Information management system and information management server
An information management system and information management technology, applied in informatics, medical informatics, instruments, etc., can solve problems such as real-time monitoring, difficult measurement, and inability to provide regular indicators
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[0052]FIG. 1 shows a first embodiment of the present invention, and is a block diagram of an information management system for health management using a sensor network system (hereinafter referred to as sensor network). In this embodiment, an information management system is shown that predicts a user's weight, which is a health index that cannot be measured frequently, based on biological information that is constantly measured by a sensor worn on the user's body, and issues a warning according to a predetermined condition.
[0053] A wearable sensor (hereinafter, assumed to be a sensor node) 1 is worn on a person's body (for example, wrist, etc.), and constantly measures biological information (pulse, acceleration) and sends it to the base station 3, and at the same time transmits the information received from the base station 3 The information is transmitted to the wearer. The sensor node 1 and the base station 3 are connected by a wireless network 4 such as IEEE802.15.4 (Z...
no. 2 approach
[0168] Fig. 24 is a block diagram showing an information management system according to a second embodiment. The pulse rate calculation unit 155 and the zero-cross counting unit 154 included in the sensor node 1 of the first embodiment described above are moved to the data server 6 in order to reduce the calculation load on the sensor node 1 .
[0169] In addition, the scale 2 directly transmits the measured body weight data to the base station 3, and the power consumption when the sensor node 1 transmits the body weight data is suppressed.
[0170] In the sensor node 1, the pulse rate calculating unit 155 and the zero-cross counting unit 154 shown in FIG. 4 of the above-mentioned first embodiment are removed, and the measurement values of each sensor are converted into digital values by the A / D converters 156 and 157. Afterwards, it is sent to the base station 3 and stored in the waveform table 63 provided in the database 61 of the data server 6 .
[0171] The data serve...
no. 3 approach
[0183] 27 and 28 show the third embodiment, and are examples in which the number of times of zero crossing and the pulse rate are included as explanatory variables of the above-mentioned first embodiment.
[0184] FIG. 27 is a flowchart showing an example in which a part of the process of generating explanatory variables by the explanatory variable generating unit 75 is changed from the flowchart shown in FIG. 22 in the first embodiment. In the following example, an example of creating a multiple regression analysis table 73 for performing multiple regression analysis is shown using body weight data of the past 7 days and explanatory variables (number of zero crossings and pulse rate) in order to learn past weight data. In this case, an example is shown in which the target variable of one week and the explanatory variable of one week are used for prediction, and the sampling period of the number of zero crossings as explanatory variables can be shortened compared with the first...
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