Literature DB >> 8315811

Spectral analysis of radial pulse in patients with acute, uncomplicated myocardial infarction.

C Y Chen1, W K Wang, T Kao, B C Yu, B C Chiang.   

Abstract

The aim of this study was to examine the frequency spectrum of arterial pulses in 17 patients with acute, uncomplicated myocardial infarction. Recordings of right radial pulses were taken from these patients immediately after their arrival at the emergency room. This information was considered as baseline data and was monitored at the same time each day for up to 7 days. These serial recordings of radial pulses were then analyzed together with recordings from 3 control groups of patients not suffering from myocardial infarction. These included subjects who underwent coronary arteriography (n = 24), coronary angioplasty (n = 18), and mitral valvuloplasty (n = 13). The method of analysis involved a discrete Fourier transformation of radial pulses recorded from an external pulsation transducer to obtain "power spectra" for pulse waves. There was no significant change in the power spectrum for each of the 3 control groups although significant clinical and hemodynamic improvement was observed in the coronary angioplasty and mitral valvuloplasty patients. In sharp contrast, the intensity of the frequency moduli C2 and C3 in the target group fell on arrival at the emergency room and then gradually increased while the average pulse energy (frequency modulus C0) decreased simultaneously with stable recovery from the acute myocardial infarction. In order to investigate the changes in C2 and C3 in the target group, the effective renal plasma flow (ERPF) was first determined for 10 of the 17 patients using intravenous I-131 labelled iodo-ortho-hippurate. A second reading was taken a week later. Eight of the 10 patients were found to have a relatively "higher" ERPF at the onset of acute myocardial infarction with an average reading of 450.1 +/- 168.9 ml/min, compared with the data obtained a week later (374.1 +/- 130.4 ml/min, p < 0.02). An inverse correlation existed between the percentage of "initial drop" in frequency moduli C2 and C3 in the power spectra of the radial pulses and the percentage of "initially higher" ERPF (r = -0.66 and -0.70, respectively, p < 0.05). It is concluded that there was a specific change in the power spectrum of the radial pulses which were recorded and analyzed noninvasively in patients with acute, uncomplicated myocardial infarction. Changes in the ERPF may exert an influence on the frequency moduli C2 and C3 of the power spectra of the radial pulses after heart attack, suggesting that the aorta and the closely organs may cause coupled oscillation. Theoretically this structure is equivalent to a resonance circuit.

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Year:  1993        PMID: 8315811     DOI: 10.1536/ihj.34.131

Source DB:  PubMed          Journal:  Jpn Heart J        ISSN: 0021-4868


  7 in total

1.  Development of a Standard Protocol for the Harmonic Analysis of Radial Pulse Wave and Assessing Its Reliability in Healthy Humans.

Authors:  Chi-Wei Chang; Jiang-Ming Chen; Wei-Kung Wang
Journal:  IEEE J Transl Eng Health Med       Date:  2015-10-14       Impact factor: 3.316

2.  Harmonic analysis of noninvasively recorded arterial pressure waveforms in healthy bonnet macaques (Macaca radiata).

Authors:  Oladipupo Olafiranye; Louis Salciccioli; Haroon Kamran; Mark Stewart; John Carter; Jason M Lazar
Journal:  J Am Assoc Lab Anim Sci       Date:  2011-01       Impact factor: 1.232

3.  Radial Pulse Spectrum Analysis as Risk Markers to Improve the Risk Stratification of Silent Myocardial Ischemia in Type 2 Diabetic Patients.

Authors:  Chi-Wei Chang; Kuo-Meng Liao; Ying-Chun Chen; Sheng-Hung Wang; Ming-Yie Jan; Gin-Chung Wang
Journal:  IEEE J Transl Eng Health Med       Date:  2018-09-20       Impact factor: 3.316

4.  The First Harmonic of Radial Pulse as an Early Predictor of Silent Coronary Artery Disease and Adverse Cardiac Events in Type 2 Diabetic Patients.

Authors:  Chi-Wei Chang; Kuo-Meng Liao; Yi-Ting Chang; Sheng-Hung Wang; Ying-Chun Chen; Gin-Chung Wang
Journal:  Cardiol Res Pract       Date:  2018-10-23       Impact factor: 1.866

5.  Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals.

Authors:  Zeng-Ding Liu; Ji-Kui Liu; Bo Wen; Qing-Yun He; Ye Li; Fen Miao
Journal:  Sensors (Basel)       Date:  2018-12-02       Impact factor: 3.576

6.  Risk assessment of macrovascular and microvascular events in patients with type 2 diabetes by analyzing the amplitude variation of the fourth harmonic component of radial pulse wave.

Authors:  Kuo-Meng Liao; Chi-Wei Chang; Sheng-Hung Wang; Yi-Ting Chang; Ying-Chun Chen; Gin-Chung Wang
Journal:  Physiol Rep       Date:  2019-10

7.  Quantitative analysis of sensor for pressure waveform measurement.

Authors:  Shing-Hong Liu; Chu-Chang Tyan
Journal:  Biomed Eng Online       Date:  2010-01-21       Impact factor: 2.819

  7 in total

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