TY - GEN
T1 - Designing machine-to-machine (M2M) system in health-cure modeling for cardiovascular disease patients
T2 - 3rd International Conference on Information and Communication Technology, ICoICT 2015
AU - Enriko, I. Ketut Agung
AU - Wibisono, Gunawan
AU - Gunawan, Dadang
PY - 2015/8/31
Y1 - 2015/8/31
N2 - Cardiovascular disease (coronary heart, high blood pressure, cardiac arrhythmia, and other cardio/vascular problems) is one of the main death cause in the world. In developing country like Indonesia, the situation is worse due to lack of physicians to serve the patients. Based on these facts, we need new innovations to improve the life expectancy of cardiovascular disease patients, with help of machine-to-machine (M2M) technology. This research aims to develop a health monitoring system (healthcare) and medication recommendation (health-cure) for cardiovascular patients who stay at home. Patient's vital signs (heart rate, blood pressure, and heart rhythm) will be monitored through sensors, which will report to M2M server. Then the server will give medication recommendation automatically using one of artificial intelligence (AI) technique called Case-Based Reasoning, based on several medical records from hospitals and other references. Physician/hospital will be involved as supervisor/advisor in this project since we deal with serious disease which may threaten patient's life.
AB - Cardiovascular disease (coronary heart, high blood pressure, cardiac arrhythmia, and other cardio/vascular problems) is one of the main death cause in the world. In developing country like Indonesia, the situation is worse due to lack of physicians to serve the patients. Based on these facts, we need new innovations to improve the life expectancy of cardiovascular disease patients, with help of machine-to-machine (M2M) technology. This research aims to develop a health monitoring system (healthcare) and medication recommendation (health-cure) for cardiovascular patients who stay at home. Patient's vital signs (heart rate, blood pressure, and heart rhythm) will be monitored through sensors, which will report to M2M server. Then the server will give medication recommendation automatically using one of artificial intelligence (AI) technique called Case-Based Reasoning, based on several medical records from hospitals and other references. Physician/hospital will be involved as supervisor/advisor in this project since we deal with serious disease which may threaten patient's life.
KW - Artificial intelligence
KW - Biomedical monitoring
KW - Medical diagnostic imaging
KW - Medical services
KW - Monitoring
KW - Sensors
KW - Servers
UR - http://www.scopus.com/inward/record.url?scp=84960517492&partnerID=8YFLogxK
U2 - 10.1109/ICoICT.2015.7231480
DO - 10.1109/ICoICT.2015.7231480
M3 - Conference contribution
AN - SCOPUS:84960517492
T3 - 2015 3rd International Conference on Information and Communication Technology, ICoICT 2015
SP - 528
EP - 532
BT - 2015 3rd International Conference on Information and Communication Technology, ICoICT 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 May 2015 through 29 May 2015
ER -