1.Design of Pulse Signal Acquisition System of Adaptive Wide Dynamic Range Based on ADS125H02.
Rou WU ; Jilun YE ; Xu ZHANG ; Jie LIU ; Maojie YUAN ; Bin WEN
Chinese Journal of Medical Instrumentation 2021;45(3):284-287
In order to solve the problem of wide input range of photocurrent, aiming at the shortage of existing pulse signal acquisition system, an adaptive pulse signal acquisition system based on ADS125H02 is designed, which has high collection accuracy, low noise, anti-interference, wide input range, high integration, etc. The measurement range of the system can reach ±10 V, and the accuracy is 0.009 μV. Experimental tests show that the design of the system can extract weak pulse signals, and has good practicality.
Heart Rate
2.QRS complex.
International Journal of Arrhythmia 2017;18(2):96-99
The QRS complex is a group of waves in the electrocardiogram (ECG), and represents ventricular activation. It usually consists of three wave forms. The Q wave is an initial negative wave at the onset of the QRS complex. The R wave is the first positive wave in the QRS complex, and appears at the onset of the QRS complex or following a Q wave. The S wave is a second negative wave in the QRS complex. The morphology of the QRS complex is useful in interpreting a 12-lead ECG because it provides clinical information regarding heart rate, QRS axis, heart position, rotation, and abnormal conduction in the ventricles.
Electrocardiography
;
Heart
;
Heart Rate
3.Abnormal Chaotic and Periodic Heart Rate Dynamics In Uncomplicated Intrauterine Growth Retarded Fetuses.
Myung Kul YUM ; Nam Soo KIM ; Jae Won OH ; Chang Ryul KIM ; Soo Ji MOON ; Jung Hye HWANG ; Moon Il PARK
Korean Journal of Perinatology 1997;8(4):401-407
No abstract available.
Fetus*
;
Heart Rate*
;
Heart*
4.A Comparative Analysis of Heart Rate Variability of Electrocardiogram and Pulse-wave Using Time Series.
Nag Hwan KIM ; Eun Sil LEE ; Hong Ki MIN ; Eung Huk LEE ; Seung Hong HONG
Journal of Korean Society of Medical Informatics 2000;6(4):165-173
The estimation of power spectrum based on the heart rate variability is studied to evaluate the variation of the tension and physiological workloads by the activity of the autonomic system as evaluation parameter. In this paper, we made an attempt to apply the pulse wave to estimate the variation of physiological condition quantitatively instead of the evaluation of power spectrum of HRV through electrocardiogram in the past by comparing and analyzing time series data for the similarity of the heart rate of electrocardiogram and pulse wave. For the similarity of two signals, we can get the likeness by calculating an average, a variance, a correlation coefficient, and the power peak and the shape of power spectral density from the time series data. In the experimental result, it is shown that same subject have a similar variation of time series and power spectrum density for electrocardiogram and pulse wave. As a result, it is expected to estimate a change of the tension and physical condition quantitatively through the evaluation of a power ~pectrum of HRV by Pulse Wave in the future.
Electrocardiography*
;
Heart Rate*
;
Heart*
5.The Clinical Applicability of Power Spectral Analysis of Heart Rate Variability in the Initial Phase of Hemorrhagic Shock.
Sang Won CHUNG ; Yoo Sang YOON ; Yoo Sun KIM ; Seung Ho KIM ; Hahn Shick LEE ; Hoon Sang CHI
Journal of the Korean Society of Emergency Medicine 2000;11(1):44-53
No abstract available.
Heart Rate*
;
Heart*
;
Shock, Hemorrhagic*
6.Nonlinear Data Presentation Method for Chaotic Analysis of Heart Rate.
Journal of Korean Society of Medical Informatics 2003;9(2):93-100
Strange attractor can be constructed from time series data such as heart sound. In the area of the recognition and diagnosis problem, signal presentation method is very important because good features can be detected from good presentation. This paper discusses a way to extract a cycle from strange attractor and introduce new attractor construction method using autocorrelation value of the heart rate. The result shows well-formed attractor and good ability for extraction features. Largest Lyapunov Exponent is used to check whether the attractors provide distinguish abilities among different types of heart rate. The result shows good points that can be applied to some areas of human signal processing.
Diagnosis
;
Heart Rate*
;
Heart Sounds
;
Heart*
;
Humans
7.Application of heart rate mathematical analysis for body functional state evaluation
Journal of Practical Medicine 2002;435(11):44-48
Statistical analysis of 100 successive RR interval time in ECG, mean heart rate was carried out in 3 groups. The 1st group consisted of 23 healthy men, aged 19.3. The 2nd group consisted of 8 men, aged 21,6 and suffered from inconciousness during working time. The 3rd group consisted of 6 men, aged 19.2 with bad occupational adaptation. Results: heart rate index of 2nd and 3rd groups at rest clearly represented functional strain in comparison with that of 1st group were decreased, mean HR and SI were increased. After 30 and 60 minutes of stricly standing, all index of 3 groups were significantly greater than that at rest, but the index variation of the 1st group were higher than in 2nd and 3rd groups.
Analysis
;
Heart Rate
;
physiology
8.Analysis on ebb-flow of ying-qi.
Chinese Acupuncture & Moxibustion 2005;25(1):49-52
OBJECTIVETo analyze and evaluate practical significance of the ebb-flow theory of ying-qi.
METHODSBased on The Yellow Emperior's Internal Classic, the comparisons of the number of channels, collaterals and their bone-length measurement participating in ebb-flow of ying-qi, ying-qi ebb-flow theory with the practically respiratory-pulse ratio, human heart rate and pulse rate, human respiratory times, ying-qi ebb-flow theory with early channel theory, ying-qi ebb-flow theory with degrees of whole day, were tested and verified.
CONCLUSIONPractically, the ying-qi ebb-flow theory conforms few to human body, which possibly is an assumption of the ancients.
Heart Rate ; Humans ; Qi
9.Portable Pulse Detection System Based on IoT.
Qijun DAI ; Yuping ZHAO ; Qianqian WANG ; Tao LYU ; Yulin SUN ; Hufei DUAN ; Meili LIU ; Jinna YANG ; Honghao WANG
Chinese Journal of Medical Instrumentation 2021;45(2):125-130
Aiming at the current situation of high cost, huge volume, complex operation and difficulty in real application of pulse analyzer, this study designs and implements a portable pulse detection system based on IoT. The design utilizes Raspberry Pi 3B+, STM32 series MCU and cloud server to collect, store, display and recognize pulse signals at CUN, GUAN and CHI. The system is small in size and low in cost, which can be connected with cloud server through network to make full use of resources. The experimental results show that the recognition accuracy of the main feature points of the pulse signal by the portable pulse analyzer is higher than 97%, which has a broad prospect of development and application.
Computers
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Heart Rate
10.Fast Separation Method of Continuous Recording Data in Dynamic Electrocardiogram Database.
Xiaoling YANG ; Ming HAN ; Jin LI
Chinese Journal of Medical Instrumentation 2021;45(4):442-445
The square waves and pulses with obvious porter characteristics are inserted into each different adjacent existing dynamic electrocardiogram data to solve the time-consuming problem in the currently used manual input verification method. The standard database files are converted into analog siginals, then output automatically to the ECG acquisition device according to the sequence of the database files in one time. The data recorded in the acquisition equipment is separated according to the interval data protocol, so as to achieve the purpose of rapid digital examination of dynamic electrocardiogram.
Electrocardiography
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Heart Rate
;
Humans