Abstract: An instantaneous heartbeat reliability evaluation apparatus includes: extraction means which extracts waveforms having a maximum value corresponding to depolarization of a heart in a biosignal of an examinee; first calculation means which calculates an interval between two waveforms neighboring in a time series; dividing means which divides a signal output from measurement means into signals of predetermined periods; second calculation means which calculates feature quantities of a potential of each divided signal; first evaluation means which evaluates whether a measurement state of each divided signal is normal or abnormal on the basis of feature quantities; and second evaluation means which evaluates measurement states of two neighboring extracted waveforms on the basis of an evaluation result obtained by the first evaluation means and evaluates reliability of a measurement state of the interval between the waveforms depending on a type of the evaluated measurement states of the waveforms.

Abstract: A living body guidance device includes: a measurement unit 1 that measures biometric information of a user; a stimulus unit 2 that is installed in contact with the user's body and presents a tactile stimulus to the user; a database unit 3 that has a relationship between the tactile stimulus presented by the stimulus unit and the biometric information according to the tactile stimulus recorded; an input unit 4 that sets target biometric information which is target biometric information that is desired of the user to realize; and a control unit 7 that, when there is a difference between current biometric information which is current biometric information of the user estimated based on the measurement result by the measurement unit and the target biometric information, controls the tactile stimulus presented by the stimulus unit so that the difference is reduced, so as to guide the user so that the current biometric information approaches the target biometric information, based on the relationship recorded in th

Abstract: A time feature value calculation apparatus according to an embodiment includes an interpolation unit (182) and a time feature value calculation unit (183). In accordance with a variability tendency of a biological signal exhibited in time-series data of the biological signal resulting from an abnormality value process performed to eliminate an abnormality value from the biological signal in response to an input of the biological signal having periodicity, the interpolation unit interpolates a missing value in the biological signal in the time-series data of the biological signal resulting from the abnormality value process. The time feature value calculation unit calculates a time feature value focusing on the variability tendency of the biological signal measured over an arbitrary time period, from the interpolated time-series data of the biological signal.

Abstract: A monetary risk prediction apparatus according to an embodiment includes: a predictive model recording unit that records a predictive model to predict time-series data showing a future asset amount of a user; and prediction means for receiving evaluation data that is time-series data including an asset amount and a numeric value showing a health condition of the user, inputting the evaluation data to the predictive model recorded on the predictive model recording unit, and outputting the time-series data showing the future asset amount of the user predicted by the predictive model according to the input.

Abstract: A data processing device that makes effective use of a data group containing missing data is provided. A series of learning data containing missing data is acquired, and a representative value of data and a validity ratio representing a proportion of valid data being present are calculated from the series of learning data according to a predefined unit of aggregation. Then, learning of an estimation model is performed so as to minimize an error which is based on a difference between an output resulting from inputting the representative value and the validity ratio to the estimation model, and the representative value. Also, a series of estimation data containing missing data is acquired, and a representative value of data and a validity ratio representing a proportion of valid data being present are calculated from the series of estimation data according to a predefined unit of aggregation.

Abstract: An object of an aspect of the present invention is to enable estimation of more effective intervention content in order to make a person's health state approximate to an ideal health state, and in a learning phase, measurement values and target values of a health state for a plurality of days in the past are sequentially input to a learning machine configured by a multilayer neural network, and the learning machine is caused to perform learning such that a target achievement expectation value obtained by using a success rate that allows the user's health state to approximate to an ideal health state, continuity that allows the health state approximate to the ideal health state to be maintained, and a target value of the health state to be subsequently recommended and the target achievement expectation value thereof that reflect a temporal change in the health state and a history of interventions until a present time are output.

Abstract: The purpose of the present invention is to accurately identify an appearance position of a desired waveform pattern. A signal feature extraction apparatus extracts a feature peak value of a waveform pattern from an output signal of a feature extraction filter that extracts a waveform pattern of an input signal. A local maximum value detection part 1 stores a time index and a value of the output signal when an absolute value of the output signal is equal to or more than a predetermined threshold value and takes a local maximum value.

Abstract: According to one embodiment of the present invention, sets of medical record data that have a common development order of diseases to be focused on and different times until the diseases develop are selected from medical record data, a feature indicating a health state of a user is extracted from each piece of medical record data constituting the set for each of the sets of the medical record data, the extracted feature is set as training data, a risk score for a co-occurrence or an occurrence of a complication of each of the diseases is calculated based on examination data of a first-year examination and a time until each of the diseases occur, and the risk score is set as correct answer data. At this time, the development risk score is calculated such that a user having a short elapsed time until development has a larger value than a user having a long elapsed time until development.

Abstract: An instantaneous heartbeat reliability evaluation apparatus according to an embodiment includes: extraction means which extracts waveforms having a maximum value corresponding to depolarization of a heart in a biosignal of an examinee; first calculation means which calculates an interval between two waveforms neighboring in a time series; dividing means which divides a signal output from measurement means into signals of predetermined periods; second calculation means which calculates feature quantities of a potential of each divided signal; first evaluation means which evaluates whether a measurement state of each divided signal is normal or abnormal on the basis of feature quantities; and second evaluation means which evaluates measurement states of two neighboring extracted waveforms on the basis of an evaluation result obtained by the first evaluation means and evaluates reliability of a measurement state of the interval between the waveforms calculated by the first calculation means depending on a type o

Abstract: The purpose of the present invention is to reduce leakage of an output signal between band-pass filters and in the time axis direction. A signal input part 1 vectorizes an input signal x(n). An extended impulse response matrix generation part 2 generates an extended impulse response matrix He in which impulse response vectors using impulse response sequences of band-pass filters as elements are extended in the time axis direction. An expansion coefficient calculation part 3 calculates an expansion coefficient vector {circumflex over (?)}y(n) using an input signal vectors ?x(n) and the extended impulse response matrix He. A signal output part 4 outputs at least one of expansion coefficients corresponding to a center vector of the extended impulse response matrix He of the expansion coefficient vector {circumflex over (?)}y(n).

Abstract: The purpose of the present invention is to reduce leakage of an output signal between band-pass filters and in the time axis direction. A signal input part 1 vectorizes an input signal x(n). An extended impulse response matrix generation part 2 generates an extended impulse response matrix He in which impulse response vectors using impulse response sequences of band-pass filters as elements are extended in the time axis direction. An expansion coefficient calculation part 3 calculates an expansion coefficient vector {circumflex over (?)}y(n) using an input signal vectors ?x(n) and the extended impulse response matrix He. A signal output part 4 outputs at least one of expansion coefficients corresponding to a center vector of the extended impulse response matrix He of the expansion coefficient vector {circumflex over (?)}y(n).

Abstract: The purpose of the present invention is to accurately identify an appearance position of a desired waveform pattern. A signal feature extraction apparatus extracts a feature peak value of a waveform pattern from an output signal of a feature extraction filter that extracts a waveform pattern of an input signal. A local maximum value detection part 1 stores a time index and a value of the output signal when an absolute value of the output signal is equal to or more than a predetermined threshold value and takes a local maximum value.