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به عنوان مثال در ResearchGate مقاله ای با عنوان Development of Wearable Heart Disease Monitoring and Alerting System associated with Smartphone مشاهده شد که در گزیده ی آن چنین آمده است:
نوشته اصلی توسط adrianjavad
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مقالات پژوهشگران و متون علمی را با استفاده از ابزارهایی مانند این موارد می توان جست و جو و پیدا نمود:
1- Google Scholar
2- ResearchGate - Share and discover research
3- BookSC - Electronic library
به عنوان مثال در ResearchGate مقاله ای با عنوان Development of Wearable Heart Disease Monitoring and Alerting System associated with Smartphone مشاهده شد که در گزیده ی آن چنین آمده است:
ISBN: 978-1-4577-2038-3
Abstract— Heart disease has the second high mortality rate behind cancer in Japan, and requires quick treatment. To take a part in emerging mHealth, we developed a wearable heart disease monitoring and alerting system “Dentan”. Dentan continuously monitors patient’s ECG in his/her daily activities and issues an alert to the patient as well as surrounding people if it detects abnormal heart behavior. Dentan consists of a wireless ECG sensor and a smartphone to achieve light-weighted, low-cost system that does not degrade the patient’s Quality of Life. In parallel, we developed ECG analysis algorithm to detect R-wave as well as arrhythmia and performed demonstration experiments to validate its effectiveness. We implemented these algorithms in wireless ECG sensor rather than in smartphone to save power consumption of ECG sensor caused by radio communication
Keywords- mHealth; ECG; Telemedical service; Wearable Computing; Smartphone
Abstract— Heart disease has the second high mortality rate behind cancer in Japan, and requires quick treatment. To take a part in emerging mHealth, we developed a wearable heart disease monitoring and alerting system “Dentan”. Dentan continuously monitors patient’s ECG in his/her daily activities and issues an alert to the patient as well as surrounding people if it detects abnormal heart behavior. Dentan consists of a wireless ECG sensor and a smartphone to achieve light-weighted, low-cost system that does not degrade the patient’s Quality of Life. In parallel, we developed ECG analysis algorithm to detect R-wave as well as arrhythmia and performed demonstration experiments to validate its effectiveness. We implemented these algorithms in wireless ECG sensor rather than in smartphone to save power consumption of ECG sensor caused by radio communication
Keywords- mHealth; ECG; Telemedical service; Wearable Computing; Smartphone
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