conducted experiments, the sensors achieved 99.27%, 99.70% and 91.57% for measurement of body temperature, pulse rate, and blood pressure respectively. The second testing related with the effect of background color for the measurement of pulse sensor. Dark background is recommended during measurement since the time required to synchronize with user heartbeat is shorter (5.56s) compared to white background (7.31s). The third testing investigate the effect of Internet speed to the data transmission time. The delay observed in 100Mbps and 64kbps Internet speed are 1.5s and 3s. The result reveals that the Internet speed does not give significant impact to this system. The final testing involves 10 USM students for the evaluation of overall system functionality. In conclusion, the system is capable to perform with control of measurement error below 10%. The proposed IOT-based system in this study show promising performance and potential in providing better healthcare services.
IOT-Based healthcare monitoring system / Tiong Reng Xian