Low-frequency component of photoplethysmogram reflects the autonomic control of blood pressure

Karavaev, Anatoly S.; Боровик, А. С.; Боровкова, Е И; Orlova, Ekaterina; Simonyan, Margarita A.; Пономаренко, В. И.; Skazkina, Viktoriia V.; Gridnev, Vladimir I.; Безручко, Б. П.; Прохоров, М. Д.; Kiselev, Anton R.

doi:10.1016/j.bpj.2021.05.020

“…The literature suggests the evaluation of baroreflex sensitivity, muscle sympathetic nerve activity, plasma catecholamines, and heart sympathetic imaging [ 56 ]. Besides that, the assessment by means of photoplethysmography could have been a great association to our analyses, for assessing the underlying status of peripheral blood vessels, and whenever possible, it is suggested using additional physiological cardiovascular measurements, increasing accuracy [ 57 – 59 ]. Additionally, by analysis of the phase coherence between the oscillations in microvascular blood flow and tissue oxygenation, it would be possible to study cardiovascular and microvascular dynamical processes [ 60 ].…”

Section: Discussionmentioning

confidence: 99%

Cardiac Autonomic Modulation in Subjects with Amyotrophic Lateral Sclerosis (ALS) during an Upper Limb Virtual Reality Task: A Prospective Control Trial

Silveira

¹

,

Moraes

²

,

Vidigal

³

et al. 2022

BioMed Research International

11

4

0

View full text Add to dashboard Cite

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease. As a result of the rapid progression and severity of the disease, people with ALS experience loss of functionality and independence. Furthermore, it has already been described presence of autonomic dysfunction. Despite the increasing use of virtual reality (VR) in the treatment of different diseases, the use of virtual reality environment as an intervention program for ALS patients is innovative. The benefits and limitations have not yet been proven. Our objective was to evaluate the autonomic function of individuals with amyotrophic lateral sclerosis throughout the virtual reality task. The analysis of autonomic function was completed before, during, and after the virtual reality task using the upper limbs; also, all steps lasted ten minutes in a sitting position. Heart rate variability (HRV) was taken via the Polar® RS800CX cardiofrequencymeter. The following questionnaire was enforced: Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS) and Fatigue Severity Scale (FSS). Different types of HRV were revealed for the groups, indicating that the ALS group has reduced HRV, with most of the representative indices of the sympathetic nervous system. Besides, the physiological process of reducing parasympathetic activity from rest to VR activity (vagal withdrawal), with reduction in HF (ms2) and an increase in HR from rest to activity, and a further increase throughout recovery, with withdrawal of sympathetic nervous system, occurs just for the control group (CG), with no alterations between rest, activity, and recovery in individuals with ALS. We could conclude that patients with ALS have the reduction of HRV with the sympathetic predominance when equated to the healthy CG. Besides that, the ALS individuals have no capability to adapt the autonomic nervous system when likened to the CG during therapy based on VR and their recovery.

show abstract

“…With LED light and light intensity detection, the signals following light absorption change as a function of variations in blood volume during heartbeats. This is the principle of PPG [ 20 , 21 ].…”

Section: Methodsmentioning

confidence: 99%

Influence of Obesity on Heart Rate Variability in Nurses with Age and Shift Type as Moderators

Chang

¹

,

Wang

²

,

Lin

³

2021

BioMed Research International

View full text Add to dashboard Cite

Obesity is a risk factor of cardiovascular disease-related mortality and may be associated with changes in the autonomic nerve activity. Nurses working shifts and caring for patients are under great mental and physical pressure, and research has proven that these can negatively affect the body. The objective of this study was to examine the influence of obesity in nurses on their heart rate variability (HRV) and determine whether age or shift type moderates this influence. A questionnaire survey and HRV measurements were conducted on nurses at a hospital in Taiwan during a routine employee health checkup. HRV analysis was conducted using a noninvasive HRV monitor for five minutes. A total of 242 nurses with a mean age of 28.98 ± 6.56 years were enrolled in this study. An overly large waist circumference (WC) had a negative impact on high frequency (HF), low frequency (LF), and standard deviation of normal-to-normal interval (SDNN), while an overly high body mass index (BMI) had a negative impact on very low frequency (VLF) and SDNN. The interaction term “overly large WC × age” had a negative impact on HF ( β = − 0.21 , p = 0.010 ) and LF ( β = − 0.18 , p = 0.030 ), whereas the interaction term “overly high BMI×age” had a negative impact on HF ( β = − 0.27 , p = 0.001 ), LF ( β = − 0.19 , p = 0.023 ), and VLF ( β = − 0.17 , p = 0.045 ). The interaction terms “overly large WC × shift type” and “overly high BMI × shift type” did not influence any HRV parameters. As age increased, so did the degree to which the HF and LF of nurses with an overly large WC were lower than normal, and so did the degree to which the HF, LF, and VLF of nurses with an overly high BMI were lower than normal.

show abstract

“…PPG and ABP waves have similarities in terms of morphological aspects at least; FFT was used to remove high frequency noise. In lower frequency regions, a segment from 0.15 to 0.4 Hz, which is a consequence of respiratory effect, and another segment from 0.01 to 0.15 Hz vascular resistance, are divided [ 84 ]. Although in numbers there is coherence between the lower frequency region of PPG and BP, the mechanism or rationale behind the coherence is still debated among researchers [ 84 ].…”

Section: Methodsmentioning

confidence: 99%

“…In lower frequency regions, a segment from 0.15 to 0.4 Hz, which is a consequence of respiratory effect, and another segment from 0.01 to 0.15 Hz vascular resistance, are divided [ 84 ]. Although in numbers there is coherence between the lower frequency region of PPG and BP, the mechanism or rationale behind the coherence is still debated among researchers [ 84 ]. Change in respiration rhythm is reflected in the change in stroke volume which in turn affects PPG wave pattern.…”

Section: Methodsmentioning

confidence: 99%

Cuffless Blood Pressure Measurement Using Linear and Nonlinear Optimized Feature Selection

Mamun

¹

,

Alouani

²

2022

View full text Add to dashboard Cite

The cuffless blood pressure (BP) measurement allows for frequent measurement without discomfort to the patient compared to the cuff inflation measurement. With the availability of a large dataset containing physiological waveforms, now it is possible to use them through different learning algorithms to produce a relationship with changes in BP. In this paper, a novel cuffless noninvasive blood pressure measurement technique has been proposed using optimized features from electrocardiogram and photoplethysmography based on multivariate symmetric uncertainty (MSU). The technique is an improvement over other contemporary methods due to the inclusion of feature optimization depending on both linear and nonlinear relationships with the change of blood pressure. MSU has been used as a selection criterion with algorithms such as the fast correlation and ReliefF algorithms followed by the penalty-based regression technique to make sure the features have maximum relevance as well as minimum redundancy. The result from the technique was compared with the performance of similar techniques using the MIMIC-II dataset. After training and testing, the root mean square error (RMSE) comes as 5.28 mmHg for systolic BP and 5.98 mmHg for diastolic BP. In addition, in terms of mean absolute error, the result improved to 4.27 mmHg for SBP and 5.01 for DBP compared to recent cuffless BP measurement techniques which have used substantially large datasets and feature optimization. According to the British Hypertension Society Standard (BHS), our proposed technique achieved at least grade B in all cumulative criteria for cuffless BP measurement.

show abstract

Low-frequency component of photoplethysmogram reflects the autonomic control of blood pressure

Cited by 32 publications

References 62 publications

Cardiac Autonomic Modulation in Subjects with Amyotrophic Lateral Sclerosis (ALS) during an Upper Limb Virtual Reality Task: A Prospective Control Trial

Cardiac Autonomic Modulation in Subjects with Amyotrophic Lateral Sclerosis (ALS) during an Upper Limb Virtual Reality Task: A Prospective Control Trial

Influence of Obesity on Heart Rate Variability in Nurses with Age and Shift Type as Moderators

Cuffless Blood Pressure Measurement Using Linear and Nonlinear Optimized Feature Selection

Contact Info

Product

Resources

About