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https://www.readbyqxmd.com/read/28231511/automated-diagnosis-of-congestive-heart-failure-using-dual-tree-complex-wavelet-transform-and-statistical-features-extracted-from-2s-of-ecg-signals
#1
Vidya K Sudarshan, U Rajendra Acharya, Shu Lih Oh, Muhammad Adam, Jen Hong Tan, Chua Kuang Chua, Kok Poo Chua, Ru San Tan
Identification of alarming features in the electrocardiogram (ECG) signal is extremely significant for the prediction of congestive heart failure (CHF). ECG signal analysis carried out using computer-aided techniques can speed up the diagnosis process and aid in the proper management of CHF patients. Therefore, in this work, dual tree complex wavelets transform (DTCWT)-based methodology is proposed for an automated identification of ECG signals exhibiting CHF from normal. In the experiment, we have performed a DTCWT on ECG segments of 2s duration up to six levels to obtain the coefficients...
February 7, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28230745/toward-improving-electrocardiogram-ecg-biometric-verification-using-mobile-sensors-a-two-stage-classifier-approach
#2
Robin Tan, Marek Perkowski
Electrocardiogram (ECG) signals sensed from mobile devices pertain the potential for biometric identity recognition applicable in remote access control systems where enhanced data security is demanding. In this study, we propose a new algorithm that consists of a two-stage classifier combining random forest and wavelet distance measure through a probabilistic threshold schema, to improve the effectiveness and robustness of a biometric recognition system using ECG data acquired from a biosensor integrated into mobile devices...
February 20, 2017: Sensors
https://www.readbyqxmd.com/read/28229912/mid-diastolic-left-ventricular-volume-and-mass-normal-values-for-coronary-computed-tomography-angiography
#3
Daniel Juneau, Fernanda Erthal, Owen Clarkin, Atif Alzahrani, Ali Alenazy, Alomgir Hossain, Joao R Inacio, Girish Dwivedi, Alexander J Dick, Frank J Rybicki, Benjamin J W Chow
BACKGROUND: The adoption of prospectively ECG-triggered acquisition coronary computed tomography angiography (CTA) has resulted in the inability to measure left ventricle (LV) end-diastolic volume and LV ejection fraction. However other prognostic measures such as LV mass and LV mid-diastolic volume (LVMDV) can still be assessed. The objective of this study is to establish normal reference values for LVMDV and LV mass. METHODS: Left ventricular mid-diastolic volumes and LV mass were prospectively measured in 2647 consecutive 'normal' patients undergoing prospectively ECG-triggered coronary CTA...
February 10, 2017: Journal of Cardiovascular Computed Tomography
https://www.readbyqxmd.com/read/28229823/cardiovascular-complications-in-paediatric-onset-systemic-lupus-erythematosus-in-saudi-arabian-patients
#4
Ahmad S Azhar, Omneyah Mohamed Awlia, Mohammed A Muzaffer
OBJECTIVES: To assess the prevalence and types of cardiovascular complications in Saudi patients with paediatric-onset systemic lupus erythematosus (pSLE). METHODS: Retrospective record review of pSLE patients following from January 2014 to September 2015 at the rheumatology clinic of King Abdul-Aziz University Hospital, Jeddah. Laboratory data such as C-reactive protein (CRP), antinuclear antibodies (ANA), anti-double stranded DNA antibody (anti-dsDNA), C3 and C4 complements, were collected...
February 10, 2017: Clinical and Experimental Rheumatology
https://www.readbyqxmd.com/read/28228311/cardiogoniometry-in-psoriatic-patients-and-its-comparison-with-a-control-group
#5
Hoorak Poorzand, Bita Kiafar, Fardideh Asadzadeh Heravi, Mohammad Vejdanparast, Azadeh Saki, Mohammad Tayebi, Negar Morovatdar, Neda Karimabadi
BACKGROUND: Cardiogoniometry (CGM), a spatiotemporal electrocardiologic method may be useful as a cardiovascular diagnostic tool. Increased incidence of coronary artery or myocardial involvement and defects in automatic setting of heart activity have been reported in psoriasis which could be related to the presence of systemic inflammation. Cardiogoniometry and the related parameters have been used in this study as a diagnostic technique in psoriasis patients. METHODS: Thirty patients with psoriasis and 30 healthy, age and sex-matched individuals with no history of cardiovascular diseases or traditional coronary risk factors were enrolled...
January 2017: Indian Heart Journal
https://www.readbyqxmd.com/read/28227982/analysis-of-the-sleep-eeg-in-the-complexity-domain
#6
Sara Mariani, Ana F T Borges, Teresa Henriques, Robert J Thomas, Samuel J Leistedt, Paul Linkowski, Jean-Pol Lanquart, Ary L Goldberger, Madalena D Costa, Sara Mariani, Ana F T Borges, Teresa Henriques, Robert J Thomas, Samuel J Leistedt, Paul Linkowski, Jean-Pol Lanquart, Ary L Goldberger, Madalena D Costa, Teresa Henriques, Robert J Thomas, Madalena D Costa, Samuel J Leistedt, Paul Linkowski, Ary L Goldberger, Jean-Pol Lanquart, Sara Mariani, Ana F T Borges
Conventional sleep analysis relies primarily on electroencephalogram (EEG) waveform features assessed in concert with eye movements, respiration and muscle tone. We explore a complementary "complexity domain" approach based on multiscale entropy (MSE) analysis of EEG signals and discuss its relationships to standard sleep analysis and to that based on electrocardiogram (ECG)-derived cardiopulmonary coupling (CPC). We observe a progressive decrease in complexity associated with decreased arousability, as measured by both conventional sleep scoring and CPC analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227974/heart-rate-variability-as-a-biomarker-for-sedation-depth-estimation-in-icu-patients
#7
Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, M Brandon Westover, Sunil B Nagaraj, Siddharth Biswal, Sowmya M Ramaswamy, Lauren M Mcclain, David W Zhou, Emily J Boyle, Patrick L Purdon, Eric S Rosenthal
An automated patient-specific system to classify the level of sedation in ICU patients using heart rate variability signal is presented in this paper. ECG from 70 mechanically ventilated adult patients with administered sedatives in an ICU setting were used to develop a support vector machine based system for sedation depth monitoring using several heart rate variability measures. A leave-one-subject-out cross validation was used for classifier training and performance evaluations. The proposed patient-specific system provided a sensitivity, specificity and an AUC of 64%, 84...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227926/a-fast-approximation-method-for-principal-component-analysis-applied-to-ecg-derived-respiration-for-osa-detection
#8
Nadi Sadr, Philip de Chazal, Nadi Sadr, Philip de Chazal, Nadi Sadr, Philip de Chazal
In this paper, we present an approximation method for principal component analysis (PCA) and apply it to estimating the respiration from the overnight ECG signal. The approximation method is computationally fast with low memory requirements. We compare it to a full PCA method which is applied to segments of the ECG. Features were calculated from the two ECG derived respiration signals (EDR) and classifiers trained to detect obstructive sleep apnoea (OSA). The Extreme Learning Machine and Linear Discriminant classifier were used to classify the recordings...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227895/a-fabric-wrist-patch-sensor-for-continuous-and-comprehensive-monitoring-of-the-cardiovascular-system
#9
Kwonjoon Lee, Kiseok Song, Taehwan Roh, Hoi-Jun Yoo, Kwonjoon Lee, Kiseok Song, Taehwan Roh, Hoi-Jun Yoo, Kwonjoon Lee, Kiseok Song, Taehwan Roh, Hoi-Jun Yoo
The wrist patch-type ECG/APW sensor system is proposed for continuous and comprehensive monitoring of the patient's cardiovascular system. The wrist patch-type ECG/APW sensor system is consists of ECG/APW sensor, ECG/APW electrodes, and base station for real-time monitoring of the patient's status. The ECG/APW sensor and electrodes are composed of wrist patch, bandage-type ECG electrode and fabric APW electrode, respectively so that the patient's cardiovascular system can be continuously monitored in daily life with free hand-movement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227821/dual-modality-arterial-pulse-monitoring-system-for-continuous-blood-pressure-measurement
#10
Wen-Xuan Dai, Yuan-Ting Zhang, Jing Liu, Xiao-Rong Ding, Ni Zhao, Wen-Xuan Dai, Yuan-Ting Zhang, Jing Liu, Xiao-Rong Ding, Ni Zhao, Wen-Xuan Dai, Yuan-Ting Zhang, Xiao-Rong Ding, Ni Zhao, Jing Liu
Accurate and ambulatory measurement of blood pressure (BP) is essential for efficient diagnosis, management and prevention of cardiovascular diseases (CVDs). However, traditional cuff-based BP measurement methods provide only intermittent BP readings and can cause discomfort with the occlusive cuff. Although pulse transit time (PTT) method is promising for cuffless and continuous BP measurement, its pervasive use is restricted by its limited accuracy and requirement of placing sensors on multiple body sites...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227757/feasibility-study-for-the-assessment-of-cardio-respiratory-coupling-in-newborn-infants
#11
Maristella Lucchini, William P Fifer, Manuela Ferrario, Maria G Signorini, Maristella Lucchini, William P Fifer, Manuela Ferrario, Maria G Signorini, Maristella Lucchini, Maria G Signorini, William P Fifer, Manuela Ferrario
Cardio Respiratory Coupling (CRC) plays a key role during infant development. Nonetheless, mechanisms underlying it are still mostly unexplained and tools to assess it are often inadequate to understand its functioning. This study aims to evaluate the feasibility of CRC activity detection and quantification analyzing ECG and respiration of newborn healthy subjects. Cross-spectral analysis (coherence) and a novel application of a nonlinear method (Bivariate Phase Rectified Signal Averaging) were applied on 10 minutes recording from 4 subjects...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227735/tracking-driver-s-heart-rate-by-continuous-wave-doppler-radar
#12
Kwang Jin Lee, Chanki Park, Boreom Lee, Kwang Jin Lee, Chanki Park, Boreom Lee, Chanki Park, Kwang Jin Lee, Boreom Lee
Developing driving safety system with medical assistance devices for preventing accidents has become a major social issue in recent year. These devices have been developed using electrocardiogram (ECG) and photoplethysmogram (PPG) for measuring the heart rate (HR). However, driver should directly contact with the sensor for monitoring the HR. Recently, non-contact system based on continuous-wave Doppler radar has widely studied for monitoring HR. The periodogram by Fast Fourier Transform (FFT) was used for estimating HR...
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
#13
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/28227705/an-affordable-cuff-less-blood-pressure-estimation-solution
#14
Monika Jain, Niranjan Kumar, Sujay Deb, Monika Jain, Niranjan Kumar, Sujay Deb, Monika Jain, Sujay Deb, Niranjan Kumar
This paper presents a cuff-less hypertension pre-screening device that non-invasively monitors the Blood Pressure (BP) and Heart Rate (HR) continuously. The proposed device simultaneously records two clinically significant and highly correlated biomedical signals, viz., Electrocardiogram (ECG) and Photoplethysmogram (PPG). The device provides a common data acquisition platform that can interface with PC/laptop, Smart phone/tablet and Raspberry-pi etc. The hardware stores and processes the recorded ECG and PPG in order to extract the real-time BP and HR using kernel regression approach...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227701/heart-rate-reactivity-associated-to-positive-and-negative-food-and-non-food-visual-stimuli
#15
Pekka Kuoppa, Mika P Tarvainen, Leila Karhunen, Johanna Narvainen, Pekka Kuoppa, Mika P Tarvainen, Leila Karhunen, Johanna Narvainen, Leila Karhunen, Mika P Tarvainen, Pekka Kuoppa, Johanna Narvainen
Using food as a stimuli is known to cause multiple psychophysiological reactions. Heart rate variability (HRV) is common tool for assessing physiological reactions in autonomic nervous system. However, the findings in HRV related to food stimuli have not been consistent. In this paper the quick changes in HRV related to positive and negative food and non-food visual stimuli are investigated. Electrocardiogram (ECG) was measured from 18 healthy females while being stimulated with the pictures. Subjects also filled Three-Factor Eating Questionnaire to determine their eating behavior...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227605/an-accelerometer-based-system-to-measure-myocardial-performance-index-during-stress-testing
#16
Anh Dinh, Francis M Bui, Tam Nguyen, Anh Dinh, Francis M Bui, Tam Nguyen, Tam Nguyen, Anh Dinh, Francis M Bui
Stress testing is used to measure the performance of the heart in an elevated stress state, in order to monitor or diagnose certain heart problems. Many measurements can be used to determine the performance of the heart, with the Tei index being the measurement of interest in this work. The Tei index has been used as a reliable method to evaluate systolic and diastolic performance, as it overcomes some limitations of the classical echocardiographic indices. It is calculated based on the time intervals derived from echocardiography...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227598/real-time-physiological-and-facial-monitoring-for-safe-driving
#17
Yu-Lung Chang, Yen-Cheng Feng, Oscal T-C Chen, Yu-Lung Chang, Yen-Cheng Feng, Oscal T-C Chen, Yen-Cheng Feng, Oscal T-C Chen, Yu-Lung Chang
This work is to develop an intelligent driver-assistance system which can perceive the physiological state of a driver to avoid fatigue driving. The proposed system includes a camera, a wireless ElectroCardioGram (ECG) sensor patch, and a computation platform. The camera in front of a driver is to catch a face image which is processed to obtain features of a mouth for identifying a yawn. The sensor patch records ECG signals which are computed to yield six Heart Rate Variability (HRV) parameters. Seven healthy subjects of 6 males and 1 female had individually driven a car, which was embedded with our system, for 3 hours at a well-known route, mostly in a freeway road...
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
#18
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/28227548/driver-drowsiness-detection-using-the-in-ear-eeg
#19
Taeho Hwang, Miyoung Kim, Seunghyeok Hong, Kwang Suk Park, Taeho Hwang, Miyoung Kim, Seunghyeok Hong, Kwang Suk Park, Kwang Suk Park, Seunghyeok Hong, Miyoung Kim, Taeho Hwang
Driver drowsiness monitoring is one of the most demanded technologies for active prevention of severe road accidents. Electroencephalogram (EEG) and several peripheral signals have been suggested for the drowsiness monitoring. However, each type of signal has partial limitations in terms of either convenience or accuracy. Recent emerged concept of in-ear EEG raises expectations due to reduced obtrusiveness. It is yet unclear whether the in-ear EEG is effective enough for drowsiness detection in comparison with on-scalp EEG or peripheral signals...
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
#20
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
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