Abstract | ||
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This paper describes a framework of blood pressure variation factor analysis. We design a system in order to support improving our lifestyle habit. The system classifies subjects into several variation groups in order to evaluate a personal characteristic of blood pressure change. Furthermore, we describe a blood pressure seasonal variation evaluation method by using normalized cross-correlation coefficient between blood pressure and outdoor temperature. As the result, we showed the dependencies among blood pressure, body weight and the temperature. |
Year | DOI | Venue |
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2015 | 10.1109/SMC.2015.419 | 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS |
Keywords | Field | DocType |
blood pressure, blood pressure variation factors, seasonal variation, big data, cross-correlation coefficient | Control theory,Computer science,Blood pressure,Body weight,Statistics,Blood pressure change | Conference |
ISSN | Citations | PageRank |
1062-922X | 0 | 0.34 |
References | Authors | |
4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shoji Higuchi | 1 | 0 | 0.68 |
Hiroshi Nakajima | 2 | 89 | 12.41 |
Naoki Tsuchiya | 3 | 24 | 6.41 |
Yutaka Hata | 4 | 404 | 97.09 |