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https://www.readbyqxmd.com/read/28227934/effect-of-embedding-dimension-on-complexity-measures-in-identifying-arrhythmia
#1
Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Radhagayathri K Udhayakumar, Chandan Karmakar, Peng Li, Marimuthu Palaniswami, Marimuthu Palaniswami, Radhagayathri K U Udhayakumar, Peng Li, Chandan Karmakar
Entropy measures like Approximate entropy (ApEn) and Sample entropy (SampEn) are well established tools to analyze Heart Rate Variability (HRV) data. Critical parameters involved in these computations namely embedding dimension m and tolerance r are in most cases assumed to be 2 and 0.2*signal SD (standard devaition) respectively. Such assumptions do not work fairly across data sets and thus create misleading results in many cases. Problems with r have been addressed with the advent of newer entropy measures like Permutation entropy (PE), Fuzzy entropy (FuzzyEn) and Distribution entropy (DistEn) that simply eliminate, modify or replace r from calculations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227775/3d-anatomical-reconstruction-of-human-cardiac-conduction-system-and-simulation-of-bundle-branch-block-after-tavi-procedure
#2
Andrew J Atkinson, Sanjay R Kharche, Michael G Bateman, Paul A Iaizzo, Halina Dobrzynski, Andrew J Atkinson, Sanjay R Kharche, Michael G Bateman, Paul A Iaizzo, Halina Dobrzynski, Andrew J Atkinson, Paul A Iaizzo, Halina Dobrzynski, Sanjay R Kharche, Michael G Bateman
The cardiac conduction system (CCS) is responsible for the initiation and propagation of action potentials through the heart ensuring efficient pumping of blood. Understanding the anatomy of the CCS and its relationship with other major cardiac components is important to help understand arrhythmias and how certain procedures may increase the incidence of arrhythmias developing. We sectioned a whole human heart and performed Masson's trichrome histology in order to identify the components of the CCS. The histology images were used to construct a 3D anatomical model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227714/an-efficient-ecg-baseline-removal-filter-based-on-frequency-response-masking-technique-for-wearable-applications
#3
Boxiao Liu, Guoxing Wang, Yong Lian, Boxiao Liu, Guoxing Wang, Yong Lian, Guoxing Wang, Yong Lian, Boxiao Liu
This paper presents a computationally efficient FIR (finite impulse response) filter for ECG (electrocardiogram) baseline wander removal. The proposed filter is based on frequency-response masking (FRM) technique, which reduces the number of multiplications by 90% compared to the conventional FIR filter. The filter specifications are optimized to obtain the highest SNR (signal-to-noise ratio) while minimizing the number of filter coefficients. The SNR performance of the proposed filter is evaluated using ECG signals from MIT-BIH Arrhythmia Database with added baseline noises from MIT-BIH Noise Stress Test Database...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227713/gpu-based-cloud-system-for-high-performance-arrhythmia-detection-with-parallel-k-nn-algorithm
#4
Tae Joon Jun, Hyun Ji Park, Hyuk Yoo, Young-Hak Kim, Daeyoung Kim, Tae Joon Jun, Hyun Ji Park, Hyuk Yoo, Young-Hak Kim, Daeyoung Kim, Tae Joon Jun, Hyun Ji Park, Young-Hak Kim, Daeyoung Kim, Hyuk Yoo
In this paper, we propose an GPU based Cloud system for high-performance arrhythmia detection. Pan-Tompkins algorithm is used for QRS detection and we optimized beat classification algorithm with K-Nearest Neighbor (K-NN). To support high performance beat classification on the system, we parallelized beat classification algorithm with CUDA to execute the algorithm on virtualized GPU devices on the Cloud system. MIT-BIH Arrhythmia database is used for validation of the algorithm. The system achieved about 93...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227702/socioeconomic-status-age-and-heart-rate-variability-in-a-bangladeshi-community
#5
Nishat E-Sharmin Trisha, Herbert F Jelinek, Mika P Tarvainen, David J Cornforth, Dewan S Alam, Megan Smith, Nishat E-Sharmin Trisha, Herbert F Jelinek, Mika P Tarvainen, David J Cornforth, Dewan S Alam, Megan Smith, Herbert F Jelinek, David J Cornforth, Megan Smith, Nishat E-Sharmin Trisha, Dewan S Alam, Mika P Tarvainen
Socioeconomic status (SES) is a risk factor for cardiovascular disease (CVD) and either low or high heart rate variability (HRV) at rest has been shown to predict cardiovascular morbidity and mortality. The study investigated the extent HRV features can predict SES. Four hundred and twenty eight people were randomly selected from the commercial districts (high SES) and slum areas (low SES) within Dhaka city. Demographic, clinical, and HRV features were recorded. Of the clinical variables age, waist circumference and diastolic blood pressure (p<;0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227569/efficient-compressive-sensing-of-ecg-segments-based-on-machine-learning-for-qrs-based-arrhythmia-detection
#6
Jeevan K Pant, Sridhar Krishnan, Jeevan K Pant, Sridhar Krishnan, Jeevan K Pant, Sridhar Krishnan
A novel method for efficient telemonitoring of arrhythmia based on using QRS complexes is proposed. Two features, namely, sum of absolute differences (SAD) and maximum of absolute differences (MAD) are efficiently computed for each ECG segment in the bio-sensor. The computed features can be transmitted from the bio-sensor using wireless channel, and they can be used in the receiver for determining the absence of QRS complex in the segment. By avoiding computationally expensive signal reconstruction for the ECG segments without QRS complex, it is shown, using simulation results, that computation time can be reduced by approximately 7...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227493/recommendations-for-antiarrhythmic-drugs-based-on-latent-semantic-analysis-with-fc-means-clustering
#7
Juyoung Park, Mingon Kang, Junbeom Hur, Kyungtae Kang, Juyoung Park, Mingon Kang, Junbeom Hur, Kyungtae Kang, Mingon Kang, Junbeom Hur, Juyoung Park, Kyungtae Kang
In this paper, we propose a novel model for the appropriate recommendation of antiarrhythmic drugs by introducing a fusion of a latent semantic analysis and k-means clustering. Our model not only captures the latent factors between the types of arrhythmia and patients but also has the ability to search a group of patients with similar arrhythmias. The performance studies conducted against the MIT-BIH arrhythmia database show that clinicians accepted 66.67% of the drugs recommended from our model with a balanced f-score of 38...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227487/e-health-prototype-system-for-cardiac-telemonitoring
#8
Laura Juliana Vargas Escobar, Sergio Alexander Salinas, Laura Juliana Vargas Escobar, Sergio Alexander Salinas, Sergio Alexander Salinas, Laura Juliana Vargas Escobar
This paper presents the approach of an e-health system for cardiac telemonitoring which uses the development board LinkIt ONE as a monitoring system. Such board was adapted to measure the cardiac pulse, analyze it and determine whether a person is having a cardiac arrhythmia or not. When an arrhythmia appears, the prototype activates an alarm in order to report the patient's condition and its location to a caregiver or a close healthcare center. The data of the cardiac pulse is originated in an e-health sensor platform connected to an Arduino...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227480/detection-of-atrial-fibrillation-with-seismocardiography
#9
Mikko Pankaala, Tero Koivisto, Olli Lahdenoja, Tuomas Kiviniemi, Antti Saraste, Tuija Vasankari, Juhani Airaksinen, Mikko Pankaala, Tero Koivisto, Olli Lahdenoja, Tuomas Kiviniemi, Antti Saraste, Tuija Vasankari, Juhani Airaksinen, Tero Koivisto, Olli Lahdenoja, Tuomas Kiviniemi, Antti Saraste, Tuija Vasankari, Mikko Pankaala, Juhani Airaksinen
In this paper we study the feasibility of seismocardiography (SCG) for the detection of Atrial Fibrillation (AF). In this preclinical study, data acquired from one patient having paroxysmal AF (no other heart diseases) is used to introduce specific changes in SCG signal due to AF. Observed changes and phenomena create a foundation for the development of SCG-based AF detection algorithms. SCG data was recorded from the sternum of an AF patient in dorso-ventral direction while at rest in a supine position using a three-axis high precision MEMS accelerometer simultaneously with a one-lead ECG...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227341/applicability-of-multiresolution-wavelet-analysis-for-qrs-waves-detection
#10
Aleksandr A Fedotov, Anna S Akulova, Sergey A Akulov, Aleksandr A Fedotov, Anna S Akulova, Sergey A Akulov, Aleksandr A Fedotov, Anna S Akulova, Sergey A Akulov
The aim of this study is to create highly effective QRS-detector of electrocardiographic (ECG) signal based on the multiresolution wavelet analysis, set of nonlinear transforms and adaptive thresholding. The efficiency of various QRS-waves detectors for processing model ECG signals contaminated by artificially simulated intensive noise and artifacts was researched. The performance of the proposed method as well as some other well-known algorithms for QRS-waves detection was further verified for clinical ECG recordings from the Physionet MIT-BIH Arrhythmia database...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227260/automated-detection-of-atrial-fibrillation-episode-using-novel-heart-rate-variability-features
#11
Mehrin Gilani, J Mikael Eklund, Masoud Makrehchi, Mehrin Gilani, J Mikael Eklund, Masoud Makrehchi, J Mikael Eklund, Masoud Makrehchi, Mehrin Gilani
Atrial fibrillation (AF) is one of the most common life-threatening arrhythmia affecting around six million adults in the US. Typical detection of AF requires tedious and manual analysis of ECG which can often delay medical intervention. With the advent of wearable devices that can accurately record the time interval between two heartbeats (RR interval), automated and timely detection of AF is now possible. In this paper, we engineer novel heart rate variability features based on linear and non-linear dynamics of RR intervals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227158/interventional-placement-of-thin-coil-shaped-implants-powered-wirelessly-for-monitoring-vital-signals-and-controlling-abnormal-activities-by-electro-stimulation
#12
Hidetoshi Ohta, Masanobu Honda, Makoto Takamiya, Hidetoshi Ohta, Masanobu Honda, Makoto Takamiya, Masanobu Honda, Hidetoshi Ohta, Makoto Takamiya
Various types of implants are being commonly used for monitoring vital signals and controlling the critically ill patient's condition such as arrhythmia, sick sinus syndrome, etc. For implanting these medical devices under the skin, surgery is inevitable. These days many patients are more willing to accept interventional therapies that are less invasive, especially inserting a catheter into a blood vessel or endoscopy through a natural orifice. To be able to use interventional therapy for implanting medical devices, they will need to be small enough to fit them through a catheter or the forceps channel of an endoscope...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227088/detection-of-the-propagating-direction-of-electrical-wavefront-in-atrial-fibrillation
#13
Dongping Du, Yuncheng Du, Dongping Du, Yuncheng Du, Dongping Du, Yuncheng Du
Atrial Fibrillation (AF) is one of the most common sustained arrhythmia, which can increase the risk of heart failure and stroke. Understanding the complex electrical dynamics of AF and correctly targeting AF sources for ablation therapies remain challenging in clinical practice. This is due to the incapability to reconstruct the electrical dynamic of AF, and lack of efficient approach for AF source identification. This paper builds a multi-sale framework for modeling of the abnormal electrical propagation in AF initiated by triggers from Pulmonary Veins (PVs)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227086/catheter-simulator-software-tool-to-generate-electrograms-of-any-multi-polar-diagnostic-catheter-from-3d-atrial-tissue
#14
Kristina E Shillieto, Prasanth Ganesan, Anthony J Salmin, Elizabeth M Cherry, Arkady M Pertsov, Behnaz Ghoraani, Kristina E Shillieto, Prasanth Ganesan, Anthony J Salmin, Elizabeth M Cherry, Arkady M Pertsov, Behnaz Ghoraani, Arkady M Pertsov, Behnaz Ghoraani, Anthony J Salmin, Kristina E Shillieto, Elizabeth M Cherry, Prasanth Ganesan
Simulations are excellent tools for assessing new therapeutic strategies and are often conducted before implementing new therapy options in a clinical practice. For patients suffering from a heart arrhythmia, the main source of information comes from an intracardiac catheter. One of the common catheters is a Lasso multi-pole diagnostic catheter, which is a catheter that has 20 electrodes in a circular pattern. In this paper, we developed algorithm and simulation software that allows the users to place a multi-pole catheter on the atrial endocardial surface and record electrograms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227034/a-novel-algorithm-for-reducing-false-arrhythmia-alarms-in-intensive-care-units
#15
Chandan Srivastava, Sonal Sharma, Ali Jalali, Chandan Srivastava, Sonal Sharma, Ali Jalali, Ali Jalali, Chandan Srivastava, Sonal Sharma
Alarm fatigue in intensive care units (ICU) is one of the top healthcare issues in the US. False alarms in ICU will decrease the quality of care and staff response time over the alarms. Normally, false alarm will cause desensitization of the clinical staff which leads to warnings and misleading, if the triggered alarm is true. In this study, we have proposed a multi-model ensemble approach to reduce the false alarm rate in monitoring systems. We have used 750 patient records from PhysioNet database. At First arrhythmia based features from electrocardiogram (ECG), arterial blood pressure (ABP) and photoplethysmogram (PPG) features were extracted from the records...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227008/risk-prediction-for-cardiovascular-disease-using-ecg-data-in-the-china-kadoorie-biobank
#16
Yanting Shen, Yang Yang, Sarah Parish, Zhengming Chen, Robert Clarke, David A Clifton, Yanting Shen, Yang Yang, Sarah Parish, Zhengming Chen, Robert Clarke, David A Clifton, Yang Yang, Zhengming Chen, Yanting Shen, David A Clifton, Robert Clarke, Sarah Parish
We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of cardiovascular disease in a very large cohort study of the Chinese population. We performed this investigation by (i) detecting "abnormality" using 3 one-class classification methods, and (ii) predicting probabilities of "normality", arrhythmia, ischemia, and hypertrophy using a multiclass approach. For one-class classification, we considered 5 possible definitions for "normality" and used 10 automatically-extracted ECG features along with 4 blood pressure features...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226649/heart-rate-independent-qt-variability-component-can-detect-subclinical-cardiac-autonomic-neuropathy-in-diabetes
#17
Mohammad H Imam, Chandan K Karmakar, Ahsan H Khandoker, Herbert F Jelinek, M Palaniswami, Mohammad H Imam, Chandan K Karmakar, Ahsan H Khandoker, Herbert F Jelinek, M Palaniswami, Ahsan H Khandoker, Herbert F Jelinek, Chandan K Karmakar, Mohammad H Imam, M Palaniswami
Cardiac autonomic neuropathy (CAN) may lead to life threatening arrhythmia due to denervation of both the parasympathetic and sympathetic branches of autonomic nervous system innervating the heart. CAN is a frequently under diagnosed complication of diabetes, because a patient can have asymptomatic CAN for several years before it is clinically apparent. However, detection of CAN at the early or subclinical stage leads to more effective treatment outcomes. Cardiac autonomic reflex tests (CART) (i.e. Ewing test battery) are normally used for the detection and staging of CAN...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226611/beat-to-beat-variability-of-p-wave-in-patients-suffering-from-atrial-fibrillation
#18
Federica Censi, Giovanni Calcagnini, Eugenio Mattei, Alessandro Ricci, Ivan Corazza, Elisa Reggiani, Giuseppe Boriani, Federica Censi, Giovanni Calcagnini, Eugenio Mattei, Alessandro Ricci, Ivan Corazza, Elisa Reggiani, Giuseppe Boriani, Elisa Reggiani, Giuseppe Boriani, Ivan Corazza, Alessandro Ricci, Federica Censi, Eugenio Mattei, Giovanni Calcagnini
The aim of this paper was to analyze the P-wave variability over time in patients suffering from Atrial Fibrillation (AF). Behind some time-domain and morphological features of the P-wave template, two novel indexes of P-wave variability have been estimated: one based on the cross-correlation coefficients among the P-waves (Correlation Index, CI), and one associated to variation of P-waves amplitude (Amplitude Index, AI). These indexes were estimated in two experimental models: patients suffering from persistent AF respect to control subjects and patients developing post-operative AF (POAF) after coronary artery bypass grafting respect to patients without POAF...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226575/wearable-ecg-platform-for-continuous-cardiac-monitoring
#19
S P Preejith, R Dhinesh, Jayaraj Joseph, Mohanasankar Sivaprakasam, S P Preejith, R Dhinesh, Jayaraj Joseph, Mohanasankar Sivaprakasam, R Dhinesh, Mohanasankar Sivaprakasam, S P Preejith, Jayaraj Joseph
An ultra-low power ECG platform for continuous and minimally intrusive monitoring for systems with minimal processing capabilities, is presented in this paper. The platform is capable of detecting abnormalities in the ECG signal by extracting and analyzing features related to various cardiac trends. The platform is built to continuously operate on any of the 12 leads and the presented work includes a single lead implementation that works on lead I or II. A single lead, wearable ECG patch that can detect rhythm based arrhythmias and continuously monitor beat-to-beat heart rate and respiratory rate has been developed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226552/patient-specific-detection-of-ventricular-tachycardia-in-remote-continuous-health-devices
#20
Amit Juneja, Michael Marefat, Amit Juneja, Michael Marefat, Amit Juneja, Michael Marefat
Ventricular Tachycardia (VT) is a dangerous arrhythmic event which can lead to sudden cardiac death if not detected and taken care of in time. This work uses non-linear features derived from Recurrence Quantification Analysis (RQA) along with Kolmogorov complexity, by analyzing the ECG signals, to train a classifier which can predict VT prior to their onset in remote continuous health devices. Compressed ECG signal along with amplitude ranges extracted from the ECG signal are used as features to strengthen the classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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