Heart Rate Variability

Acharya, U. Rajendra; Joseph, K. Paul; Kannathal, N.; Min, Lim Choo; Suri, Jasjit S.

doi:10.1007/978-3-540-36675-1_5

Cited by 168 publications

(217 citation statements)

References 122 publications

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“…High frequency (HF: 0.15-0.40 Hz) spectral power reflects primarily parasympathetic influences, whereas low frequency power (LF: 0.04-0.15 Hz) has been shown to reflect both sympathetic and parasympathetic influences. The LFHFR reflects the relative balance between the sympathetic and parasympathetic nervous (Anonymous, 1996;Acharya et al, 2006). The results from our study implied the exposure to ambient O 3 was associated with the withdrawal of cardiac parasympathetic nervous activity (decreased HF) and prominence of sympathetic nervous activity (increased LFHFR).…”

Section: Discussionmentioning

confidence: 55%

“…(1) The elderly individuals with cardio-pulmonary diseases were chosen as the subjects in previous studies, and no study was found examining the associations in the healthy elderly individuals. It has long been demonstrated the HRV indices change with health status (cardio-pulmonary status) and drug mediations (Antelmi et al, 2004;Felber Dietrich et al, 2006;Rajendra Acharya et al, 2006), and the response of HRV to the stimulus of O 3 are suggested to be disturbed by the healthy status and drug mediations (Holguin et al, 2003;Park et al, 2005); (2) Most of the previous studies evaluated association between the O 3 concentrations monitored in the ambient stations and HRV indices measured indoors (Gold et al, 2000;Holguin et al, 2003;Liao et al, 2004;Park et al, 2005;Schwartz et al, 2005). The exposure error may occur because of the great discrepancy between indoor and outdoor O 3 concentration and the variations of indoor O 3 concentration from room to room.…”

Section: Introductionmentioning

confidence: 99%

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Acute effect of ambient ozone on heart rate variability in healthy elderly subjects

Jia

Song

Shima

et al. 2011

J Expo Sci Environ Epidemiol

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Acute ambient ozone (O 3 ) exposure is associated with the increased mortality and morbidity of cardiovascular diseases. The dysfunction of cardiac autonomic nervous system (ANS), indicated by the disturbed heart rate variability (HRV), may be the most important underlying mechanism. Previous studies reported the heterogeneous associations between O 3 within several hours' exposure and HRV on general elderly subjects, in which poor surrogate of exposure evaluation and different health status of the subjects may be responsible for the heterogeneous associations. No studies were found focusing on the O 3 -mediated HRV effects within several minutes' exposure on healthy older subjects until recently. We measured the real-time 5-min ambient O 3 concentration and HRV frequency indices in 20 healthy elderly subjects in two surveys, with the 1st and 2nd survey in summer and winter, respectively. Mixed-linear model was used to evaluate the associations between the ambient 5-min average O 3 and concurrent 5-min HRV frequency indices measured during the outdoor period. After adjusting the co-pollutants (ambient PM 2.5 and nitrogen oxides concentrations) and subject characteristics, high frequency (HF) changed -4.87% (95% CI -8.62 to -0.97%) per 10 ppb increment of O 3 , whereas decreased low frequency (LF) and increased LFHFR were found to be marginally associated with the elevated O 3 (P values were 0.092 and 0.069). We concluded that the ambient O 3 exert transient decrease effects on HRV, which may induce acute cardiac events.

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Section: Discussionmentioning

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Acute effect of ambient ozone on heart rate variability in healthy elderly subjects

Jia

Song

Shima

et al. 2011

J Expo Sci Environ Epidemiol

View full text Add to dashboard Cite

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“…Nonlinear dynamics analysis: Moreover, the nonlinear dynamics of HRV signals were also analysed. Poincare plot arranges the HRV sequences into pairs of adjacent RR intervals, in two dimensions, with two consequents (RR, RR+1) in the xand y-axes, respectively [11]. An ellipse is generated to fit the data points, from where the width (11) and the length (12) can be calculated as features.…”

Section: Frequency-domain Analysismentioning

confidence: 99%

Fuzzy logic‐based risk of fall estimation using smartwatch data as a means to form an assistive feedback mechanism in everyday living activities

Iakovakis

Papadopoulou

Hadjileontiadis

2016

Healthcare Technology Letters

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This Letter aims to create a fuzzy logic-based assistive prevention tool for falls, based on accessible sensory technology, such as smartwatch, resulting in monitoring of the risk factors of falls caused by orthostatic hypotension (OH); a drop in systolic blood pressure (DSBP) >20 mmHg due to postural changes. Epidemiological studies have shown that OH is a high risk factor for falls and has a strong impact in quality of life (QoL) of the elderly's, especially for some cases such as Parkinsonians. Based on smartwatch data, it is explored here how statistical features of heart rate variability (HRV) can lead to DSBP prediction and estimation of the risk of fall. In this vein, a pilot study was conducted in collaboration with five Greek Parkinson's Foundation patients and ten healthy volunteers. Taking into consideration, the estimated DSBP and additional statistics of the user's medical/behavioural history, a fuzzy logic inference system was developed, to estimate the instantaneous risk of fall. The latter is fed back to the user with a mechanism chosen by him/her (i.e. vibration and/or sound), to prevent a possible fall, and also sent to the attentive carers and/or healthcare professionals for a home-based monitoring beyond the clinic. The proposed approach paves the way for effective exploitation of the contribution of smartwatch data, such as HRV, in the sustain of QoL in everyday living activities. Introduction:The exploitation of internet of things (IoT) as an infrastructure for creating assistive technology solutions is a necessity to healthcare self-management systems. This would lead to improvement of the quality of life (QoL) standards, due to the proactively management of the risks that progressive diseases can cause, such as Parkinson's disease (PD). PD patients face the risk of fall, frailty and depression daily. An unobtrusive approach to reduce the risk of fall in PD patients by using non-invasive wearable technology is crucial in maintaining their QoL. The biometric data acquired by wearable technology can reveal statistical characteristics from user's interaction and mine useful information about the user's physiology. To prevent falls, a prediction model could be developed estimating the risk of falls, based on orthostatic hypotension (OH) episodes in PD, capturing unobtrusively biometric data through a smartwatch. Neurogenic OH is affecting up to 60% of the PD's patients, and the multidimensionality of the disease creates an increased risk in PD patients. On the later stages of the disease, up to 20% of the PD patients face symptomatic OH [1,2]. In addition to PD, up to 40% of the elderly adults >65 years old experience an indoor fall each year, which decreases the mobility and self-confidence. The cost of fall-related injuries has been reported $19 billion for a year [3].In this work, an innovative risk of fall estimation (RFE) system is introduced as a healthcare assistive self-management tool based on a smartwatch. A pilot study was conducted with ten controls and five PD patients applying a ...

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“…Keywords: horse, heart rhythm, behaviour, training 1) Badania wykonano w ramach projektu badawczego Narodowego Centrum Nauki (N31502039).…”

Section: Praca Oryginalna Original Paperunclassified

Frequency of various kinds of behaviour and emotional excitability in Thoroughbred yearlings trained by natural methods

Janczarek

Stachurska

Wilk

et al. 2016

Medycyna Weterynaryjna

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Naturalne metody treningu koni (inaczej zwane sympatycznymi) są stosowane coraz powszechniej. Uważa się, że za ich pomocą można łatwiej kontrolować zachowanie koni niż w treningu tradycyjnym, gdyż człowiek opiera się tu na zrozumieniu mowy ciała zwierzęcia, a sygnały przekazywane przez człowieka mają być także zrozumiałe dla zwierzęcia. Stosowanie metod naturalnych ogranicza stres konia i zapobiega występowaniu takich negatywnych emocji, jak strach czy agresja. Skuteczność tych metod zależy przede wszystkim od prawidłowej interpretacji zachowania konia, która z kolei wynika z wiedzy człowieka i jego doświadczenia. Kiedy koń wyraża akceptację danego zadania i uległość, np. skierowuje uszy w stronę trenera czy zwalnia chód i obniża szyję, trener przechodzi do następnych etapów treningu (5). Nieprawidłowa interpretacja zachowania może natomiast prowadzić do nieporozumień i w ten sposób zaburzyć proces uczenia się konia. W przypadku treningu prowadzonego przez mało doświadczonych trenerów obserwowano u koni, szczególnie ogierów, wystąpienie zachowań agresywnych (16).Metody oceny emocji zwierząt oparte wyłącznie o bezpośrednie obserwacje są obarczone błędem wynikającym z częstej niezgodności między zachowaniem a fizjologiczną reakcją organizmu (8). Aby dogłębnie poznać procesy behawioralne koni, badania powinny uwzględniać wskaźniki fizjologiczne towarzyszące poszczególnym reakcjom (17). Szczególną uwagę poświęca się analizie pracy serca. Frequency of various kinds of behaviour and emotional excitability in Thoroughbred yearlings trained by natural methodsSummary The objective of the study was to determine the activity of the sympathetic and parasympathetic systems associated with various kinds of behaviour in Thoroughbred yearlings during initial training by natural methods. The initial training lasted approximately one hour a day for three successive days. Each day, the behaviour of each colt during the first 15 minutes of training was filmed. During training, a telemetric device was used to measure heart rhythm parameters: heart rate (HR per minute), which shows the activity level of the sympathetic system, and RMSSD (root mean square of two successive RR intervals in QRS curve; ms), illustrating the activity level of the parasympathetic system. On the basis of the film, the frequency of 10 most typical kinds of behaviour was estimated. The synchronization of the film with the heart rhythm parameters record made it possible to determine the mean values of these parameters for particular kinds of behaviour. The results show that on the successive days of training, the activity of the parasympathetic part of the autonomic system increased, and the frequency of reactions decreased. The heart rhythm parameters show that, among the typical reactions to training, four kinds of behaviour are desirable: turning the head towards the trainer, low position of the head, turning ears towards the trainer and licking the lips. Other kinds of behaviour, that is, running away, a high position of the head, vocalization, teeth grin...

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Heart Rate Variability

Cited by 168 publications

References 122 publications

Acute effect of ambient ozone on heart rate variability in healthy elderly subjects

Acute effect of ambient ozone on heart rate variability in healthy elderly subjects

Fuzzy logic‐based risk of fall estimation using smartwatch data as a means to form an assistive feedback mechanism in everyday living activities

Frequency of various kinds of behaviour and emotional excitability in Thoroughbred yearlings trained by natural methods

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