In order to improve the accuracy of blood pressure measurement in wearable devices, this paper presents a method for detecting blood pressure based on multiple parameters of pulse wave. Based on regression analysis between blood pressure and the characteristic parameters of pulse wave, such as the pulse wave transit time (PWTT), cardiac output, coefficient of pulse wave, the average slope of the ascending branch, heart rate, etc. we established a model to calculate blood pressure. For overcoming the application deficiencies caused by measuring ECG in wearable device, such as replacing electrodes and ECG lead sets which are not convenient, we calculated the PWTT with heart sound as reference (PWTT(PCG)). We experimentally verified the detection of blood pressure based on PWTT(PCG) and based on multiple parameters of pulse wave. The experiment results showed that it was feasible to calculate the PWTT from PWTT(PCG). The mean measurement error of the systolic and diastolic blood pressure calculated by the model based on multiple parameters of pulse wave is 1.62 mm Hg and 1.12 mm Hg, increased by 57% and 53% compared to those of the model based on simple parameter. This method has more measurement accuracy.
Blood Pressure ; Blood Pressure Monitoring, Ambulatory ; Cardiac Output ; Electrocardiography ; Heart Rate ; Heart Sounds ; Humans ; Pulse Wave Analysis ; Regression Analysis

Objective To explore the integration of the digital imaging medical records system and the hospital information system ( HIS), for a hospital-wide information platform for digital medical records management. Methods All the medical records were classified as " to copy and not to copy" by sampling, and an item corresponding table was developed for both HIS medical record files and imaging records copying types. The imaging copying system for paper-based medical records only covers those must-copy ones, while those medical record files without need to be copied were directly transcoded via the interface to the imaging medical records system from the HIS system. This makes digital imaging medical records complete. Results The digital imaging medical record system is thus integrated, and the cost of making imaging medical records was sizably reduced without compromising the quality and integrity of medical records. Conclusions Imaging medical records produced by copying paper-based ones are integrated with those directly sent via the interface to the imaging medical records system, forming complete digital imaging records, at a much lower cost.