Blood pressure measuring apparatus, blood pressure measuring method, electronic device, and computer readable storage medium

A blood pressure measuring method, comprising:

• training an Elman neural network to obtain a first trained blood pressure calculation model, comprising:
• training the Elman neural network by taking a plurality of principal component factor matrices acquired within a preset sampling period, and reference values of diastolic blood pressures and reference values of systolic blood pressures which are measured at the same beats as those for the respective principal component factor matrices within the preset sampling period as training samples, so as to obtain the first trained blood pressure calculation model, wherein the principal component factor matrices are obtained by performing differential processing and principal component analysis on electrocardiosignals and blood oxygen volume wave signals;
• acquiring an electrocardiosignal and a blood oxygen volume wave signal of a target object input within a preset measurement period;
• and
• determining beat-wise blood pressure values of the target object within the preset measurement period using the first trained blood pressure calculation model based on the electrocardiosignal and blood oxygen volume wave signal of the target object acquired within the preset measurement period.

A computer-readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, causes the processor to:

• train an Elman neural network to obtain a first trained blood pressure calculation model, comprising:
• train the Elman neural network by taking a plurality of principal component factor matrices acquired within a preset sampling period, and reference values of diastolic blood pressures and reference values of systolic blood pressures which are measured at the same beats as those for the respective principal component factor matrices within the preset sampling period as training samples, so as to obtain the first trained blood pressure calculation model, wherein the principal component factor matrices are obtained by performing differential processing and principal component analysis on electrocardiosignals and blood oxygen volume wave signals;
• acquire an electrocardiosignal and a blood oxygen volume wave signal of a target object within a preset measurement period;
• and
• determine beat-wise blood pressure values of the target object within the preset measurement period using the first trained blood pressure calculation model based on the electrocardiosignal and blood oxygen volume wave signal of the target object acquired within the preset measurement period.