Hyuma Watanabe

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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(More)
Heart disease has the second high mortality rate behind cancer in Japan, and requires quick treatment. To take a part in emerging mHealth, the authors developed a wearable electrocardiographic (ECG) monitoring and alerting system " iHeart ". iHeart continuously monitors patient's ECG in his/her daily activities and issues an alert to the patient as well as(More)
The aim of this work is to find a general framework for making decision from large and complex dynamic data, where all the influencing attributes are not known, and some of the available, apparently relevant, attributes could really be irrelevant. Some examples are: various diagnostic data from patient monitoring system, data from financial market, or the(More)
Hadoop is a distributed processing platform for analyzing a large amount of data. It uses MapReduce framework for distributed parallel processing where reduce computation uses all the relevant map computation results obtained in other nodes, thus needs massive amounts of data transfer between nodes. This paper explores how such interdependence between nodes(More)
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