{"title":"Autonomic, Cardiovascular and Respiratory Responses to Hyperglycemic Stimulus in Healthy Subjects","authors":"S. Carrasco-Sosa, A. Guillén-Mandujano","doi":"10.22489/CinC.2018.026","DOIUrl":"https://doi.org/10.22489/CinC.2018.026","url":null,"abstract":"In ten healthy subjects we assessed the effects of hyperglycemia, provoked by the ingestion of 75 g of glucose on: R-R intervals (RR), systolic pressure (SP), diastolic pressure (DP), respiratory frequency (RF) and tidal volume (V<inf>T</inf>) 5-min time series; the time course of their low-frequency (LF<inf>RR</inf>, LF<inf>SP</inf>, LF<inf>DP</inf>), high-frequency (HF<inf>RR</inf>, HF<inf>DP</inf>, HF<inf>Res</inf>) powers and their central frequencies (cfLF<inf>DP</inf>, cfHF<inf>RR</inf>, cfHF<inf>DP</inf>), computed by a time-frequency distribution; baroreflex (BRS) and respiratory sinus arrhythmia sensitivities (RSAS), obtained by alpha index and their coherences (cBRS and cRSAS) by cross time-frequency analysis. In relation to control, in hyperglycemia (peak of 143±12 mg/100 ml, p<0.001) 1-min epoch mean values of: LF<inf>RR</inf>, LF<inf>DP</inf>, HF<inf>RR</inf>, HF<inf>Res</inf>, BRS, cBRS, RR, DP and V<inf>T</inf> decreased (p<0.03); cfLF<inf>DP</inf>, cfHF<inf>RR</inf>, RSAS, cRSAS and RF increased (p<0.04); and LF<inf>SP</inf> and SP were similar. Our findings outline an integrative dynamic response to hyperglycemia characterized by: vagal activity inhibition associated to RR shortening; sympathetic outflow inhibition associated to reduced DP, which, via baroreflex with reduced sensitivity and input-output coupling degree, reinforces the vagal reduction; and respiratory activity modification associated to V<inf>T</inf> decrease, RF increase and improved respiratory modulation of cardiovascular function.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131005089","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}
I. Isasi, Ali Bahrami Rad, U. Irusta, M. Zabihi, E. Aramendi, T. Eftestøl, J. Kramer-Johansen, L. Wik
{"title":"ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers","authors":"I. Isasi, Ali Bahrami Rad, U. Irusta, M. Zabihi, E. Aramendi, T. Eftestøl, J. Kramer-Johansen, L. Wik","doi":"10.22489/CinC.2018.202","DOIUrl":"https://doi.org/10.22489/CinC.2018.202","url":null,"abstract":"Interruptions in cardiopulmonary resuscitation (CPR) decrease the chances of survival. However, CPR must be interrupted for a reliable rhythm analysis because chest compressions (CCs) induce artifacts in the ECG. This paper introduces a double-stage shock advice algorithm (SAA) for a reliable rhythm analysis during manual CCs. The method used two configurations of the recursive least-squares (RLS) filter to remove CC artifacts from the ECG. For each filtered ECG segment over 200 shock/no-shock decision features were computed and fed into a random forest (RF) classifier to select the most discriminative 25 features. The proposed SAA is an ensemble of two RF classifiers which were trained using the 25 features derived from different filter configurations. Then, the average value of class posterior probabilities was used to make a final shock/no-shock decision. The dataset was comprised of 506 shockable and 1697 non-shockable rhythms which were labelled by expert rhythm resuscitation reviewers in artifact-free intervals. Shock/no-shock diagnoses obtained through the proposed double-stage SAA were compared with the rhythm annotations to obtain the Sensitivity (Se), Specificity (Sp) and balanced accuracy (BAC) of the method. The results were 93.5%, 96.5% and 95.0%, respectively.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131711587","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}
{"title":"Study of Blood Pressure during Controlled Respiration","authors":"A. Murray, M. Hoshiyama","doi":"10.22489/CinC.2018.023","DOIUrl":"https://doi.org/10.22489/CinC.2018.023","url":null,"abstract":"It is well known that respiration can have significant effects on blood pressure and other physiological features. However, little is known about the stability and patterns of respiration during controlled studies. In this research we compared blood pressure, heart rate, respiration and respiration patterns during normal breathing and breathing associated with relaxation and meditation. Continuous respiration patterns were recorded with ethical permission from normal subjects while seated, over 30-minute periods, with their blood pressure measured at the start and end of each recording period using an automated non-invasive cuff device. The same device was used for all measurements to avoid any device bias. The first set of recordings were made with no instruction on breathing technique. The subjects were then invited to an open lecture on meditation techniques, and given some additional instruction before a second similar 30-minute study period, but with no further instruction or feedback during the recording. Comparing respiration during normal breathing with that during meditation, the average number of full respiratory cycles over the 30-minute periods fell significantly from 355±44 (mean±SD) to 197±80 (p=0.012). There were no significant differences between sequential 10-minute sub-periods in either of the two study periods. The pattern of the respiration waveform during meditation was less skew (0.18±0.20 compared with 0.42±0.24, p=0.004). During normal breathing, systolic and diastolic blood pressure and heart rate fell over the 30-minute period in all subjects, but not significantly. During controlled breathing there were no consistent changes. It is possible that the expected fall in blood pressure and heart rate during meditation was offset by the slower respiration, with the consequent depth of respiration being deeper.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128815717","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}
I. Jekova, S. Tabakov, I. Iliev, V. Tsibulko, Krasimira Kostikova
{"title":"Real-time Detection of Pace Pulses in a Single Lead ECG","authors":"I. Jekova, S. Tabakov, I. Iliev, V. Tsibulko, Krasimira Kostikova","doi":"10.22489/CinC.2018.052","DOIUrl":"https://doi.org/10.22489/CinC.2018.052","url":null,"abstract":"This paper presents an algorithm for real-time pace pulses detection in a single-lead ECG, based on assessment of the cumulative slope of the ECG signal calculated in a narrow time window. The algorithm is trained and tested on an artificial database containing 780 ECGs in lead II (390 for training, 390 for testing) that represent different arrhythmias, combined with artificially superimposed pace pulses, which cover the wide ranges of rising edge $(< 10 {mu s {to}} 100 {mu s})$ and total pulse durations (100 μ s to 2 ms) and correspond to various pacemaker modes. The achieved accuracy is Se=99.3%, PPV=99.0% for ECGs sampled at Fs=32kHz, and Se=97.1%, PPV=96.8% for Fs=16kHz.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125719913","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}
P. Gomis, E. Guasch, A. Perera-Lluna, L. Mont, P. Caminal
{"title":"Analysis of ECG in Athletes Running in Mountain Route Conditions","authors":"P. Gomis, E. Guasch, A. Perera-Lluna, L. Mont, P. Caminal","doi":"10.22489/CinC.2018.382","DOIUrl":"https://doi.org/10.22489/CinC.2018.382","url":null,"abstract":"The purpose of this work is to analyse changes in ECG and heart rate variability (HRV) metrics in athletes during 10 km running in mountain route conditions. Eighteen healthy athletes carrying a 12-lead ECG GE Holter recorder and a heart rate monitor ran a route with slopes similar as trail races. QRS duration, QRS area, R-wave peak, ST elevation at J-point and J+60 ms, ST slope and T-wave peak indices were computed after signal-averaging ECG segments at different sloping stages of running (S1-S6) and at a control stage (S0) before running. HRV analysis included standard time and frequency metrics: mean RR (normal, N) interval, SDNN, RMSSD, low and high frequency absolute and normalized power (LF, HF, LFn, HFn) and LF/HF ratio. QRS area and R-peak were reduced during stage 1 in lateral leads, comparing to rest before running. ST slope was significantly higher during upslope stages in leads II, V4 and V5. T-wave amplitude increased significantly in precordial leads during upload running. ST segment depressed in leads II, III and V5 respect control. Mean RR, SDNN, LF and LFn showed high significant differences (p<0.01) among stages and HF and LF/HF were also varying (p<0.05). Changes of ECG and HRV indices can help understanding the cardiac function in runners performing extreme stress.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116266802","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}
{"title":"Mathematical Modeling of Non-Selective Channels: Estimating Ion Current Fractions and Their Impact on Pathological Simulations","authors":"E. M. Wülfers, P. Kohl, G. Seemann","doi":"10.22489/CinC.2018.329","DOIUrl":"https://doi.org/10.22489/CinC.2018.329","url":null,"abstract":"Currents through non-selective ion channels are often mathematically modeled as an Ohmic current. In such models, quantifying the contributions of different contributing ion species is not easily possible. We present a method to adapt Ohmic descriptions using the Goldman-Hodgkin-Katz equation in order to describe every ion species' contribution to the total channel current. We use our method to adapt a model of Channelrhodopsin-2, a light-gated cation non-selective channel, and test our adaption in single cell and 1-dimensional tissue strand simulations of ventricular tachycardia. Resulting contribution ratios of sodium, potassium and proton currents match expectations and correlate well with previously published data. Simulations of optical defibrillation for ventricular tachycardia show that our model predicts a detrimental outcome in ischaemia-like pathological settings that are missed by the original (Ohmic) model.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127012070","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}
P. Leinveber, J. Halámek, P. Jurák, M. Matejkova, J. Lipoldova, M. Novak
{"title":"Reverse Electrical Remodeling Assessed by High-Frequency QRS Dyssynchrony and QRS Duration","authors":"P. Leinveber, J. Halámek, P. Jurák, M. Matejkova, J. Lipoldova, M. Novak","doi":"10.22489/CinC.2018.339","DOIUrl":"https://doi.org/10.22489/CinC.2018.339","url":null,"abstract":"Reverse electrical remodeling (RER) is usually assessed by measuring the QRS duration (QRSd) before and after cardiac resynchronization therapy (CRT) during the stimulator off. The ventricular electrical depolarization dyssynchrony (DYS) can be assessed directly from ECG by high-frequency QRS analysis. The purpose of the study was to compare the RER assessment by the DYS and QRSd changes in CRT patients. Echocardiography and 12-lead ECG were conducted in 26 CRT recipients. The averaged V1-V6 QRS envelopes were calculated through frequency ranges from 150 to 950Hz. The DYS was assessed from the envelopes, and the QRSd was measured. All the ECG parameters were assessed before, after, and 6 months after the CRT during CRT off. Patients were divided to CRT responders/non-responders by the change of end-systolic volume of the left ventricle in a 6-month follow-up. Mean values of the DYS and QRSd parameters evince significantly shorter values in non-responders before CRT. When compared changes of DYS and QRSd, only DYS parameter is significantly shorter after 6-month follow-up compared with baseline DYS prior CRT. The DYS parameter change as a marker of RER corresponds with reverse structural remodeling assessed by echo cardiography.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133302789","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}
Y. Vives-Gilabert, J. Sanz, A. Cebrián, R. Abad, J. Millet-Roig, E. Zorio, F. Castells
{"title":"Dyssynchrony Assessment in Arrhythmogenic Cardiomyopathy With Left Ventricular Involvement","authors":"Y. Vives-Gilabert, J. Sanz, A. Cebrián, R. Abad, J. Millet-Roig, E. Zorio, F. Castells","doi":"10.22489/CinC.2018.073","DOIUrl":"https://doi.org/10.22489/CinC.2018.073","url":null,"abstract":"Arrhythmogenic cardiomyopathy (AC) is an inherited rare disease that can cause sudden cardiac death. Due to its heterogeneous phenotipe, a compendium of criteria collected in a Task Force Criteria (TFC) have to be met for its diagnosis, being dysshynchrony one of those criteria. The classical form of the disease involves the right ventricle, while the left ventricle AC (AC-LV) has been less studied. We aim to study dyssynchrony in AC-LV patients. The sample consisted of 36 subjects diagnosed with AC-LV and 23 non-affected relatives who were non-carriers of the pathogenic mutation of the proband. From each individual, radial, circumferential and longitudinal strain were obtained in the 16 AHA segments of the myocardium and dyssynchrony was calculated as the standard deviation of the time-to-peak strain. LV ejection fraction (LVEF) was also obtained. Finally, a clustering algorithm was applied to the 3-axis dyssynchronies and the LVEF. The clustering algorithm performed well (silhouette = 0.6) and detected 2 clusters (cluster1 = 23 controls + 19 AC-LV patients and cluster2 = 17 AC-LV patients). Radial dyssynchrony was the feature with the higher predictor importance. In conclusion, 47% of AC-LV patients present impaired dyssynchrony. Radial dyssynchrony was the most affected parameter among all dyssynchronies and LVEF.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133649254","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}
Dorien Huysmans, B. Buyse, D. Testelmans, S. Huffel, C. Varon
{"title":"Unsupervised Artefact Detection and Screening Using Emfit Sensor in Patients With Sleep Apnea","authors":"Dorien Huysmans, B. Buyse, D. Testelmans, S. Huffel, C. Varon","doi":"10.22489/CinC.2018.186","DOIUrl":"https://doi.org/10.22489/CinC.2018.186","url":null,"abstract":"Sleep apnea is one of the most common sleep disorders. As sleep apnea is associated to adverse health outcomes, early screening is promoted through unobtrusive, cheap and simple systems for sleep monitoring. A commercial pressure sensor meeting these requirements is the Emfit QS, which was integrated in a bed of a specialized sleep center. The sensor is pressure based and highly sensitive to movement. This causes artefacts of different morphologies in the signal. An unsupervised artefact detection method was developed to avoid burdensome manual labelling of artefacts in the signal and enabling further analysis. Moreover, the percentage of detected artefacts was useful for assessment of the sleep apnea severity as movements partially originate from apneic arousals. Severe sleep apnea patients could be identified with a sensitivity of 80% and a specificity of 87%. The proposed approach offers an ambivalent tool for artefact detection and unobtrusive screening of sleep apnea patients at home.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115043510","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}
Jue Li, P. Mesirca, A. D’Souza, Yanwen Wang, S. Nakao, Charlotte Cox, J. Hancox, M. Mangoni, M. Boyett
{"title":"Heart Block in the Athlete - Role of Ion Channel Remodelling as Studied Using a One-dimensional Computational Model of the Atrioventricular Node","authors":"Jue Li, P. Mesirca, A. D’Souza, Yanwen Wang, S. Nakao, Charlotte Cox, J. Hancox, M. Mangoni, M. Boyett","doi":"10.22489/CinC.2018.285","DOIUrl":"https://doi.org/10.22489/CinC.2018.285","url":null,"abstract":"In swim-trained mice, we previously observed atrioventricular (AV) node dysfunction characterised by first-degree heart block and a prolonged Wenckebach cycle length. Notably, patch clamp recordings from isolated AV node myocytes demonstrated a significant reduction of If (by ~60%) and ICa,L (by ~40%) in swimtrained mice as compared to sedentary control mice. The effect of the observed changes in ionic currents was investigated using a one-dimensional computational model of the AV node. This was used in conjunction with a biophysically-detailed model of the rabbit AV node action potential. On decreasing If by ~60% and ICa,L by ~40% to mimic the effect of athletic training, the conduction velocity of the AV node model was reduced by 25% from 9.5 to 7.1 cm/s. The reduction was solely the result of the decrease in ICa,L. The decrease in If (modelled in the conventional way as a time-dependent hyperpolarization-activated inward current) had no effect on the conduction velocity, despite experimental evidence that If can affect AV node conduction. However, if the model of If was modified to incorporate an instantaneous current, the decrease in If also contributed to the reduction in the conduction velocity. We conclude that ionic remodelling of the AV node is a key mechanism underlying heart block in the athlete.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114532542","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}