Pub Date : 2022-10-09DOI: 10.1109/ESGCO55423.2022.9931359
Miguel Javierre, M. Miguel, J. Lázaro, Thaís Castro, E. García, E. Gil, C. de la Cámara, J. Aguiló, R. Bailón, S. Kontaxis
After pandemic, healthcare workers experienced a series of emotional and psychological disturbances that could impact their mental well-being. In this study, the feasibility of morphological characteristics of photoplethysmographic (PPG) waveform to quantify stress and depression level posed by COVID-19 in first-line healthcare workers is explored. Results show that higher stress and depression level are moderately correlated with large systolic amplitude and parameters that might indicate early wave reflection. These results suggest that an arterial stiffness, quantified with PPG morphological characteristics, could provide valuable information in assessing mental health.
{"title":"Quantification of stress and depression level posed by COVID-19 in first-line healthcare workers","authors":"Miguel Javierre, M. Miguel, J. Lázaro, Thaís Castro, E. García, E. Gil, C. de la Cámara, J. Aguiló, R. Bailón, S. Kontaxis","doi":"10.1109/ESGCO55423.2022.9931359","DOIUrl":"https://doi.org/10.1109/ESGCO55423.2022.9931359","url":null,"abstract":"After pandemic, healthcare workers experienced a series of emotional and psychological disturbances that could impact their mental well-being. In this study, the feasibility of morphological characteristics of photoplethysmographic (PPG) waveform to quantify stress and depression level posed by COVID-19 in first-line healthcare workers is explored. Results show that higher stress and depression level are moderately correlated with large systolic amplitude and parameters that might indicate early wave reflection. These results suggest that an arterial stiffness, quantified with PPG morphological characteristics, could provide valuable information in assessing mental health.","PeriodicalId":199691,"journal":{"name":"2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122479013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-09DOI: 10.1109/ESGCO55423.2022.9931389
D. Švec, B. Czippelova, J. Krohova, Z. Turianikova, L. Matušková, N. Mažgútová, R. Wiszt, M. Javorka
Arterial compliance (AC) is an important index characterizing mechanical and functional properties of the arteries. In the clinical practice, changes of AC are considered to reflect long-term vascular changes, e.g. arterial stiffening associated with atherosclerosis. However, AC is often confounded by the changes (including short-term changes) in other cardiovascular characteristics, e.g. blood pressure, vasomotion and heart rate (HR). In this study, changes of AC were assessed in the context of potential confounders - systolic arterial pressure (SAP), total peripheral resistance (TPR) and HR perturbations during various physiological states (supine rest, orthostasis and cognitive load) in 56 young and healthy subjects. We observed that AC changes during orthostasis were associated with systemic vasoconstriction and increased HR while changes during cognitive load were associated with increased blood pressure and HR. These findings underline the importance of AC evaluation considering the changes in its confounders.
{"title":"Short-term changes of arterial compliance in the context of its confounders","authors":"D. Švec, B. Czippelova, J. Krohova, Z. Turianikova, L. Matušková, N. Mažgútová, R. Wiszt, M. Javorka","doi":"10.1109/ESGCO55423.2022.9931389","DOIUrl":"https://doi.org/10.1109/ESGCO55423.2022.9931389","url":null,"abstract":"Arterial compliance (AC) is an important index characterizing mechanical and functional properties of the arteries. In the clinical practice, changes of AC are considered to reflect long-term vascular changes, e.g. arterial stiffening associated with atherosclerosis. However, AC is often confounded by the changes (including short-term changes) in other cardiovascular characteristics, e.g. blood pressure, vasomotion and heart rate (HR). In this study, changes of AC were assessed in the context of potential confounders - systolic arterial pressure (SAP), total peripheral resistance (TPR) and HR perturbations during various physiological states (supine rest, orthostasis and cognitive load) in 56 young and healthy subjects. We observed that AC changes during orthostasis were associated with systemic vasoconstriction and increased HR while changes during cognitive load were associated with increased blood pressure and HR. These findings underline the importance of AC evaluation considering the changes in its confounders.","PeriodicalId":199691,"journal":{"name":"2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121890615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-09DOI: 10.1109/ESGCO55423.2022.9931356
Szymon Buś, K. Jędrzejewski, P. Guzik
Heart rate variability (HRV) measures various prop-erties of RR intervals from electrocardiograms (ECGs) with sinus rhythm (SR). Recently, many HRV parameters have been employed to distinguish ECGs with SR from those with atrial fibrillation (AF). However, studies on the diagnostic properties of HRV for AF detection differ both in the tested parameters and in the length of studied ECGs. We aimed to systematically test the diagnostic properties of selected HRV indices for differentiation between AF and SR in ECGs of a wide range of lengths between 5 to 300 s. We demonstrate that the diagnostic performance of HRV for the AF detection strongly depends on the length of the ECG, usually improving with longer recordings. The best diagnostic properties of all HRV indices have been found for pRR50 with the area under curve from 0.881 for 5 s to 0.980 for 300 s, and diagnostic odds ratio from 44 (5 s) to 421 (300 s). We conclude that the length of ECG recording and the selection of HRV parameters are crucial for the proper differentiation of AF from SR. Clinical Relevance- This study demonstrates that the ECG length determines the diagnostic properties and the cutoff values of HRV parameters for AF detection. Additionally, if RR intervals time series analysis is applied to differentiate AF from SR, pRR50 outperforms other HRV parameters used, regardless of the ECG length between 5 and 300 seconds
{"title":"Impact of Electrocardiogram Length on Diagnostic Properties of Heart Rate Variability Indices in Atrial Fibrillation Detection","authors":"Szymon Buś, K. Jędrzejewski, P. Guzik","doi":"10.1109/ESGCO55423.2022.9931356","DOIUrl":"https://doi.org/10.1109/ESGCO55423.2022.9931356","url":null,"abstract":"Heart rate variability (HRV) measures various prop-erties of RR intervals from electrocardiograms (ECGs) with sinus rhythm (SR). Recently, many HRV parameters have been employed to distinguish ECGs with SR from those with atrial fibrillation (AF). However, studies on the diagnostic properties of HRV for AF detection differ both in the tested parameters and in the length of studied ECGs. We aimed to systematically test the diagnostic properties of selected HRV indices for differentiation between AF and SR in ECGs of a wide range of lengths between 5 to 300 s. We demonstrate that the diagnostic performance of HRV for the AF detection strongly depends on the length of the ECG, usually improving with longer recordings. The best diagnostic properties of all HRV indices have been found for pRR50 with the area under curve from 0.881 for 5 s to 0.980 for 300 s, and diagnostic odds ratio from 44 (5 s) to 421 (300 s). We conclude that the length of ECG recording and the selection of HRV parameters are crucial for the proper differentiation of AF from SR. Clinical Relevance- This study demonstrates that the ECG length determines the diagnostic properties and the cutoff values of HRV parameters for AF detection. Additionally, if RR intervals time series analysis is applied to differentiate AF from SR, pRR50 outperforms other HRV parameters used, regardless of the ECG length between 5 and 300 seconds","PeriodicalId":199691,"journal":{"name":"2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129711384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-09DOI: 10.1109/ESGCO55423.2022.9931347
Raphael M. Abreu, A. Porta, P. Rehder-Santos, Claudio D Silva, Étore F Signini, J. Milan-Mattos, B. Cairo, C. Sakaguchi, A. Catai
The aim of this study was to evaluate the cardiorespiratory coupling (CRC) of athletes at rest and to verify its relationship with exercise capacity. We studied 50 men (25 athletes and 25 non-athletes) at rest in supine condition. The CRC was determined via squared coherence function K2 between heart period (HP) and respiratory (RESP) variabilities in high frequency (HF) band [K2(HF)], while the exercise capacity was assessed via the peak oxygen uptake (VO2 peak) measured during cardiopulmonary exercise testing. The results showed that K2(HF) index was significantly correlated with VO2 peak (r=0.4, $p=0.03$). This result suggests that CRC is associated with physical exercise capacity in athletes. This finding might open new possibilities on how to improve VO2 peak above and beyond the application of demanding sessions of heavy physical exercise.
{"title":"Cardiorespiratory Coupling is Associated with Exercise Capacity in Athletes","authors":"Raphael M. Abreu, A. Porta, P. Rehder-Santos, Claudio D Silva, Étore F Signini, J. Milan-Mattos, B. Cairo, C. Sakaguchi, A. Catai","doi":"10.1109/ESGCO55423.2022.9931347","DOIUrl":"https://doi.org/10.1109/ESGCO55423.2022.9931347","url":null,"abstract":"The aim of this study was to evaluate the cardiorespiratory coupling (CRC) of athletes at rest and to verify its relationship with exercise capacity. We studied 50 men (25 athletes and 25 non-athletes) at rest in supine condition. The CRC was determined via squared coherence function K2 between heart period (HP) and respiratory (RESP) variabilities in high frequency (HF) band [K2(HF)], while the exercise capacity was assessed via the peak oxygen uptake (VO2 peak) measured during cardiopulmonary exercise testing. The results showed that K2(HF) index was significantly correlated with VO2 peak (r=0.4, $p=0.03$). This result suggests that CRC is associated with physical exercise capacity in athletes. This finding might open new possibilities on how to improve VO2 peak above and beyond the application of demanding sessions of heavy physical exercise.","PeriodicalId":199691,"journal":{"name":"2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129131265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-09DOI: 10.1109/ESGCO55423.2022.9931393
G. Valenza, J. Saul, R. Barbieri
Respiratory sinus arrhythmia (RSA) refers to the changes in heart rate (HR) that occur with respiratory activity. While HR oscillations in the high frequency (HF) band (0.14-0.4 Hz) primarily reflect variations in cardiac vagal activity, changes in respiratory rate (frequency) and amplitude within that HF band affect RSA and thus any vagal activity metric which relies on RSA, including HF spectral power of HR variability (HRV) series. In this study, HF power estimates were compared to the recently introduced Parasympathetic Activity Index (PAI) by analyzing HRV series gathered during spontaneous and controlled respiration. HF power showed significant changes at different respiratory rates, as previously found, while PAI quantified relatively stable vagal activity across different respiratory rates. Thus, HF power was affected by both vagal activity and respiratory rate, whereas PAI appears to be modulated primarily by cardiac vagal activity.
{"title":"Heart Rate Variability in Spontaneous and Controlled Breathing: a HF power vs. Parasympathetic Activity Index study","authors":"G. Valenza, J. Saul, R. Barbieri","doi":"10.1109/ESGCO55423.2022.9931393","DOIUrl":"https://doi.org/10.1109/ESGCO55423.2022.9931393","url":null,"abstract":"Respiratory sinus arrhythmia (RSA) refers to the changes in heart rate (HR) that occur with respiratory activity. While HR oscillations in the high frequency (HF) band (0.14-0.4 Hz) primarily reflect variations in cardiac vagal activity, changes in respiratory rate (frequency) and amplitude within that HF band affect RSA and thus any vagal activity metric which relies on RSA, including HF spectral power of HR variability (HRV) series. In this study, HF power estimates were compared to the recently introduced Parasympathetic Activity Index (PAI) by analyzing HRV series gathered during spontaneous and controlled respiration. HF power showed significant changes at different respiratory rates, as previously found, while PAI quantified relatively stable vagal activity across different respiratory rates. Thus, HF power was affected by both vagal activity and respiratory rate, whereas PAI appears to be modulated primarily by cardiac vagal activity.","PeriodicalId":199691,"journal":{"name":"2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127567948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-09DOI: 10.1109/ESGCO55423.2022.9931368
R. Pernice, Laura Sparacino, Chiara Barà, Y. Antonacci, L. Faes
In this work, we perform a linear parametric analysis of cardiorespiratory interactions in bivariate time series of heart period (HP) and respiration (RESP) measured in 19 healthy subjects during spontaneous breathing and controlled breathing at varying breathing frequency. The analysis is carried out computing measures of the total and causal interaction between HP and RESP variability in both time and frequency domains (low- and high-frequency, LF and HF). Results highlight strong cardiorespiratory interactions in the time domain and within the HF band that are not affected by the paced breathing condition. Interactions in the LF band are weaker and prevalent along the direction from HP to RESP, but result more influenced by the shift from spontaneous to controlled respiration.
{"title":"Assessment of Cardiorespiratory Interactions During Spontaneous and Controlled Breathing: Linear Parametric Analysis","authors":"R. Pernice, Laura Sparacino, Chiara Barà, Y. Antonacci, L. Faes","doi":"10.1109/ESGCO55423.2022.9931368","DOIUrl":"https://doi.org/10.1109/ESGCO55423.2022.9931368","url":null,"abstract":"In this work, we perform a linear parametric analysis of cardiorespiratory interactions in bivariate time series of heart period (HP) and respiration (RESP) measured in 19 healthy subjects during spontaneous breathing and controlled breathing at varying breathing frequency. The analysis is carried out computing measures of the total and causal interaction between HP and RESP variability in both time and frequency domains (low- and high-frequency, LF and HF). Results highlight strong cardiorespiratory interactions in the time domain and within the HF band that are not affected by the paced breathing condition. Interactions in the LF band are weaker and prevalent along the direction from HP to RESP, but result more influenced by the shift from spontaneous to controlled respiration.","PeriodicalId":199691,"journal":{"name":"2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126826785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-09DOI: 10.1109/ESGCO55423.2022.9931363
Diego Cajal, E. Gil, P. Laguna, C. Varon, D. Testelmans, B. Buyse, Chris Jensen, Rohan Hoare, R. Bailón, J. Lázaro
A new index for sleep apnea stratification is proposed. This index is based on the detection of the frequencies at which cyclic variations of the heart rate (CVHR) occur in segments with abnormal breathing. A CVHR detector is also proposed. When this detector is used, the proposed index has a correlation of r = 0.68 with the apnea-hypopnea index. The absence of correlation when the CVHR detector is not used suggests that CVHR detection is necessary for a correct evaluation. Clinical Relevance-The index is obtained from a photoplethysmography-derived signal. This is a further step in the detection and stratification of sleep disorders with minimally invasive sensors and wearables
{"title":"Sleep apnea severity stratification by an FFT-based PPG-derived index","authors":"Diego Cajal, E. Gil, P. Laguna, C. Varon, D. Testelmans, B. Buyse, Chris Jensen, Rohan Hoare, R. Bailón, J. Lázaro","doi":"10.1109/ESGCO55423.2022.9931363","DOIUrl":"https://doi.org/10.1109/ESGCO55423.2022.9931363","url":null,"abstract":"A new index for sleep apnea stratification is proposed. This index is based on the detection of the frequencies at which cyclic variations of the heart rate (CVHR) occur in segments with abnormal breathing. A CVHR detector is also proposed. When this detector is used, the proposed index has a correlation of r = 0.68 with the apnea-hypopnea index. The absence of correlation when the CVHR detector is not used suggests that CVHR detection is necessary for a correct evaluation. Clinical Relevance-The index is obtained from a photoplethysmography-derived signal. This is a further step in the detection and stratification of sleep disorders with minimally invasive sensors and wearables","PeriodicalId":199691,"journal":{"name":"2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128180220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-09DOI: 10.1109/ESGCO55423.2022.9931362
Pablo Armañac-Julián, Adrián Martín-Montero, J. Lázaro, S. Kontaxis, D. Álvarez, D. Gozal, R. Hornero, P. Laguna, G. Gutiérrez-Tobal, R. Bailón, E. Gil
Previous studies, through heart rate variability (HRV) analysis, revealed an increased sympathetic dominance during sleep in patients suffering from obstructive sleep apnea (OSA). However, a separate analysis comparing episodes of apnea and normal breathing during sleep has not been per-formed, to characterize whether the increased sympathetic dominance is just due to the instantaneous autonomic response to each apnea or there is a sustained sympathetic activation. The HRV metrics evaluated are the temporal and frequency HRV indices, along with new spectral bands, recently identified as specific for pediatric patients diagnosed with OSA. Nonpar-ametric paired statistical test exhibits clear significant differ-ences in HRV, comparing for each patient values in apnea events and normal breathing during sleep and such findings are applicable for all HRV metrics except RMSSD and HF band power, whose significance during apnea events is questionable. While all previous studies analyzed HRV either for the over-night recordings or after removing the apnea events, results obtained in this work highlight the need to perform the analysis separately, both in apnea events and in normal breathing.
{"title":"Characterization of Changes in HRV Metrics During Sleep Apnea Episodes in Pediatric Patients","authors":"Pablo Armañac-Julián, Adrián Martín-Montero, J. Lázaro, S. Kontaxis, D. Álvarez, D. Gozal, R. Hornero, P. Laguna, G. Gutiérrez-Tobal, R. Bailón, E. Gil","doi":"10.1109/ESGCO55423.2022.9931362","DOIUrl":"https://doi.org/10.1109/ESGCO55423.2022.9931362","url":null,"abstract":"Previous studies, through heart rate variability (HRV) analysis, revealed an increased sympathetic dominance during sleep in patients suffering from obstructive sleep apnea (OSA). However, a separate analysis comparing episodes of apnea and normal breathing during sleep has not been per-formed, to characterize whether the increased sympathetic dominance is just due to the instantaneous autonomic response to each apnea or there is a sustained sympathetic activation. The HRV metrics evaluated are the temporal and frequency HRV indices, along with new spectral bands, recently identified as specific for pediatric patients diagnosed with OSA. Nonpar-ametric paired statistical test exhibits clear significant differ-ences in HRV, comparing for each patient values in apnea events and normal breathing during sleep and such findings are applicable for all HRV metrics except RMSSD and HF band power, whose significance during apnea events is questionable. While all previous studies analyzed HRV either for the over-night recordings or after removing the apnea events, results obtained in this work highlight the need to perform the analysis separately, both in apnea events and in normal breathing.","PeriodicalId":199691,"journal":{"name":"2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"40 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132430975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-09DOI: 10.1109/ESGCO55423.2022.9931364
Hélder Pinto, C. Dias, Y. Antonacci, L. Faes, A. P. Rocha
The sustainment and/or resurgence of Plateau Waves (PWs) reveals a borderline cerebral situation of the pressure-volume relationship and is related to increased mortality. The intense systemic stress caused by PW s can be evidenced by the study of Heart Rate Variability (HRV), which is an indicator of the activity of the autonomic nervous system, namely the sympathetic and parasympathetic imbalance. In this work, heart and brain crosstalk interactions will be analyzed using a spectral decomposition of multivariate information mea-sures, which provides frequency-specific quantification of the information shared between a target and two source time series. The spectral measures of information herein analyzed, inte-grated within specific frequency bands of physiological interest reflect the mechanisms of the cardiovascular/cerebrovascular regulation on this episodes of pathological stress.
{"title":"Frequency Domain Information Decomposition: Application to Plateau Waves of Intracranial Pressure","authors":"Hélder Pinto, C. Dias, Y. Antonacci, L. Faes, A. P. Rocha","doi":"10.1109/ESGCO55423.2022.9931364","DOIUrl":"https://doi.org/10.1109/ESGCO55423.2022.9931364","url":null,"abstract":"The sustainment and/or resurgence of Plateau Waves (PWs) reveals a borderline cerebral situation of the pressure-volume relationship and is related to increased mortality. The intense systemic stress caused by PW s can be evidenced by the study of Heart Rate Variability (HRV), which is an indicator of the activity of the autonomic nervous system, namely the sympathetic and parasympathetic imbalance. In this work, heart and brain crosstalk interactions will be analyzed using a spectral decomposition of multivariate information mea-sures, which provides frequency-specific quantification of the information shared between a target and two source time series. The spectral measures of information herein analyzed, inte-grated within specific frequency bands of physiological interest reflect the mechanisms of the cardiovascular/cerebrovascular regulation on this episodes of pathological stress.","PeriodicalId":199691,"journal":{"name":"2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122444172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-09DOI: 10.1109/ESGCO55423.2022.9931381
D. Cysarz, F. Edelhäuser
Relevant properties of heart period dynamics can be analyzed by methods derived from symbolic dynamics. However, a lot of information is lost especially if the RR tachogram is transformed to a binary representation. Here, we aim to complement measures of binary symbolic dynamics by properties closely related to the binary representation, i.e. runs of accelerations and decelerations of heart period as basic characteristics underlying heart rate variability. This approach is applied to 1079 RR tachograms from healthy subjects covering the entire adulthood (age range: 18 to 84 years). Each parameter was analyzed per age decade. The average RR interval increased at old age compared to the youngest age group (median RR interval 839 ms vs. 970 ms). SDNN was constant up to 39 years and declined for older subjects (56 ms vs. 36 ms). Binary symbolic indices were derived from acceleration and deceleration of heart period. P1V, i.e. binary patterns of length 3 with one variation, decreased for elderly (>70 years, 53,4%) compared to young ages (<29 years, 66,3%). At the same time P2V, i.e. binary patterns with two variations, increased (14,7% vs. 22,7%). The cumulative accelerations and decelerations were largest for youngest subjects and decreased subsequently and was low in the age group 40 to 49 years (accelerations: −73 ms vs. −37 ms, decelerations. 64 ms vs. 34 ms). The analysis of runs of accelerations and decelerations provides information complementing results from binary symbolic dynamics.
心脏周期动力学的相关性质可以用符号动力学的方法来分析。但是，如果将RR行车图转换为二进制表示，则会丢失大量信息。在这里，我们的目标是通过与二进制表示密切相关的特性来补充二进制符号动力学的测量，即心跳周期的加速和减速作为心率变异性的基本特征。该方法应用于1079个健康受试者的RR行车图，涵盖整个成年期(年龄范围:18至84岁)。每个参数按年龄10年进行分析。与最年轻的年龄组相比，老年组的平均RR间隔增加(中位RR间隔839 ms对970 ms)。SDNN持续到39岁，在老年受试者中下降(56 ms vs 36 ms)。由心跳周期的加速和减速推导出二进制符号指标。P1V，即长度为3且有一个变异的二元模式，老年人(>70岁)比年轻人(<29岁，66.3%)降低了53,4%。与此同时，P2V，即具有两种变化的二进制模式，增加了(14.7%对22.7%)。累积加速和减速在最年轻的受试者中最大，随后下降，在40至49岁的年龄组中较低(加速:−73 ms vs.−37 ms，减速)。64毫秒vs. 34毫秒)。对加速和减速运行的分析提供了二进制符号动力学结果的信息补充。
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