Analysis of Pulse Signals Based on Array Pulse Volume / 中国结合医学杂志

OBJECTIVE@#To collect and analyze multi-dimensional pulse diagram features with the array sensor of a pressure profile system (PPS) and study the characteristic parameters of the new multi-dimensional pulse diagram by pulse diagram analysis technology.@*METHODS@#The pulse signals at the Guan position of left wrist were acquired from 105 volunteers at the Shanghai University of Traditional Chinese Medicine. We obtained the pulse data using an array sensor with 3×4 channels. Three dimensional pulse diagrams were constructed for the validated pulse data, and the array pulse volume (APV) parameter was computed by a linear interpolation algorithm. The APV differences among normal pulse (NP), wiry pulse (WP) and slippery pulse (SP) were analyzed using one-way analysis of variance. The coefficients of variation (CV) were calculated for WP, SP and NP.@*RESULTS@#The APV difference between WP and NP in the 105 volunteers was statistically significant (6.26±0.28 vs. 6.04±0.36, P=0.048), as well as the difference between WP and SP (6.26±0.28 vs. 6.07±0.46, P=0.049). However, no statistically significant difference was found between NP and SP (P=0.75). WP showed a similar CV (4.47%) to those of NP (5.96%) and SP (7.58%).@*CONCLUSION@#The new parameter APV could differentiate between NP or SP and WP. Accordingly, APV could be considered an useful parameter for the analysis of array pulse diagrams in Chinese medicine.

Measurement and Wireless Data Transmission of Heart Rate Using Pulse Sensor

There is often a need to access heart rate measuring system which provides accurate and quick readings of patients. This paper presents the design of simple heart rate measurement system based on Arduino board which displays and simultaneously transmitting the data to a smartphone via Bluetooth. Here the cardiac activity of the patient is acquired by a pulse sensor and the output of this sensor is transmitted using Bluetooth. By using this system unlike the conventional method, the doctor doesn't need to be present at the time of measuring the heart rate. The system takes the physical input from pulse sensor by placing the patients’ finger on the sensor and then the input is processed by Arduino to count the number of pulses and displaying the output in the smartphone using a Bluetooth application.

Reproducibility of Regional Pulse Wave Velocity in Healthy Subjects

BACKGROUND/AIMS: Despite the clinical importance and widespread use of pulse wave velocity (PWV), there are no standards for pulse sensors or for system requirements to ensure accurate pulse wave measurement. We assessed the reproducibility of PWV values using a newly developed PWV measurement system. METHODS: The system used in this study was the PP-1000, which simultaneously provides regional PWV values from arteries at four different sites (carotid, femoral, radial, and dorsalis pedis). Seventeen healthy male subjects without any cardiovascular disease participated in this study. Two observers performed two consecutive measurements in the same subject in random order. To evaluate the reproducibility of the system, two sets of analyses (within-observer and between-observer) were performed. RESULTS: The means+/-SD of PWV for the aorta, arm, and leg were 7.0+/-1.48, 8.43+/-1.14, and 8.09+/-0.98 m/s as measured by observer A and 6.76+/-1.00, 7.97+/-0.80, and 7.97+/-0.72 m/s by observer B, respectively. Betweenobserver differences for the aorta, arm, and leg were 0.14+/-0.62, 0.18+/-0.84, and 0.07+/-0.86 m/s, respectively, and the correlation coefficients were high, especially for aortic PWV (r=0.93). All the measurements showed significant correlation coefficients, ranging from 0.94 to 0.99. CONCLUSIONS: The PWV measurement system used in this study provides accurate analysis results with high reproducibility. It is necessary to provide an accurate algorithm for the detection of additional features such as flow wave, reflection wave, and dicrotic notch from a pulse waveform.