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31.
公开(公告)号:US20240038347A1
公开(公告)日:2024-02-01
申请号:US18484614
申请日:2023-10-11
Applicant: NEC Corporation
Inventor: Yuji OHNO , Masahiro KUBO
Abstract: A text data generation device 100 includes an acquisition unit 121 that acquires object person information representing time-series physical condition of an object person, an estimation unit 122 that estimates time-series states of the object person on the basis of the object person information, and a generation unit 123 that generates text data representing the state of the object person in a given time period, on the basis of the estimated time-series states of the object person.
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公开(公告)号:US20230335286A1
公开(公告)日:2023-10-19
申请号:US18025460
申请日:2020-09-17
Applicant: NEC Corporation
Inventor: Yuji OHNO , Toshinori HOSOl , Masahiro KUBO
Abstract: A supervisory data generation apparatus 600 includes an acquisition unit 621 configured to acquire body motion data according to a motion of a body of a target and vital data of the target, a calculation unit 622 configured to calculate a body motion score serving as an index for determining an agitation state based on the body motion data acquired by the acquisition unit 621, a determination unit 623 configured to determine whether the target is agitated using the body motion score, and a labeling unit 624 configured to label the vital data based on a result of the determination made by the determination unit 623.
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33.
公开(公告)号:US20230197285A1
公开(公告)日:2023-06-22
申请号:US17768970
申请日:2019-10-31
Applicant: NEC Corporation
Inventor: Masahiro HAYASHITANI , Eiji YUMOTO , Toshinori HOSOI , Masahiro KUBO
Abstract: A patient condition prediction apparatus includes: an acquisition unit that obtains patient data, which are information about a patient; a selection unit that selects one predictive model from a plurality of predictive models for predicting a change in a patient condition that is a condition of the patient, on the basis of the patient data; and a prediction unit that predicts a change in the patient condition in the future by using the one predictive model. This makes it possible to predict a change in the patient condition by using an appropriate predictive model.
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34.
公开(公告)号:US20220398522A1
公开(公告)日:2022-12-15
申请号:US17771909
申请日:2019-11-01
Applicant: NEC Corporation
Inventor: Masahiro HAYASHITANI , Masahiro KUBO
Abstract: A medical facility evaluation apparatus includes: an acquisition unit that obtains a quantitatively measured evaluation information about a medical facility that is a candidate of a transfer destination of a patient; and a calculation unit that calculates a score indicating goodness of fit of the medical facility as the transfer destination with respect to the patient, on the basis of the evaluation information. According to this medical facility evaluation apparatus, scoring based on the quantitatively measured evaluation information makes it possible to find a medical facility with high goodness of fit as a transfer destination of a patient.
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公开(公告)号:US20220351853A1
公开(公告)日:2022-11-03
申请号:US17778118
申请日:2020-09-14
Applicant: NEC Corporation
Inventor: Yuji OHNO , Toshinori HOSOI , Masatake TAKAI , Masahiro KUBO , Shigemi KITAHARA
Abstract: An environment management system, an environment management method, and a program that are capable of reducing the load imposed on a responder are provided. An environment management system includes: a determination unit configured to determine, based on a feature value of biological information of a target patient to be input, identification information indicating a condition of the target patient; an estimation unit configured to estimate environment control information for the target patient based on the identification information and an environment control prediction parameter that has been learned in advance; and an environment control unit configured to automatically change a surrounding environment of the target patient based on the environment control information for the target patient estimated by the estimation unit.
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公开(公告)号:US20220328160A1
公开(公告)日:2022-10-13
申请号:US17761676
申请日:2020-07-29
Applicant: NEC Corporation
Inventor: Yuki KOSAKA , Toshinori HOSOI , Masahiro KUBO , Yuan LUO , Shigemi KITAHARA
Abstract: A rehabilitation work support apparatus, a rehabilitation work support method, and a program capable of reducing a work burden on a therapist are provided. A rehabilitation work support apparatus (1) includes a difference calculation unit (2) and a difference output unit (3). The difference calculation unit (2) calculates, for each type of ability, a difference between a target value for a patient's ability value in rehabilitation and the patient's ability value at a time before a start of the rehabilitation or during the rehabilitation. The difference output unit (3) performs control so as to output information representing the calculated difference for each type of ability.
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37.
公开(公告)号:US20220022819A1
公开(公告)日:2022-01-27
申请号:US17428102
申请日:2019-02-08
Applicant: NEC Corporation
Inventor: Yuji OHNO , Masahiro KUBO , Toshinori HOSOI
Abstract: An internal state identification unit acquires sensor data of a person to be monitored, such as a patient, from a sensor group including one or a plurality of sensors. An identification model is a model for identifying an internal state of the person to be monitored. The identification model is generated using sensor data acquired in the past. The internal state identification unit identifies the internal state of the person to be monitored based on the acquired sensor data and the identification model. A determination unit determines whether or not a condition for generating another identification model is satisfied. A model generation unit generates, when the determination unit determines that the condition is satisfied, an identification model different from the identification model by using the sensor data of the person to be monitored acquired from the sensor group.
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公开(公告)号:US20200373006A1
公开(公告)日:2020-11-26
申请号:US16645248
申请日:2018-09-03
Inventor: Masahiro KUBO , Masahiro HAYASHITANI , Yuji OHNO , Toshinori HOSOI , Shigemi KITAHARA
Abstract: This medical information processing system is provided with: an operation policy input unit which receives a selection of an operation policy defining a plurality of operation policies which can be taken by a hospital as a whole; a model learning unit which refers to a database being managed so as to be accessible in the hospital, and generates, for each selectable operation policy, a maximization model of each operation policy with respect to an environmental change of the hospital; and a behavior optimization unit which, using the maximization model of the operation policy selected by the operation policy input unit, generates decision assistance information for a healthcare worker with respect to each patient that maximizes the overall efficiency of the hospital in accordance with the environmental change of the hospital.
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39.
公开(公告)号:US20200288984A1
公开(公告)日:2020-09-17
申请号:US16086078
申请日:2017-03-17
Applicant: NEC Corporation
Inventor: Tetsuri ARIYAMA , Masahiro KUBO , Katsumi ABE , Ersin ALTINTAS , Yuji OHNO , Takeshi AKAGAWA
Abstract: The purpose of the present invention is to provide a sphygmomanometer that has a high level of measurement accuracy and places a low burden upon a subject whose systolic pressure is being measured. To this end, the sphygmomanometer according to the present invention is characterized by comprising: a cuff pressure and pulse wave detecting unit that detects cuff pressure and pulse waves; and a blood pressure calculating unit that divides pulse waves detected by the cuff pressure and pulse wave detecting unit into a plurality of sections within a specific period, and calculates an estimated value for systolic pressure on the basis of fluctuations in the symmetry of the pulse wave waveform in the plurality of sections, said fluctuations occurring along with variations in the cuff pressure detected by the cuff pressure and pulse wave detecting unit.
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40.
公开(公告)号:US20200258617A1
公开(公告)日:2020-08-13
申请号:US16756637
申请日:2018-09-20
Applicant: NEC CORPORATION
Inventor: Masahiro HAYASHITANI , Masahiro KUBO
Abstract: A first prediction unit 81 predicts a transfer destination of a target patient, based on inputted information on the target patient and a first prediction model for prediction of a transfer destination of a patient. A second prediction unit 82 predicts a treatment completion period of the target patient, based on information on the target patient and a second prediction model for prediction of a treatment completion period of a patient. An acquisition unit 83 acquires facility information including an operation status of each facility. A determination unit 84 determines a facility that satisfies a requirement of a transfer destination from among the facilities, based on the facility information that has been acquired and the transfer destination and the treatment completion period that have been predicted. An output unit 85 outputs a result determined by the determination unit 84.
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