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heart rate variability and sleep

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https://www.readbyqxmd.com/read/28325016/sleep-stage-classification-by-non-contact-vital-signs-indices-using-doppler-radar-sensors
#1
Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui
Disturbed sleep has become more common in recent years. To improve the quality of sleep, undergoing sleep observation has gained interest as a means to resolve possible problems. In this paper, we evaluate a non-restrictive and non-contact method for classifying real-time sleep stages and report on its potential applications. The proposed system measures heart rate (HR), heart rate variability (HRV), body movements, and respiratory signals of a sleeping person using two 24-GHz microwave radars placed beneath the mattress...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28286485/relation-of-heart-rate-and-its-variability-during-sleep-with-age-physical-activity-and-body-composition-in-young-children
#2
David Herzig, Prisca Eser, Thomas Radtke, Alina Wenger, Thomas Rusterholz, Matthias Wilhelm, Peter Achermann, Amar Arhab, Oskar G Jenni, Tanja H Kakebeeke, Claudia S Leeger-Aschmann, Nadine Messerli-Bürgy, Andrea H Meyer, Simone Munsch, Jardena J Puder, Einat A Schmutz, Kerstin Stülb, Annina E Zysset, Susi Kriemler
Background: Recent studies have claimed a positive effect of physical activity and body composition on vagal tone. In pediatric populations, there is a pronounced decrease in heart rate with age. While this decrease is often interpreted as an age-related increase in vagal tone, there is some evidence that it may be related to a decrease in intrinsic heart rate. This factor has not been taken into account in most previous studies. The aim of the present study was to assess the association between physical activity and/or body composition and heart rate variability (HRV) independently of the decline in heart rate in young children...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28269047/pulse-transit-time-and-heart-rate-variability-in-sleep-staging
#3
Sobhan Salari Shahrbabaki, Beena Ahmed, Thomas Penzel, Dean Cvetkovic
This paper presents a new and robust algorithm for detection of sleep stages by using the lead I of the Electrocardiography (ECG) and a fingertip Photoplethysmography (PPG) sensor, validated using multiple overnight PSG recordings consisting of 20 human subjects (9 insomniac and 11 healthy). Heart Rate Variability (HRV) and Pulse Transit Time (PTT) biomarkers which were extracted from ECG and PPG biosignals then employed to extract features. Distance Weighted k-Nearest Neighbours (DWk-NN) was used as classifier to differentiate sleep epochs...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268989/sleep-apnoea-classification-using-heart-rate-variability-ecg-derived-respiration-and-cardiopulmonary-coupling-parameters
#4
Philip de Chazal, Nadi Sadr
We investigated using heart rate variability (HRV), ECG derived respiration and cardiopulmonary coupling features (CPC) calculated from night-time single lead ECG signals to classify one-minute epochs for the presence or absence of sleep apnoea. We used the 35 training recordings of the M.I.T. Physionet Apnea-ECG database. Performance was assessed with leave-one-record-out cross-validation. The best classification performance was achieved using the CPC features in conjunction with the time-domain based HRV parameters...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268987/identifying-individual-sleep-apnea-hypoapnea-epochs-using-smartphone-based-pulse-oximetry
#5
Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont
Sleep apnea, characterized by frequent pauses in breathing during sleep, poses a serious threat to the healthy growth and development of children. Polysomnography (PSG), the gold standard for sleep apnea diagnosis, is resource intensive and confined to sleep laboratories, thus reducing its accessibility. Pulse oximetry alone, providing blood oxygen saturation (SpO2) and blood volume changes in tissue (PPG), has the potential to identify children with sleep apnea. Thus, we aim to develop a tool for at-home sleep apnea screening that provides a detailed and automated 30 sec epoch-by-epoch sleep apnea analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28253410/activity-monitoring-and-heart-rate-variability-as-indicators-of-fall-risk-proof-of-concept-for-application-of-wearable-sensors-in-the-acute-care-setting
#6
Javad Razjouyan, Gurtej Singh Grewal, Cindy Rishel, Sairam Parthasarathy, Jane Mohler, Bijan Najafi
Growing concern for falls in acute care settings could be addressed with objective evaluation of fall risk. The current proof-of-concept study evaluated the feasibility of using a chest-worn sensor during hospitalization to determine fall risk. Physical activity and heart rate variability (HRV) of 31 volunteers admitted to a 29-bed adult inpatient unit were recorded using a single chest-worn sensor. Sensor data during the first 24-hour recording were analyzed. Participants were stratified using the Hendrich II fall risk assessment into high and low fall risk groups...
March 2, 2017: Journal of Gerontological Nursing
https://www.readbyqxmd.com/read/28251400/effects-of-rapid-ascent-on-the-heart-rate-variability-of-individuals-with-and-without-acute-mountain-sickness
#7
Ming Ling Yih, Fang-Chi Lin, Heng-Sheng Chao, Han-Chen Tsai, Shi-Chuan Chang
PURPOSE: Through time- and frequency-domain analysis, we compared the effects of acute hypobaric hypoxia on the changes in heart rate variability (HRV) following night sleeping and morning awakening in individuals with and without acute mountain sickness (AMS). METHOD: Thirty-nine nonacclimatised healthy individuals were transported by bus from sea level to 3150 m within 3 h. Short-term HRV was measured two times a day-before sleeping (BS) and after awakening (AA)- at 3 days before ascent (T0), two consecutive nights at 3150 m (T1 and T2), and 2 days after descent (T3)...
March 1, 2017: European Journal of Applied Physiology
https://www.readbyqxmd.com/read/28248198/rem-sleep-estimation-based-on-autonomic-dynamics-using-r-r-intervals
#8
Heenam Yoon, Su Hwan Hwang, Jae-Won Choi, Yu Jin Lee, Do-Un Jeong, Kwang Suk Park
OBJECTIVE: We developed an automatic algorithm to determine rapid eye movement (REM) sleep on the basis of the autonomic activities reflected in heart rate variations. APPROACH: The heart rate variability (HRV) parameters were calculated using the R-R intervals from an electrocardiogram (ECG). A major autonomic variation associated with the sleep cycle was extracted from a combination of the obtained parameters. REM sleep was determined with an adaptive threshold applied to the acquired feature...
March 1, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28246641/coordinated-infraslow-neural-and-cardiac-oscillations-mark-fragility-and-offline-periods-in-mammalian-sleep
#9
Sandro Lecci, Laura M J Fernandez, Frederik D Weber, Romain Cardis, Jean-Yves Chatton, Jan Born, Anita Lüthi
Rodents sleep in bouts lasting minutes; humans sleep for hours. What are the universal needs served by sleep given such variability? In sleeping mice and humans, through monitoring neural and cardiac activity (combined with assessment of arousability and overnight memory consolidation, respectively), we find a previously unrecognized hallmark of sleep that balances two fundamental yet opposing needs: to maintain sensory reactivity to the environment while promoting recovery and memory consolidation. Coordinated 0...
February 2017: Science Advances
https://www.readbyqxmd.com/read/28227613/sleep-stage-classification-by-non-contact-vital-signs-indices-using-doppler-radar-sensors
#10
Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui, Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui, Kazuki Suzumura, Takemi Matsui, Masayuki Kagawa
Disturbed sleep has become more common in recent years. To improve the quality of sleep, undergoing sleep observation has gained interest as a means to resolve possible problems. In this paper, we evaluate a non-restrictive and non-contact method for classifying real-time sleep stages and report on its potential applications. The proposed system measures heart rate (HR), heart rate variability (HRV), body movements, and respiratory signals of a sleeping person using two 24-GHz microwave radars placed beneath the mattress...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227262/pulse-transit-time-and-heart-rate-variability-in-sleep-staging
#11
Sobhan Salari Shahrbabaki, Beena Ahmed, Thomas Penzel, Dean Cvetkovic, Sobhan Salari Shahrbabaki, Beena Ahmed, Thomas Penzel, Dean Cvetkovic, Sobhan Salari Shahrbabaki, Beena Ahmed, Thomas Penzel, Dean Cvetkovic
This paper presents a new and robust algorithm for detection of sleep stages by using the lead I of the Electrocardiography (ECG) and a fingertip Photoplethysmography (PPG) sensor, validated using multiple overnight PSG recordings consisting of 20 human subjects (9 insomniac and 11 healthy). Heart Rate Variability (HRV) and Pulse Transit Time (PTT) biomarkers which were extracted from ECG and PPG biosignals then employed to extract features. Distance Weighted k-Nearest Neighbours (DWk-NN) was used as classifier to differentiate sleep epochs...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227199/sleep-apnoea-classification-using-heart-rate-variability-ecg-derived-respiration-and-cardiopulmonary-coupling-parameters
#12
Philip de Chazal, Nadi Sadr, Philip de Chazal, Nadi Sadr, Nadi Sadr, Philip de Chazal
We investigated using heart rate variability (HRV), ECG derived respiration and cardiopulmonary coupling features (CPC) calculated from night-time single lead ECG signals to classify one-minute epochs for the presence or absence of sleep apnoea. We used the 35 training recordings of the M.I.T. Physionet Apnea-ECG database. Performance was assessed with leave-one-record-out cross-validation. The best classification performance was achieved using the CPC features in conjunction with the time-domain based HRV parameters...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227197/identifying-individual-sleep-apnea-hypoapnea-epochs-using-smartphone-based-pulse-oximetry
#13
Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, J Mark Ansermino, Parastoo Dekhordi, Guy A Dumont, Ainara Garde
Sleep apnea, characterized by frequent pauses in breathing during sleep, poses a serious threat to the healthy growth and development of children. Polysomnography (PSG), the gold standard for sleep apnea diagnosis, is resource intensive and confined to sleep laboratories, thus reducing its accessibility. Pulse oximetry alone, providing blood oxygen saturation (SpO2) and blood volume changes in tissue (PPG), has the potential to identify children with sleep apnea. Thus, we aim to develop a tool for at-home sleep apnea screening that provides a detailed and automated 30 sec epoch-by-epoch sleep apnea analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28214401/association-between-loss-of-bone-mass-due-to-short-sleep-and-leptin-sympathetic-nervous-system-activity
#14
Nagato Kuriyama, Masaaki Inaba, Etsuko Ozaki, Yutaro Yoneda, Daisuke Matsui, Kanae Hashiguchi, Teruhide Koyama, Komei Iwai, Isao Watanabe, Rika Tanaka, Chie Omichi, Shigeto Mizuno, Masao Kurokawa, Motoyuki Horii, Fumitoshi Niwa, Koichi Iwasa, Shinsuke Yamada, Yoshiyuki Watanabe
BACKGROUND: Sleep has been reported to be an important factor in bone metabolism, and sympathetic nervous system activity has been reported to regulate bone metabolism. In this study, we evaluated the association between sleep, sympathetic nervous system activity, and bone mass. METHODS: The study subjects were 221 individuals (108 males; 113 females; mean age: 55.1±7.0years) divided into two groups: those who slept for less than 6h a day (short sleep [SS] group), and those who slept 6h or longer (normal sleep [NS] group)...
May 2017: Archives of Gerontology and Geriatrics
https://www.readbyqxmd.com/read/28211138/nocturnal-autonomic-nervous-system-activity-and-morning-proinflammatory-cytokines-in-young-adult-african-americans
#15
Kimberly A Bell, Ihori Kobayashi, Yuanxiu Chen, Thomas A Mellman
Compromised sleep and increased sympathetic nervous system (SNS) activity are implicated in the pathogenesis of, and disparities in, cardiovascular disease. Parasympathetic dominance during sleep may be important for cardiovascular health. Sleep and autonomic balance influence immune activity, which impacts atherogenesis. We evaluated relationships between autonomic balance during sleep and morning levels of the immune activating cytokines, C-reactive protein (CRP) and interleukin (IL)-6. Ninety-four (59 female) young adult African Americans without medical conditions and substance use disorders spent 2 consecutive nights in a clinical research unit for sleep recordings and blood drawing on awakening...
February 17, 2017: Journal of Sleep Research
https://www.readbyqxmd.com/read/28190618/excessive-daytime-sleepiness-does-not-correlate-with-sympathetic-nervous-system-activation-and-arterial-stiffening-in-patients-with-mild-to-moderate-obstructive-sleep-apnoea-a-proof-of-principle-study
#16
Valeria Bisogni, Martino F Pengo, Panagis Drakatos, Giuseppe Maiolino, Brian Kent, Giacomo Rossitto, Joerg Steier, Gian Paolo Rossi
BACKGROUND: Increased arterial stiffness and sympathetic nervous system activity, independent markers of cardiovascular risk, are common in patients with severe obstructive sleep apnoea, who have excessive daytime sleepiness. Among patients with mild-to-moderate obstructive sleep apnoea, however, it remains unknown whether arterial stiffness and/or increased sympathetic nervous system activity correlate with excessive daytime sleepiness. METHODS: We measured heart rate variability, as an index of autonomic nervous system activity, and arterial stiffness index, as a marker of vascular damage and cardiovascular risk, in 56 men aged 18 to 75years, with mild-to-moderate obstructive sleep apnoea, and matched into two groups, "sleepy" (Epworth Sleepiness Scale≥10) and "non-sleepy" (Epworth Sleepiness Scale<10)...
February 2, 2017: International Journal of Cardiology
https://www.readbyqxmd.com/read/28167915/the-role-of-acute-intermittent-hypoxia-in-neutrophil-generated-superoxide-sympathovagal-balance-and-vascular-function-in-healthy-subjects
#17
Germana P L Almeida, Ivani C Trombetta, Felipe X Cepeda, Elaine Hatanaka, Rui Curi, Cristiano Mostarda, Maria C Irigoyen, José A S Barreto-Filho, Eduardo M Krieger, Fernanda M Consolim-Colombo
Introduction: Recurrent hypoxia (HPX), a hallmark of the obstructive sleep apnea (OSA), impairs autonomic balance, and increases arterial blood pressure (BP). Oxidative stress is one of the mechanisms involved in these alterations. The cumulative effect of acute intermittent HPX and the chronicity may determine whether the response crosses the threshold from having protective value to pathology. However, the impact of acute intermittent HPX-reoxygenation on markers of oxidative stress in healthy individuals remains to be fully understood...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28153217/nocturnal-heart-rate-variation-in-diabetic-and-non-diabetic-patients%C3%A2-with-sleep-apnea-syndrome
#18
Babak Amra, Mohaddeseh Behjati, Thomas Penzel, Ingo Fietze, Christoph Schoebel, Nizal Sarrafzadegan
OBJECTIVES: Heart rate variability (HRV) analysis is used for the evaluation of autonomic function in the cardiovascular system. Decreased HRV is associated with disorders affecting the autonomous system such as diabetes mellitus (DM) and obstructive sleep apnea (OSA). Previous studies have shown an association between OSA and DM. However, the interrelationships of HRV with OSA and DM are not well known. The aim of this study was to assess nocturnal HRV in patients who suffered from OSA with and without DM...
January 2017: Sleep Medicine
https://www.readbyqxmd.com/read/28151944/diurnal-variation-and-twenty-four-hour-sleep-deprivation-do-not-alter-supine-heart-rate-variability-in-healthy-male-young-adults
#19
Daniel S Quintana, Torbjørn Elvsåshagen, Nathalia Zak, Linn B Norbom, Per Ø Pedersen, Sophia H Quraishi, Atle Bjørnerud, Ulrik F Malt, Inge R Groote, Tobias Kaufmann, Ole A Andreassen, Lars T Westlye
Heart rate variability (HRV) has become an increasingly popular index of cardiac autonomic control in the biobehavioral sciences due to its relationship with mental illness and cognitive traits. However, the intraindividual stability of HRV in response to sleep and diurnal disturbances, which are commonly reported in mental illness, and its relationship with executive function are not well understood. Here, in 40 healthy adult males we calculated high frequency HRV-an index of parasympathetic nervous system (PNS) activity-using pulse oximetry during brain imaging, and assessed attentional and executive function performance in a subsequent behavioral test session at three time points: morning, evening, and the following morning...
2017: PloS One
https://www.readbyqxmd.com/read/28134132/heart-rate-complexity-analysis-in-brugada-syndrome-during-physical-stress-testing
#20
M Calvo, P Gomis, D Romero, V Le Rolle, N Béhar, P Mabo, A Hernández
Symptoms such as ventricular arrhythmias in Brugada syndrome (BS) typically occur at rest, especially during sleep, suggesting that the autonomic nervous system (ANS) function may be relevant in the arrhythmogenesis of the disease. The aim of this work was to assess the ANS response captured by nonlinear heart rate variability (HRV) measures in 69 patients diagnosed with BS, who underwent a standardized physical stress test. Heart rate complexity (HRC) was evaluated by the power-law scaling analysis (β slope) during rest, exercise, recovery and rest post-recovery, in order to discriminate between symptomatic and asymptomatic BS patients...
February 2017: Physiological Measurement
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