scholarly journals Non-Invasive Device for Blood Pressure Wave Acquisition by Means of Mechanical Transducer

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4311
Author(s):  
David Zambrana-Vinaroz ◽  
Jose Vicente-Samper ◽  
Carlos G. Juan ◽  
Vicente Esteve-Sala ◽  
Jose Sabater-Navarro

Blood pressure wave monitoring provides interesting information about the patient’s cardiovascular function. For this reason, this article proposes a non-invasive device capable of capturing the vibrations (pressure waves) produced by the carotid artery by means of a pressure sensor encapsulated in a closed dome filled with air. When the device is placed onto the outer skin of the carotid area, the vibrations of the artery will exert a deformation in the dome, which, in turn, will lead to a pressure increase in its inner air. Then, the sensor inside the dome captures this pressure increase. By combining the blood pressure wave obtained with this device together with the ECG signal, it is possible to help the screening of the cardiovascular system, obtaining parameters such as heart rate variability (HRV) and pulse transit time (PTT). The results show how the pressure wave has been successfully obtained in the carotid artery area, discerning the characteristic points of this signal. The features of this device compare well with previous works by other authors. The main advantages of the proposed device are the reduced size, the cuffless condition, and the potential to be a continuous ambulatory device. These features could be exploited in ambulatory tests.

2017 ◽  
Vol 3 (2) ◽  
pp. 755-758 ◽  
Author(s):  
Fabian Kern ◽  
Stefan Bernhard

AbstractThe state-of-the-art blood pressure measurement is beside common cuff-based methods the cuff-less estimation of pulse-transit-time, which is the time a blood pressure wave requires to travel from left ventricle of the heart to another peripheral point in the cardiovascular system. Within this work we present a novel estimation method for cuff-less blood pressure measurement by analysing a single photoplethysmographic signal in the frequency domain. The harmonic phase-shift of the fundamental frequency and the first harmonic within the photoplethysmographic signal has proven a strong correlation of r = 0.8514 and r = 0.9315 with systolic and diastolic blood pressure respectively.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Elisa Mejía-Mejía ◽  
James M. May ◽  
Mohamed Elgendi ◽  
Panayiotis A. Kyriacou

AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.


2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Hieyong Jeong ◽  
Kayo Yoshimoto ◽  
Tianyi Wang ◽  
Takafumi Ohno ◽  
Kenji Yamada ◽  
...  

Author(s):  
Harinderjit Singh ◽  
Dilip Kumar

These days most of the Blood Pressure (BP) measuring devices are having inflatable cuff that is needed to be occluded on the patient's arm for measuring blood pressure. This technique is not suitable in cases where continuous measurement of BP is required. Therefore, this work is aimed at designing of non-invasive and continuously monitors the blood pressure by using Pulse Transit Time (PTT) technique. For taking out PTT both of the signals are extracted from the body of the patient with the help of bio sensors i.e. Electrocardiogram (ECG) sensor and Photoplethysmogram (PPG) sensor. PTT was measured by taking the peak to peak time difference of ECG signal and PPG signal and this PTT is indirectly correlated with blood pressure, based on which Systolic Blood Pressure (SBP) and Diastolic Blood Pressure (DBP) is calculated.


Diagnostics ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 361
Author(s):  
Leo Kilian ◽  
Philipp Krisai ◽  
Thenral Socrates ◽  
Christian Arranto ◽  
Otmar Pfister ◽  
...  

Background: The Somnotouch-Non-Invasive-Blood-Pressure (NIBP) device delivers raw data consisting of electrocardiography and photoplethysmography for estimating blood pressure (BP) over 24 h using pulse-transit-time. The study’s aim was to analyze the impact on 24-hour BP results when processing raw data by two different software solutions delivered with the device. Methods: We used data from 234 participants. The Somnotouch-NIBP measurements were analyzed using the Domino-light and Schiller software and compared. BP values differing >5 mmHg were regarded as relevant and explored for their impact on BP classification (normotension vs. hypertension). Results: Mean (±standard deviation) absolute systolic/diastolic differences for 24-hour mean BP were 1.5 (±1.7)/1.1 (±1.3) mm Hg. Besides awake systolic BP (p = 0.022), there were no statistically significant differences in systolic/diastolic 24-hour mean, awake, and asleep BP. Twenty four-hour mean BP agreement (number (%)) between the software solutions within 5, 10, and 15 mmHg were 222 (94.8%), 231 (98.7%), 234 (100%) for systolic and 228 (97.4%), 232 (99.1%), 233 (99.5%) for diastolic measurements, respectively. A BP difference of >5 mmHg was present in 24 (10.3%) participants leading to discordant classification in 4–17%. Conclusion: By comparing the two software solutions, differences in BP are negligible at the population level. However, at the individual level there are, in a minority of cases, differences that lead to different BP classifications, which can influence the therapeutic decision.


2016 ◽  
Vol 2 (1) ◽  
pp. 209-213 ◽  
Author(s):  
Alexandru-Gabriel Pielmuş ◽  
Maik Pflugradt ◽  
Timo Tigges ◽  
Michael Klum ◽  
Aarne Feldheiser ◽  
...  

AbstractBeing able to accurately monitor blood pressure in a reliable, truly non-invasive manner is a highly sought after goal within the biomedical community. In this paper we propose and assess a system, methodology and algorithm for unobtrusively obtaining true pulse transit time data from readily accessible peripheral locations, such as the hand, using a highly synchronous body-sensor-network encompassing an electrocardiogram- and dual mode photoplethysmogram sensor node. The results suggest the feasibility of acquiring such data, which strongly correlates with the recorded reference blood pressure, and can therefore be further employed to track changes thereof.


2021 ◽  
Vol 7 (2) ◽  
pp. 375-378
Author(s):  
Carolin Wuerich ◽  
Robin Rademacher ◽  
Christian Wiede ◽  
Anton Grabmaier

Abstract Commonly used blood pressure measurement devices have noticeable limitations in accuracy, measuring time, comfort or safety. To overcome these limitations, we developed and tested a surrogate-based, non-invasive blood pressure measurement method using an RGB-camera. Our proposed method employs the relation between the pulse transit time (PTT) and blood pressure. Two remote photoplethysmography (rPPG) signals at different distances from the heart are extracted to calculate the temporal delay of the pulse wave. In order to establish the correlation between the PTT values and the blood pressure, a regression model is trained and evaluated. Tests were performed with five subjects, where each subject was recorded fifteen times for 30 seconds. Since the physiological parameters of the cardiac system are different for each person, an individual calibration is required to obtain the systolic and diastolic blood pressure from the PTT values. The calibration results are limited by the small number of samples and the accuracy of the reference system. However, our results show a strong correlation between the PTT values and the blood pressure and we obtained a mean error of 0.18 +/- 5.50 mmHg for the diastolic blood pressure and 0.01 +/- 7.71 mmHg for the systolic pressure, respectively.


2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Zahari Taha ◽  
Lum Shirley ◽  
Mohd Azraai Mohd Razman

Hypertension, the abnormal elevation of blood pressure, is one of the chronic disease that usually comes with no symptom and signal. As the systolic blood pressure (SBP) over 140 mm Hg or diastolic blood pressure (DBP) is over 90 mmHg, it is considered as hypertension. The purpose of this paper is to determine a method to early diagnose of hypertension by monitoring the SBP, DBP, and heart rate (HR) non-invasively. Although accurate measurement of BP and HR of a person can be obtained invasively, the measuring probe needs to place under patient’s skin and it would cause wound. Therefore, this paper review on methods to measure BP and HR non-invasively. External pressures are needed to induce to the artery in order to measure BP and HR by using auscultatory and oscillometric methods, hence, a pressure cuff is used for measuring BP. The pressure cuff will restrict the motion of patient and it is not suitable for continuous monitoring. Pulse transit time (PTT) and photoplethysmography (PPG) methods are introduced to measuring BP non-invasively without cuff. The limitation of PTT over PPG is PTT needs both PPG waveform and ECG waveform to estimate BP, and artificial phase lag is occurred which will affect the reliability of the measured result. Therefore, for long term monitoring hypertension, non-invasively, by using photoplephymosgraphy method is preferred since it enables continuous monitoring without cuff and it is only one waveform, which is PPG waveform, is needed to estimate the BP as well as HR. 


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