Title | ||
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Development and clinical study of mobile 12-lead electrocardiography based on cloud computing for cardiac emergency. |
Abstract | ||
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To improve emergency services for accurate diagnosis of cardiac emergency, we developed a low-cost new mobile electrocardiography system "Cloud Cardiology (R)" based upon cloud computing for prehospital diagnosis. This comprises a compact 12-lead ECG unit equipped with Bluetooth and Android Smartphone with an application for transmission. Cloud server enables us to share ECG simultaneously inside and outside the hospital. We evaluated the clinical effectiveness by conducting a clinical trial with historical comparison to evaluate this system in a rapid response car in the real emergency service settings. We found that this system has an ability to shorten the onset to balloon time of patients with acute myocardial infarction, resulting in better clinical outcome. Here we propose that cloud-computing based simultaneous data sharing could be powerful solution for emergency service for cardiology, along with its significant clinical outcome. |
Year | DOI | Venue |
---|---|---|
2013 | 10.3233/978-1-61499-289-9-1077 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
electrocardiography,myocardial infarction,Android,cloud computing | Clinical study,Medical emergency,Electrocardiography,Medicine,Cloud computing | Conference |
Volume | ISSN | Citations |
192 | 0926-9630 | 1 |
PageRank | References | Authors |
0.36 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hideo Fujita | 1 | 1 | 0.69 |
Yuji Uchimura | 2 | 1 | 0.69 |
Kayo Waki | 3 | 14 | 2.85 |
Koji OMAE | 4 | 17 | 2.63 |
Ichiro Takeuchi | 5 | 1 | 0.36 |
Kazuhiko Ohe | 6 | 115 | 15.91 |