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https://www.readbyqxmd.com/read/28227982/analysis-of-the-sleep-eeg-in-the-complexity-domain
#1
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/28227735/tracking-driver-s-heart-rate-by-continuous-wave-doppler-radar
#2
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
#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/28227705/an-affordable-cuff-less-blood-pressure-estimation-solution
#4
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
#5
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/28227598/real-time-physiological-and-facial-monitoring-for-safe-driving
#6
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/28227548/driver-drowsiness-detection-using-the-in-ear-eeg
#7
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/28227457/evaluation-of-periodic-breathing-in-respiratory-flow-signal-of-elderly-patients-using-svm-and-linear-discriminant-analysis
#8
Sara Argerich, Sergio Herrera, Salvador Benito, Beatriz F Giraldo, Sara Argerich, Sergio Herrera, Salvador Benito, Beatriz F Giraldo, Beatriz F Giraldo, Salvador Benito, Sara Argerich, Sergio Herrera
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The periodic modulation of the amplitude of the breathing pattern is proved to be one of the multiple symptoms of an acute episode, and thus, the features extracted from its characterization contribute in the improvement of the first diagnosis of the clinical practice...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227456/a-morphological-approach-to-detect-respiratory-phases-of-seismocardiogram
#9
N Alamdari, K Tavakolian, V Zakeri, R Fazel-Rezai, A Akhbardeh, N Alamdari, K Tavakolian, V Zakeri, R Fazel-Rezai, A Akhbardeh, V Zakeri, N Alamdari, K Tavakolian, R Fazel-Rezai, A Akhbardeh
This paper presents a new approach to identify the respiratory phases of heart cycles from acceleration signals (i.e., seismocardiogram) recorded from the sternum, in back to front direction. The acceleration signals were recorded simultaneously with a single lead electrocardiogram (ECG), and the respiratory signal (using a chest band strain gauge) from 20 healthy subjects. Two accelerometer-derived respiration (ADR) signals were computed by computing the lower and upper envelope of the accelerometer signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227448/a-pulse-transit-time-based-fusion-method-for-the-noninvasive-and-continuous-monitoring-of-respiratory-rate
#10
Xiao-Rong Ding, Yuan-Ting Zhang, Hon Ki Tsang, Walter Karlen, Xiao-Rong Ding, Yuan-Ting Zhang, Hon Ki Tsang, Walter Karlen, Hon Ki Tsang, Walter Karlen, Yuan-Ting Zhang, Xiao-Rong Ding
The purpose of this study was to investigate whether pulse transit time (PTT) can be used for continuous monitoring of respiratory rate (RR). We derived PTT from the electrocardiogram and photoplethysmogram obtained from 42 recordings of CapnoBase, a publicly available benchmark data set for validating respiratory related measurements. The number of breaths in a minute (RR#) was estimated from the heart rate interval (HRI), pulse rate interval (PRI), and from PTT. In addition, to improve the estimation reliability, we investigated a fusion of the three HRI, PRI and PTT derived estimations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227376/electrocardiogram-reconstruction-from-high-resolution-voltage-optical-mapping
#11
Ilija Uzelac, Conner Herndon, James Farmer, Flavio Fenton, Ilija Uzelac, Conner Herndon, James Farmer, Flavio Fenton, Ilija Uzelac, Conner Herndon, James Farmer, Flavio Fenton
Electrocardiogram recordings during opucal mapping experiments in heart tissue are commonly used tu monitor the health of the preparation and to obtain dominant frequencies during arrhythmic and defibrillatory studies. However the use of ECG reconstructed from optical mapping is seldom used and to date it has not been strictly validated. In this manuscript we present the first detailed validation and comparison of Optical Mapping ECG, or OM-ECG, with standard ECG recordings by calculating the electrostatic potential in space as a function of the voltage measured optically and describe the different approximations that can be used to obtain unipolar or bipolar ECG recordings...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227362/signal-source-estimation-inside-the-human-heart-during-ventricular-activation-using-switching-voltage-divider
#12
Yusuke Sakaue, Masaaki Makikawa, Yusuke Sakaue, Masaaki Makikawa, Masaaki Makikawa, Yusuke Sakaue
A novel signal source estimation method using switching voltage divider technology was developed in our previous works. The aim of this method is to reduce the number of electrodes required for signal source estimation. Using this method, voltage and position information about the signal source inside the human body can be obtained simultaneously. The purpose of this paper is to estimate the changes in the signal source location according to ventricular activation. One healthy male (31 years old) participated in an ECG measurement experiment that utilized switching voltage divider technology...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227347/an-eemd-pca-approach-to-extract-heart-rate-respiratory-rate-and-respiratory-activity-from-ppg-signal
#13
Mohammod Abdul Motin, Chandan Kumar Karmakar, Marimuthu Palaniswami, Mohammod Abdul Motin, Chandan Kumar Karmakar, Marimuthu Palaniswami, Marimuthu Palaniswami, Mohammod Abdul Motin, Chandan Kumar Karmakar
The pulse oximeter's photoplethysmographic (PPG) signals, measure the local variations of blood volume in tissues, reflecting the peripheral pulse modulated by cardiac activity, respiration and other physiological effects. Therefore, PPG can be used to extract the vital cardiorespiratory signals like heart rate (HR), respiratory rate (RR) and respiratory activity (RA) and this will reduce the number of sensors connected to the patient's body for recording vital signs. In this paper, we propose an algorithm based on ensemble empirical mode decomposition with principal component analysis (EEMD-PCA) as a novel approach to estimate HR, RR and RA simultaneously from PPG signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227346/respiratory-rate-estimation-from-multilead-directions-based-on-ecg-delineation
#14
M Noriega, E J Maranon, D Romero, M Orini, R Almeida, M Noriega, E J Maranon, D Romero, M Orini, R Almeida, M Orini, M Noriega, R Almeida, D Romero, E J Maranon
Estimating the instantaneous respiratory rate (Rr) from the electrocardiogram (ECG) is of interest as respiration direct measurement in clinical situations is often cumbersome. In this study, the Rr was estimated from the same Final Directions of maximum projection (FD) used for multi lead ECG automatic delineation. Power spectral analysis over the directions based on QRS complex main peak and T wave onset, peak and end spatial loops was used for Rr estimation. On a subset of the Physionet MGH/MF dataset, the proposed method yielded more accurate Rr estimates (minimum mean absolute error (MAE), 2...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227345/wolff-parkinson-white-wpw-syndrome-the-detection-of-delta-wave-in-an-electrocardiogram-ecg
#15
Hassan Adam Mahamat, Sabir Jacquir, Cliff Khalil, Gabriel Laurent, Stephane Binczak, Hassan Adam Mahamat, Sabir Jacquir, Cliff Khalil, Gabriel Laurent, Stephane Binczak, Stephane Binczak, Sabir Jacquir, Gabriel Laurent, Cliff Khalil
The delta wave remains an important indicator to diagnose the WPW syndrome. In this paper, a new method of detection of delta wave in an ECG signal is proposed. Firstly, using the continuous wavelet transform, the P wave, the QRS complex and the T wave are detected, then their durations are computed after determination of the boundary location (onsets and offsets of the P, QRS and T waves). Secondly, the PR duration, the QRS duration and the upstroke of the QRS complex are used to determine the presence or absence of the delta wave...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227343/application-of-a-new-robust-ecg-t-wave-delineation-algorithm-for-the-evaluation-of-the-autonomic-innervation-of-the-myocardium
#16
Matteo Cesari, Jesper Mehlsen, Anne-Birgitte Mehlsen, Helge Bjarup Dissing Sorensen, Matteo Cesari, Jesper Mehlsen, Anne-Birgitte Mehlsen, Helge Bjarup Dissing Sorensen, Jesper Mehlsen, Helge Bjarup Dissing Sorensen, Matteo Cesari, Anne-Birgitte Mehlsen
T-wave amplitude (TWA) is a well know index of the autonomic innervation of the myocardium. However, until now it has been evaluated only manually or with simple and inefficient algorithms. In this paper, we developed a new robust single-lead electrocardiogram (ECG) T-wave delineation algorithm that is able to detect the T-wave with a wavelet based method and automatically calculate the TWA. We evaluated the algorithm on the QT database, achieving a sensitivity of 99.92% for the T wave peak and 99.38% for the T wave end...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227331/assessing-the-development-of-fetal-myocardial-function-by-a-novel-doppler-myocardial-performance-index
#17
Ahsan H Khandoker, F Marzbanrad, Y Kimura, Saeed Al Nuaimi, M Palaniswami, Ahsan H Khandoker, F Marzbanrad, Y Kimura, Saeed Al Nuaimi, M Palaniswami, Ahsan H Khandoker, Y Kimura, Saeed Al Nuaimi, F Marzbanrad, M Palaniswami
Doppler-derived myocardial performance index are used to assess aspects of systolic and diastolic function in adult as well as fetal heart. The Tei Index (TI) is a useful and non-invasive tool. The aim of this study was to determine normal values of fetal left ventricular (LV) TI in early (16-32 weeks) and late trimester (35-41 weeks) fetuses and to develop a new myocardial performance index (K-index; KI) which focuses on fetal diastolic interval when oxygenated blood from the placenta filled in the LV. Simultaneous recordings of Doppler Ultrasound Signal (DUS) of the LV outflow tracts and fetal electrocardiogram signals were obtained in 55 early- and late-trimester fetuses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227272/heart-rate-monitoring-from-wrist-type-ppg-based-on-singular-spectrum-analysis-with-motion-decision
#18
Yang Wang, Zhiwen Liu, Bin Dong, Yang Wang, Zhiwen Liu, Bin Dong, Yang Wang, Zhiwen Liu, Bin Dong
Heart rate (HR) monitoring is necessary for daily healthcare. Wrist-type photoplethsmography (PPG) is a convenient and non-invasive technique for HR monitoring. However, motion artifacts (MA) caused by subjects' movements can extremely interfere the results of HR monitoring. In this paper, we propose a high accuracy method using motion decision, singular spectrum analysis (SSA) and spectral peak searching for daily HR estimation. The proposed approach was evaluated on 8 subjects under a series of different motion states...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227270/deep-learning-framework-for-detection-of-hypoglycemic-episodes-in-children-with-type-1-diabetes
#19
Phyo Phyo San, Sai Ho Ling, Hung T Nguyen, Phyo Phyo San, Sai Ho Ling, Hung T Nguyen, Sai Ho Ling, Hung T Nguyen, Phyo Phyo San
Most Type 1 diabetes mellitus (T1DM) patients have hypoglycemia problem. Low blood glucose, also known as hypoglycemia, can be a dangerous and can result in unconsciousness, seizures and even death. In recent studies, heart rate (HR) and correct QT interval (QTc) of the electrocardiogram (ECG) signal are found as the most common physiological parameters to be effected from hypoglycemic reaction. In this paper, a state-of-the-art intelligent technology namely deep belief network (DBN) is developed as an intelligent diagnostics system to recognize the onset of hypoglycemia...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227245/monitoring-and-detecting-atrial-fibrillation-using-wearable-technology
#20
Shamim Nemati, Mohammad M Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit Shah, Gari D Clifford, Shamim Nemati, Mohammad M Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit Shah, Gari D Clifford, Mohammad M Ghassemi, Shamim Nemati, Nino Isakadze, Vaidehi Ambai, Oleksiy Levantsevych, Amit Shah, Gari D Clifford
Atrial fibrillation (AFib) is diagnosed by analysis of the morphological and rhythmic properties of the electrocardiogram. It was recently shown that accurate detection of AFib is possible using beat-to-beat interval variations. This raises the question of whether AFib detection can be performed using a pulsatile waveform such as the Photoplethysmogram (PPG). The recent explosion in use of recreational and professional ambulatory wrist-based pulse monitoring devices means that an accurate pulse-based AFib screening algorithm would enable large scale screening for silent or undiagnosed AFib, a significant risk factor for multiple diseases...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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