C036 Usefulness of wavelet-based real-time analysis of blood pressure and heart rate variability

1998 ◽  
Vol 11 (4) ◽  
pp. 56A
Author(s):  
MATSUMOTO
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time ◽  
Time Analysis ◽  
Real Time Analysis

scholarly journals Real‐Time Analysis of the Heart Rate Variability During Incremental Exercise for the Detection of the Ventilatory Threshold

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Yasuyuki Shiraishi ◽  
Yoshinori Katsumata ◽  
Taketaro Sadahiro ◽  
Koichiro Azuma ◽  
Keitaro Akita ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time ◽  
Ventilatory Threshold ◽  
Incremental Exercise ◽  
Time Analysis ◽  
Real Time Analysis

scholarly journals DETERMINATION OF OPTIMAL EXERCISE INTENSITY BASED ON REAL-TIME ANALYSIS OF HEART RATE VARIABILITY DURING EXERCISE

2003 ◽  
Vol 52 (3) ◽  
pp. 295-303 ◽  
Author(s):  
YOSHITAKE OSHIMA ◽  
TOSHIKAZU SHIGA ◽  
TOSHIO MORITANI ◽  
IZURU MASUDA ◽  
TATSUYA HAYASHI ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time ◽  
Exercise Intensity ◽  
Time Analysis ◽  
Real Time Analysis

scholarly journals VARIABILITY OF ARTERIAL PRESSURE AT SHORT-TERM TIME INTERVALS

2019 ◽  
pp. 72-77
Author(s):  
S. M. Zakharov
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Arterial Pressure ◽  
Real Time ◽  
Time Interval ◽  
Short Term ◽  
Time Intervals ◽  
Short Time

The time and spectral analysis of blood pressure signals (BP of systolic, diastolic, pulse) obtained in real time and reflecting the work of the heart at short time intervals is presented. As a time interval, a sequence of one hundred cardiac cycles was chosen. The main parameters of variability are determined. The proposed method of analysis is an analogue of heart rate variability (HRV), based on the study of RR cardiointervals. Spectral analysis of blood pressure signals shows differences in the degree of orderliness or disorder of individual frequencies or the spectrum as a whole. The presented methodology will allow to reveal further features for use in the diagnosis of various pathologies.

scholarly journals Real-time analysis of foetal heart rate patterns using a computer system

1982 ◽  
Vol 20 (2) ◽  
pp. 223-230 ◽  
Author(s):  
Y. Inamoto ◽  
K. Sumimoto ◽  
H. Noto ◽  
T. Terao ◽  
Y. Kawashima
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Computer System ◽  
Foetal Heart Rate ◽  
Foetal Heart ◽  
Time Analysis ◽  
Real Time Analysis

scholarly journals Reproducibility of Heart Rate Variability Revealed by Repeated Measurements during and after Hemodialysis

2019 ◽  
Vol 49 (3) ◽  
pp. 356-363
Author(s):  
Kerstin Deussing ◽  
Ralph Wendt ◽  
Ronald Burger ◽  
Maik Gollasch ◽  
Joachim Beige
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time ◽  
High Frequency ◽  
Low Frequency ◽  
Repeated Measurements ◽  
Autonomous Nervous System ◽  
Short Term ◽  
Real Time Analysis

Background/Aims: Trajectory of heart rate variability (HRV) represents a noninvasive real-time measure of autonomous nervous system (ANS) and carries the capability of providing new insights into the hemodynamic compensation reserve during hemodialysis (HD). However, studies on HRV reproducibility during HD are scarce and did not refer to different reading periods. In this observational study, we aimed to establish the best suited and most reliable and reproducible HRV index in routine HD treatments including different reading rates. Methods: HRV was characterized by standardized mathematical variation expressions of R/R’ intervals: SD of all R/R’ intervals (ms), square root of the root mean square of the sum of all differences between adjacent R/R’ intervals (ms), percentage of consecutive R/R’ intervals that differ by >50 ms (%), low-frequency spectral analysis HRV (LF, expressing sympathetic activity), and high-frequency HRV (HF, expressing parasympathetic activity). To compare robustness of these HRV indices during HD procedures, we compared HRV indices means between different HD sessions and controlled for association with clinical parameters. Results: In 72 HD treatments of 34 patients, we detected the highest reproducibility (89%) of HRV measures when analyzing the low-frequency to high-frequency (LF/HF) ratio in long-term (3 h) readings. Long-term LF/HF was able to discriminate ­between patients with and without heart failure NYHA classes ≥3 (p = 0.009) and type 2 diabetes (p = 0.023). We were unable to study relationships between ANS and intradialytic complications because they did not appear in our cohort. Short-term readings of HRV indices did not show any significance of pattern change during HD. Conclusion: In summary, our data provide evidence for high robustness of long-term LF/HF in analyzing HRV in HD patients using future automated monitoring systems. For short-term analysis, mathematical real-time analysis must evolve.

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

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