Auskultasi Jarak Jauh untuk Pengukuran dan Perekaman Sinyal Suara Jantung

In 2014, the Sample Registration System (SRS) released a survey showing that heart diseases can be categorized as the second highest non-communicable disease in Indonesia. The percentage is 12.9%. In this work, a tele-auscultation system for heart sound signals was built to transmit the signal over the global Internet networks and store them in a Cloud storage. Thus, the system allows measurement of heart sound signal for the rural area where the presence of expert is very scarce and helps the expert doctors to perform clinical analysis anywhere. Our examination showed that the system exhibited the average transmission delay of 5.68 second and data lost of only less than 1% for transmission of 1 heart sound signal. On the other hand, examination using two heart sound signals transmitted simultaneously showed that it displayed a smaller average of transmission delay. It may be caused by the measurement of the transmission delay as well as data lost that is depended on the traffic in the internet networks. Moreover, correlation of the heart sound signals before and after transmission showed a strong correlation where the correlation value is very close to 1 at, indicating that there is a strong similarity between the two signals.

[1]  Jusak Jusak,et al.  Wireless tele-auscultation for phonocardiograph signal recording through Zigbee networks , 2015, 2015 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob).

[2]  J.-C Chiao,et al.  Wireless stethoscope for recording heart and lung sound , 2016, 2016 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS).

[3]  Afdhal Afdhal.  Studi Perbandingan Layanan Cloud Computing , 2014 .

[4]  Eka Sari Oktarina.  TA : Transmisi Nirkabel Sinyal Auskultasi Suara Jantung Dengan Menggunakan Wireless Zigbee Network , 2015 .

[5]  Xu Chen,et al.  Monitoring Vital Signs and Postures During Sleep Using WiFi Signals , 2018, IEEE Internet of Things Journal.

[6]  Malek Ali,et al.  Development of wireless Bluetooth heart rate remote monitoring system , 2012, ICWCA.

[7]  Wei Xiang,et al.  An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcare , 2016, Journal of Medical Systems.

[8]  John A. Gubner.  Probability and Random Processes for Electrical and Computer Engineers , 2006 .

[9]  Fakultas Teknik,et al.  IEEE 802.11ac sebagai Standar Pertama untuk Gigabit Wireless LAN , 2014 .

[10]  Kyung-Sup Kwak,et al.  The Internet of Things for Health Care: A Comprehensive Survey , 2015, IEEE Access.

[11]  Jusak Jusak,et al.  Internet of Medical Things for cardiac monitoring: Paving the way to 5G mobile networks , 2016, 2016 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT).

[12]  Satish T. S. Bukkapatnam,et al.  A Low-Cost, Portable, High-Throughput Wireless Sensor System for Phonocardiography Applications , 2012, Sensors.