Nursing Activity Sensing Using Mobile Sensors and Proximity Sensors

Tatsuya Isoda, Yasunobu Nohara, Sozo Inoue, Mako Shirouzu, Yasuhiko Sugiyama, Mari Hirata, Kyoko Machida, Naoki Nakashima,
The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS)
(Not Available)
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Hawaii, USA.
In recent years, big data are utilized in many indus- tries. In this study, in order to analyze duties of the nurses, we performed experiments to collect the du- ties activity data of the nurses for a long term. We set 38 nurses as subjects and asked them to carry out duties while attaching a wearable small sensor device, and collected the acceleration data, meeting informa- tion between nurses and the nurse duties information. In addition, we collected the location information of the nurses by using infrared information and communi- cation equipment at the same time. From various data collected, we analyzed intensity and positional informa- tion of duties activity of the nurse, meeting information and the duties information between nurses and consid- ered the influence that each factor affected to the nurse. As the result, we found that intensity of the activity in- creases in such nurses as who has many times of meeting with other nurses, visits the patient room many times, or who works on jobs concerning with the assistance of the patients such as rehabilitation assistance duties or the activity assistance duties.

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