A method for predicting blood pressure by fusing calibrated photoplethysmography (PPG) signal data includes obtaining real-time PPG signal data, calibrated PPG signal data, calibrated diastolic blood pressure data, and systolic blood pressure data; using a CNN+ANN model to calculate the relative blood pressure data, and generating an ANN output tensor, according to the calibrated diastolic blood pressure and systolic blood pressure data, and the ANN output tensor, performing blood pressure data calculation and generating a blood pressure tensor; if the predicted type information is a first type, performing a mean value calculation according to the blood pressure tensor, and generating diastolic blood pressure prediction data and systolic blood pressure prediction data; if the predicted type information is a second type, performing data extraction processing on the blood pressure tensor, and generating a diastolic blood pressure prediction data sequence and a systolic blood pressure prediction data sequence.