Using a blood pressure harmonic variability index to monitor the cerebral blood flow condition in stroke patients

Chen, Chao-Tsung; Huang, Shih-Min A.; Hsiu, Hsin; Hsu, Wei-Chen; Lin, Feng-Cheng; Lin, Hung Wen

doi:10.3233/bir-2011-0593

Cited by 12 publications

(9 citation statements)

References 29 publications

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“…Different diseases can lead to different harmonic distributions in hemodynamics. In previous studies, stroke patients had significant amplitude changes in the 2nd, 5th, 6th, and 7th harmonics (Chen et al, 2011 ). Patients with liver cirrhosis had significant changes in the 1st, 3rd, and 6th harmonics (Lu et al, 1999 ).…”

Section: Discussionmentioning

confidence: 85%

Characteristics of Harmonic Indexes of the Arterial Blood Pressure Waveform in Type 2 Diabetes Mellitus

Liao

Tsai

Lin

et al. 2020

Front. Bioeng. Biotechnol.

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Type 2 diabetes mellitus (T2DM) is an important public health issue worldwide. T2DM correlates with cardiovascular disease. Arterial stiffness is also a key factor that can be thought of as a surrogate marker. Nevertheless, it was unclear which harmonic indexes of blood pressure waveforms (BPWs) from subjects' radial artery pulses would be affected by T2DM. Therefore, the objective of this study was to investigate whether and how harmonic indexes can be used to discriminate hemodynamic differences between patients with T2DM and non-T2DM. This helps us to build objective results no matter who conducts the examination instead of pulse diagnosis in traditional way. We enrolled T2DM and non-T2DM patients as experimental and control groups, respectively, from the Department of Family Medicine in the National Taiwan University Hospital and the Department of Internal Medicine in Taipei's Veterans General Hospital from December 2017 to January 2019. ANSWatch® Model TS-0411 was used to capture the BPWs. Amplitude proportions (C n values) were calculated from harmonics 1–10 of the BPW using fast Fourier transform. Thirty-two T2DM and 15 non-T2DM patients were enrolled. T2DM patients had significant differences in C 1 ( p = 0.031) and C 5 ( p = 0.041). The study suggests that analyzing the harmonic characteristics of non-invasively measured BPW of radial artery may be a potential and easy-to-perform approach to discriminate T2DM-induced hemodynamic changes.

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Section: Discussionmentioning

confidence: 85%

Characteristics of Harmonic Indexes of the Arterial Blood Pressure Waveform in Type 2 Diabetes Mellitus

Liao

Tsai

Lin

et al. 2020

Front. Bioeng. Biotechnol.

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“…Since different diseases could cause damage to different local vascular beds (such as changes in diameter or elasticity) that reflect changes in the hydrodynamics of vascular flow detected by harmonic components of arterial BPW, the amplitude distribution of harmonic components may vary from disease to disease. Our previous study reported that changes in the harmonic distribution could be applied to detect arterial elasticity in stroke patients ( 21 ).…”

Section: Discussionmentioning

confidence: 99%

“…A recent study by Uçar et al investigated a low-cost and trustworthy Body Muscle Percentage calculation model based on artificial intelligence algorithms and biomedical signals demonstrating that PPG-based models can be used to predict body muscle percentage and consequently sarcopenia ( 34 ). Furthermore, studies of the variability of harmonics in the BPW spectrum (BPHV) have analyzed the effects of diseases (such as stroke, polycystic ovary syndrome, and metabolic syndrome) on the cardiovascular system in patients compared with healthy subjects ( 21 , 35 , 36 ).…”

Section: Discussionmentioning

confidence: 99%

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Characteristics of sarcopenia subjects in arterial pulse spectrum analysis

Young

Hsiu

et al. 2022

Front. Public Health

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AimsSarcopenia is significantly associated with the number of cardiovascular and metabolic diseases, however, the underlying pathophysiological processes are largely unknown. This study performed harmonic index of finger photoplethysmography (PPG) waveforms with the aims of distinguishing different arterial pulse waveform signals between sarcopenia, presarcopenia, dynapenia, and healthy subjects.MethodsSixty-eight subjects were enrolled and obtained 1-min PPG signals, then were assigned to four age-matched groups: control, dynapenia, presarcopenia, and sarcopenia which definition according to Asian Working Group for Sarcopenia (AWGS): 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. Harmonics 1–10 of the PPG waveform were obtained and calculated each of the amplitude proportions (Cn), standard deviations (SDn), coefficients of variations (CVn), and vascular elasticity index (VEI) for to evaluating the blood-pressure harmonic variability.ResultsThe prevalence of sarcopenia in women gender (8 out of 9, 88.9%, p = 0.046) and osteoporosis in dynapenia (7 out of 16, 43.8%, p = 0.005) were significant higher. Among the four groups, compared with control, dynapenia, and presarcopenia, sarcopenia had largest SDn-values for harmonics 1, 2, 3, and 5 (ratio 1, 2, 3, 5 = 0.354, 0.209, 0.137, 0.074); whereas sarcopenia had largest coefficients of variations (CVn) values for harmonics 1, 2, 3 and 10 (ratio 1, 2, 3, 10 = 0.263, 0.310, 0.402, 0.791). Besides, the Δ odds ratio of ratio 3, 4,and 6 tertile values were significantly increased in sarcopenia and possible sarcopenia group compared with control group. Subjects with sarcopenia had significantly higher VEI in mean, SD, and CV of the PPG waveform (mean = 2.332, SD = 1.479, CV = 0.634, p = 0.007) among the groups and the results of binary logistic regression analysis in the tertiles met statistical significance between the sarcopenia and non-sarcopenia groups whether adjusted or unadjusted (adjusted odds ratio 6.956, p = 0.030, unadjusted odds ratio 3.937, p = 0.039).ConclusionsThe elasticity of vessels among sarcopenia groups in lower-frequency components of harmonic ratio in which we defined as VEI showed a significantly highest VEI mean, SD, and CV in sarcopenia indicates the poorer elasticity of the arteries. The present findings showed finger PPG waveform measurements may be useful for early detection of vascular diseases with patients with sarcopenia in a non-invasive and easy-to-perform technique which may expand the clinical applicability in the future.

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“…In frequency-domain BPW analysis, it has been suggested that individual vascular beds exert independent, frequency-specific, and linearly additive effects on the peripheral pressure wave, and hence that harmonic analysis of the BPW could elucidate the physical status of specific vascular beds [11]. This illustrates the possible relation between harmonic components within BPW and the peripheral blood supply [2], [12]- [14].…”

Section: Discussionmentioning

confidence: 99%

Correlation of Harmonic Components between the Blood Pressure and Photoplethysmography Waveforms Following Local-Heating Stimulation

Hsiu¹,

Hsu²,

Chen³

et al. 2012

IJBBB

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Using a blood pressure harmonic variability index to monitor the cerebral blood flow condition in stroke patients

Cited by 12 publications

References 29 publications

Characteristics of Harmonic Indexes of the Arterial Blood Pressure Waveform in Type 2 Diabetes Mellitus

Characteristics of Harmonic Indexes of the Arterial Blood Pressure Waveform in Type 2 Diabetes Mellitus

Characteristics of sarcopenia subjects in arterial pulse spectrum analysis

Correlation of Harmonic Components between the Blood Pressure and Photoplethysmography Waveforms Following Local-Heating Stimulation

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