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  6. Analysis of Biological Signals Using Excel - Electrocardiogram, Pulse Wave, Blood Pressure

Analysis of Biological Signals Using Excel - Electrocardiogram, Pulse Wave, Blood Pressure

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ISBN978-4-86043-666-7

last updated:Jul 29, 2020

エヌ・ティー・エス
エヌ・ティー・エス
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You can achieve this much in Microsoft Excel without purchasing expensive software, using only spreadsheets, built-in functions, and analysis tools, without using macros!

◇Important biological signals for objectively measuring comfort, healing, stress, and fatigue. ◇Surprisingly insightful analysis results can be obtained using Microsoft Excel without purchasing expensive software. ◇This can be achieved using only spreadsheet functions, built-in functions, and analysis tools, without macros! ◇Download approximately 930,000 sample data points from Excel and put it into practice immediately!

    Analysis and prediction systemOther analytical equipmentScientific Calculation and Simulation Software
Excel生体信号(トリミング済).jpg

Analysis of Biological Signals Using Excel - Electrocardiogram, Pulse Wave, Blood Pressure

Excel生体信号(トリミング済).jpg
Excel生体信号(トリミング済).jpg
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Publication Date: July 2020 Price: 18,000 yen (excluding tax) Format: B5 size, 120 pages Publisher: NTS Corporation ISBN: 978-4-86043-666-7 Author: Shinji Miyake (Professor Emeritus, University of Occupational and Environmental Health) ■Main Contents Chapter 1: Spectral Analysis of Heart Rate Variability Chapter 2: Time Domain Analysis of Heart Rate Variability Chapter 3: Pulse Wave Chapter 4: Blood Pressure Chapter 5: Estimation of Baroreceptor Reflex Sensitivity Chapter 6: 1/f Fluctuation ■Sample Data: Approximately 930,000 points - Electrocardiogram (ECG): 5 minutes - Electrocardiogram (ECG): 10 seconds - Pulse Wave (PTG): 5 minutes - Pulse Wave (PTG): 10 seconds - Blood Pressure (ABP): 5 minutes - Blood Pressure (ABP): 10 seconds

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Applications/Examples of results

Heart rate variability spectral analysis Electrocardiogram noise Detection of R waves Calculation of R-R intervals Interpolation of R-R intervals Spectral analysis Fourier analysis Measurement of R wave amplitude Analysis of heart rate variability in the time domain Poincaré plot Sample entropy Nonlinear analysis Pulse wave Pulse wave propagation time Blood pressure Measurement of blood pressure and diastolic blood pressure Estimation of blood pressure from pulse wave propagation time Estimation of baroreceptor reflex sensitivity Physiological significance of baroreceptor reflex sensitivity Calculation of baroreceptor reflex sensitivity 1/f fluctuation Visualization of 1/f fluctuation

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