Noninvasive pressure pulse waveform analysis of flow-mediated vasodilation evoked by post-occlusive reactive hyperemia maneuver

Ferreira, Arthur de Sá; Filho, José Barbosa; Cordovil, Ivan; Souza, M.N.

doi:10.1016/j.bspc.2012.03.001

Cited by 8 publications

(4 citation statements)

References 25 publications

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“…Arterial compliance (AC) was estimated by using the three-section transmission-line model and an optimization algorithm [28]. The morphology of the pulse was quantified by using the reflection index (IR 1,2 ) estimated with an optimization algorithm [29]. All above-cited parameters were averaged over the same sequence of 10 heartbeats.…”

Section: Pwamentioning

confidence: 99%

Pulse Waveform Analysis of Chinese Pulse Images and Its Association with Disability in Hypertension

Moura

Ferreira

2016

Journal of Acupuncture and Meridian Studies

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Hypertension affects functional capacity and quality of life. Pulse wave analysis (PWA) quantifies the pulse waveform's propagation and its changes resulting from arterial remodeling. Pulse image analysis (PIA) in traditional Chinese medicine contributes to pattern differentiation and therapeutic intervention. This protocol study evaluates the relationships between the parameters of both PWA and PIA to identify patterns in patients with hypertension and the associations of those patterns with functional capacity. In this observational, cross-sectional study protocol 40 patients were subjected to clinical and laboratorial examinations to assess the risk factors for cardiovascular disease and pattern differentiation. PWA was noninvasively performed at the radial artery to estimate the pulse wave's velocity, arterial compliance, and reflection index. PIA using the "simultaneous pressing" method was performed to assess nine indicators. Handgrip strength and physical activity was assessed as functional outcomes. We hypothesized that interactions between patterns and pulse images affect the PWA parameters and that the functional outcomes are weakly associated with personal, hemodynamic and risk factors for cardiovascular disease. Performing a PIA in patients with hypertension might allow the identification of early target-organ damage, standardization of the PIA based on the PWA, and unification of the pulse diagnosis.

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Section: Pwamentioning

confidence: 99%

Pulse Waveform Analysis of Chinese Pulse Images and Its Association with Disability in Hypertension

Moura

Ferreira

2016

Journal of Acupuncture and Meridian Studies

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“…In our study, peripheral arterial function was tested by the PWA (PWV, AC, and IR 1,2 ). PWV varies in direct proportion to the tension on the arterial wall (26), whilst IR 1,2 is the measurement of pulse wave reflection used to assess total vascular resistance (27). AC is an indicator of arterial stiffness along the path traveled by the pulse wave during its propagation (28).…”

Section: Discussionmentioning

confidence: 99%

Clinical and functional variables can predict general fatigue in patients with acromegaly: an explanatory model approach

Michalski

Ferreira

Kasuki

et al. 2019

Archives of Endocrinology and Metabolism

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Objective To evaluate whether hormonal profile, arterial function, and physical capacity are predictors of fatigue in patients with acromegaly. Subjects and methods: This is a cross-sectional study including 23 patients. The subjects underwent a Modified Fatigue Impact Scale (MFIS) assessment; serum growth hormones (GH) and IGF-1 measurements; pulse wave analysis comprising pulse wave velocity (PWV), arterial compliance (AC), and the reflection index (IR 1,2 ); dominant upper limb dynamometry (DYN); and the six-minute walking distance test (6MWT). Multiple linear regression models were used to identify predictors for MFIS. The coefficient of determination R 2 was used to assess the quality of the models’ fit. The best model was further analyzed using a calibration plot and a limits of agreement (LOA) plot. Results The mean ± SD values for the participants’ age, MFIS, PWV, AC, IR 1,2 , DYN, and the distance in the 6MWT were 49.4 ± 11.2 years, 31.2 ± 18.9 score, 10.19 ± 2.34 m/s, 1.08 ± 0.46 x10 6 cm 5 /din, 85.3 ± 29.7%, 33.9 ± 9.3 kgf, and 603.0 ± 106.1 m, respectively. The best predictive model (R 2 = 0.378, R 2 adjusted = 0.280, standard error = 16.1, and P = 0.026) comprised the following regression equation: MFIS = 48.85 - (7.913 × IGF-I) + (1.483 × AC) - (23.281 × DYN). Conclusion Hormonal, vascular, and functional variables can predict general fatigue in patients with acromegaly.

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“…But the Sine function is less flexible than the Gaussian function in parameter configuration of the amplitude of each wave peaks. de Sá Ferreira et al, [13] modified the pulse waveform of hypertensive subjects and analyzed into a pulse waveform pattern using Gaussian functions. We used four graphs of the Gaussian function to generate the radial artery pulse waveform for increasing realistic pulses and close to the real pattern.…”

Section: Implementation Of the Haptic Force Feedbackmentioning

confidence: 99%

“…1. The pulse waveform pattern: (a) the progressive waveform, (b) the regressive waveformand (c) The pulse waveform[13]…”

mentioning

confidence: 99%

Development of Virtual Pulse Simulation for Pulse Diagnosis Studies

Kandee

Boonbrahm

Tantayotai

2018

Int. J. Interact. Mob. Technol.

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Pulse signals can be used to observe the early sign of patients' health problems. From medical researches, monitoring the characteristic of arterial pulse waveform shows some risk indicator of specific diseases, e.g., hypertension, cardiovascular and heart failure diseases. A simple way to get arterial pulse wave is by using fingers to touch the radial artery position on the wrist. In the traditional Chinese medicine, a physician can use the information of arterial pulse wave-form to identify diseases based on the physician’s ability and experience. The improvement of the skill in pulse measurement can be improved by training using various kinds of pulses that represent each disease. This paper proposes a development of the virtual pulse simulation using Augmented Reality (AR) and haptic device for pulse diagnosis studies under various situations. The pulse simulation generates arterial pulse waveforms based on Sine and Gaussian functions. In this study, the mathematical model can generate the pulse wave like human pulse by setting up specific parameters. We can generate pulse waveform which representing different kinds and states of diseases by varying the mathematical model and parameters such as pulse rate or pulse pressure. The features of this work include how to generate force feedback from the mathematical models using the haptic device and how the virtual 3D can display visual feedback. The pulse simulation is useful for the health sciences students, especially the nursing students in training to identify some diseases. The evaluation of the system was carried out by first-year nursing students regarding usability, satisfaction, and performance.

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Noninvasive pressure pulse waveform analysis of flow-mediated vasodilation evoked by post-occlusive reactive hyperemia maneuver

Cited by 8 publications

References 25 publications

Pulse Waveform Analysis of Chinese Pulse Images and Its Association with Disability in Hypertension

Pulse Waveform Analysis of Chinese Pulse Images and Its Association with Disability in Hypertension

Clinical and functional variables can predict general fatigue in patients with acromegaly: an explanatory model approach

Development of Virtual Pulse Simulation for Pulse Diagnosis Studies

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