Abstract: A learning device 1X mainly includes a first acquisition means 31X, a second acquisition means 32X, and a learning means 34X. The first acquisition means 31X acquires a partial waveform of electrocardiogram data regarding an electrocardiogram of a subject. The second acquisition means 32X acquires an attention interval, which is used as a basis for a diagnosis of a target disease, in a sequential waveform of the electrocardiogram data. The learning means 34X trains a model configured to diagnose the target disease, based on the partial waveform and the attention interval.

Abstract: A lung sound analysis system includes an acquisition means for acquiring time-series acoustic signals including lung sounds of a heart failure patient, a detection means for detecting abnormal lung sounds from the acquired time-series acoustic signals, an observation acquisition means for transmitting, to a terminal device of a medical specialist, analysis object lung sound information in which the acquired time-series acoustic signals and a result of the detection are associated with each other, and receiving, from the terminal device, analysis object lung sound information to which an observation by the medial specialist on the time-series acoustic signals is added, and a generation means for generating learning data for detecting abnormal lung sounds on the basis of the analysis object lung sound information to which the observation by the medial specialist is added.

Abstract: An analysis device includes a detection unit that detects abnormality in lung sounds for each of auscultation positions on the basis of time-series acoustic signals including lung sounds of each of the auscultation positions; a determination unit that determines severity of heart failure of a patient on the basis of a detection result of abnormality in the lung sounds of each of the auscultation positions detected by the detection unit and condition information representing a condition of the patient; and an output unit that decides whether or not to output predetermined information to an external device on the basis of a result of determination by the determination unit, and performs output corresponding to a result of decision.

Abstract: A lung sound analysis system includes a storage means for storing therein the history of auscultation observations on lung sound data of each of auscultation positions of a subject who is a heart failure patient, a calculation means for calculating appearance frequency of abnormal sounds for each of the auscultation positions on the basis of the history, a determination means for determining the sequence of the auscultation positions at which lung sounds are to be auscultated from the subject, on the basis of the calculated appearance frequency, and an acquisition means for giving guidance on the auscultation positions of the subject to an operator according to the determined sequence, and acquiring time-series acoustic signals including lung sounds from a guided auscultation position.

Abstract: An analysis device includes a detection unit that detects abnormality in lung sounds for each of auscultation positions on the basis of time-series acoustic signals including lung sounds of each of the auscultation positions; a determination unit that determines severity of heart failure of a patient on the basis of a detection result of abnormality in the lung sounds of each of the auscultation positions detected by the detection unit and condition information representing the condition of the patient; and a decision unit that decides an instruction to be output to the patient on the basis of a result of the determination by the determination unit.

Abstract: A lung sound analysis system includes an acquisition means for acquiring time-series acoustic signals including lung sounds of a subject who is a heart failure patient, a determination means for determining a pause phase of breathing of the subject, a dividing means for dividing the time-series acoustic signals into those in a period of the pause phase of breathing of the subject and those in a period other than the pause phase, according to a result of the determination, and a detection means for detecting abnormality in the lung sounds from the time-series acoustic signals in the period other than the pause phase after the division.

Abstract: A lung sound analysis system includes an acquisition means for acquiring time-series acoustic signals including lung sounds of a subject who is a heart failure patient, a determination means for determining a pause phase of breathing of the subject, a dividing means for dividing the time-series acoustic signals into those in a period of the pause phase of the subject and those in a period other than the pause phase, according to a result of the determination, a calculation means for calculating an index value representing the quality of the time-series acoustic signals in the period other than the pause phase, from the intensity of the time-series acoustic signals in the period of the pause phase and the intensity of the time-series acoustic signals in the period other than the pause phase after the division, and a warning means for giving warning based on the calculated index value.