Blood pressure meter, blood pressure measurement method, blood pressure measurement program, trained model construction method, and trained model construction program

A blood pressure measurement method comprising:

• detecting, by a computer, cuff pressure received by a cuff to be wrapped around an arm of a subject to be measured from the arm;
• acquiring, by the computer, based on the cuff pressure, a first waveform indicating a time-series change in a feature value related to blood pressure of the subject to be measured and decomposing the first waveform into a plurality of second waveforms indicating two or more different feature values;
• measuring, by the computer, the blood pressure of the subject to be measured by inputting the plurality of second waveforms into a trained model constructed by machine learning in which the second waveform for a test subject is used as an explanatory variable and blood pressure actually measured by auscultation is used as an objective variable;
• and
• outputting, by the computer, the blood pressure measured in the measuring.

A non-transitory computer readable medium storing a blood pressure measurement program for causing a computer to execute:

• detecting cuff pressure received by a cuff to be wrapped around an arm of a test subject from the arm;
• acquiring, based on the cuff pressure, a first waveform indicating a time-series change in a feature value related to blood pressure of the subject to be measured and decomposing the first waveform into a plurality of second waveforms indicating two or more different feature values;
• measuring the blood pressure of the subject to be measured by inputting the plurality of second waveforms into a trained model constructed by machine learning in which the second waveform is used as an explanatory variable and blood pressure actually measured by auscultation is used as an objective variable;
• and
• outputting the blood pressure measured in the measuring.