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https://www.readbyqxmd.com/read/29043502/an-integrated-approach-using-chaotic-map-sample-value-difference-method-for-electrocardiogram-steganography-and-ofdm-based-secured-patient-information-transmission
#1
Anukul Pandey, Barjinder Singh Saini, Butta Singh, Neetu Sood
This paper presents a patient's confidential data hiding scheme in electrocardiogram (ECG) signal and its subsequent wireless transmission. Patient's confidential data is embedded in ECG (called stego-ECG) using chaotic map and the sample value difference approach. The sample value difference approach effectually hides the patient's confidential data in ECG sample pairs at the predefined locations. The chaotic map generates these predefined locations through the use of selective control parameters. Subsequently, the wireless transmission of the stego-ECG is analyzed using the Orthogonal Frequency Division Multiplexing (OFDM) system in a Rayleigh fading scenario for telemedicine applications...
October 18, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29037055/computer-aided-diagnosis-sensor-integrated-outdoor-shirts-for-real-time-heart-disease-monitoring
#2
Ji-Ae Park, Hee-Jeong Han, Jin-Chul Heo, Jong-Ha Lee
The typical method of monitoring arrhythmia is to use a body patch type sensor with a wet electrode. It has several problems caused by wet electrodes for long-term monitoring. Thus, a monitoring sensor integrated into clothes with a dry electrode is proposed. In this study, we develop a smart outdoor shirt equipped with a dry electrode electrocardiogram (ECG) sensor for a cardiac arrhythmia computer aided diagnosis system. The sensor can be inserted in a console close to the chest, charged, used to communicate wirelessly, and connected with a smartphone application...
October 16, 2017: Computer Assisted Surgery (Abingdon, England)
https://www.readbyqxmd.com/read/28954566/a-simple-encoding-method-for-sigma-delta-adc-based-biopotential-acquisition-systems
#3
Federico N Guerrero, Enrique M Spinelli
Sigma Delta analogue-to-digital converters allow acquiring the full dynamic range of biomedical signals at the electrodes, resulting in less complex hardware and increased measurement robustness. However, the increased data size per sample (typically 24 bits) demands the transmission of extremely large volumes of data across the isolation barrier, thus increasing power consumption on the patient side. This problem is accentuated when a large number of channels is used as in current 128-256 electrodes biopotential acquisition systems, that usually opt for an optic fibre link to the computer...
September 28, 2017: Journal of Medical Engineering & Technology
https://www.readbyqxmd.com/read/28928046/new-directions-for-ambulatory-monitoring-following-2017-hrs-ishne-expert-consensus
#4
Emanuela T Locati
The main role of ambulatory electrocardiography (AECG) in clinical practice is to detect and characterize the behavior of cardiac electrical activity during ordinary daily life activities. Because certain rhythm abnormalities may be infrequent and paroxysmal, and may occur only during sleep or in association with mental, emotional, or exercise-induced perturbation in cardiac function, AECG needs to be recorded over a long period of time, originally lasting 24h and now expanding up to several weeks and even to months...
August 12, 2017: Journal of Electrocardiology
https://www.readbyqxmd.com/read/28920895/matched-filtering-for-heart-rate-estimation-on-compressive-sensing-ecg-measurements
#5
Giulia Da Poian, Christopher J Rozell, Riccardo Bernardini, Roberto Rinaldo, Gari D Clifford
OBJECTIVE: Compressive Sensing (CS) has recently been applied as a low complexity compression framework for long-term monitoring of electrocardiogram signals using Wireless Body Sensor Networks. Long-term recording of ECG signals can be useful for diagnostic purposes and to monitor the evolution of several widespread diseases. In particular, beat to beat intervals provide important clinical information, and these can be derived from the ECG signal by computing the distance between QRS complexes (R-peaks)...
September 14, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28900815/wavelet-based-encoding-scheme-for-controlling-size-of-compressed-ecg-segments-in-telecardiology-systems
#6
Asiya M Al-Busaidi, Lazhar Khriji, Farid Touati, Mohd Fadlee Rasid, Adel Ben Mnaouer
One of the major issues in time-critical medical applications using wireless technology is the size of the payload packet, which is generally designed to be very small to improve the transmission process. Using small packets to transmit continuous ECG data is still costly. Thus, data compression is commonly used to reduce the huge amount of ECG data transmitted through telecardiology devices. In this paper, a new ECG compression scheme is introduced to ensure that the compressed ECG segments fit into the available limited payload packets, while maintaining a fixed CR to preserve the diagnostic information...
September 12, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28813017/a-wireless-exg-interface-for-patch-type-ecg-holter-and-emg-controlled-robot-hand
#7
Kwangmuk Lee, Yun Young Choi, Dae Jung Kim, Hee Young Chae, Kyeonghwan Park, Young Min Oh, Sung Hun Woo, Jae Joon Kim
This paper presents a wearable electrophysiological interface with enhanced immunity to motion artifacts. Anti-artifact schemes, including a patch-type modular structure and real-time automatic level adjustment, are proposed and verified in two wireless system prototypes of a patch-type electrocardiogram (ECG) module and an electromyogram (EMG)-based robot-hand controller. Their common ExG readout integrated circuit (ROIC), which is reconfigurable for multiple physiological interfaces, is designed and fabricated in a 0...
August 16, 2017: Sensors
https://www.readbyqxmd.com/read/28783079/an-ultra-low-power-turning-angle-based-biomedical-signal-compression-engine-with-adaptive-threshold-tuning
#8
Jun Zhou, Chao Wang
Intelligent sensing is drastically changing our everyday life including healthcare by biomedical signal monitoring, collection, and analytics. However, long-term healthcare monitoring generates tremendous data volume and demands significant wireless transmission power, which imposes a big challenge for wearable healthcare sensors usually powered by batteries. Efficient compression engine design to reduce wireless transmission data rate with ultra-low power consumption is essential for wearable miniaturized healthcare sensor systems...
August 6, 2017: Sensors
https://www.readbyqxmd.com/read/28546862/block-sparsity-based-joint-compressed-sensing-recovery-of-multi-channel-ecg-signals
#9
Anurag Singh, Samarendra Dandapat
In recent years, compressed sensing (CS) has emerged as an effective alternative to conventional wavelet based data compression techniques. This is due to its simple and energy-efficient data reduction procedure, which makes it suitable for resource-constrained wireless body area network (WBAN)-enabled electrocardiogram (ECG) telemonitoring applications. Both spatial and temporal correlations exist simultaneously in multi-channel ECG (MECG) signals. Exploitation of both types of correlations is very important in CS-based ECG telemonitoring systems for better performance...
April 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28420158/intelligent-medical-garments-with-graphene-functionalized-smart-cloth-ecg-sensors
#10
Murat Kaya Yapici, Tamador Elboshra Alkhidir
Biopotential signals are recorded mostly by using sticky, pre-gelled electrodes, which are not ideal for wearable, point-of-care monitoring where the usability of the personalized medical device depends critically on the level of comfort and wearability of the electrodes. We report a fully-wearable medical garment for mobile monitoring of cardiac biopotentials from the wrists or the neck with minimum restriction to regular clothing habits. The wearable prototype is based on elastic bands with graphene functionalized, textile electrodes and battery-powered, low-cost electronics for signal acquisition and wireless transmission...
April 16, 2017: Sensors
https://www.readbyqxmd.com/read/28368836/dreamer-a-database-for-emotion-recognition-through-eeg-and-ecg-signals-from-wireless-low-cost-off-the-shelf-devices
#11
Stamos Katsigiannis, Naeem Ramzan
In this work, we present DREAMER, a multi-modal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect elicitation by means of audio-visual stimuli. Signals from 23 participants were recorded along with the participants self-assessment of their affective state after each stimuli, in terms of valence, arousal, and dominance. All the signals were captured using portable, wearable, wireless, low-cost and off-the-shelf equipment that has the potential to allow the use of affective computing methods in everyday applications...
March 27, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28269356/real-time-physiological-and-facial-monitoring-for-safe-driving
#12
Yu-Lung Chang, Yen-Cheng Feng, Oscal T-C Chen
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/28269328/efficient-compressive-sensing-of-ecg-segments-based-on-machine-learning-for-qrs-based-arrhythmia-detection
#13
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/28269063/a-low-power-level-crossing-adc-for-wearable-wireless-ecg-sensors
#14
Zhenzhen Tian, Rendong Ying, Peilin Liu, Guoxing Wang, Yong Lian
Ultra-low power consumption is desired in most wearable biomedical devices. The event-driven based Analog-to-Digital converter (ADC) could be an excellent candidate for low power system because of the reduction in sampling points for biosignals. In the existing event-driven based ADC architectures, two or more high precision comparators are utilized to sample the input signal. In this paper, we propose a new scheme utilizing only one high precision comparator to genertate samples with the assistance of a low precision one...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268951/interventional-placement-of-thin-coil-shaped-implants-powered-wirelessly-for-monitoring-vital-signals-and-controlling-abnormal-activities-by-electro-stimulation
#15
Hidetoshi Ohta, Masanobu Honda, 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/28268797/noninvasive-health-condition-monitoring-device-for-workers-at-high-altitudes-conditions
#16
Pablo Aqueveque, Cristopher Gutierrez, Francisco Saavedra, Esteban J Pino
This work presents the design and implementation of a continuous monitoring device to control the health state of workers, for instance miners, at high altitudes. The extreme ambient conditions are harmful for peoples' health; therefore a continuous control of the workers' vital signs is necessary. The developed system includes physiological variables: electrocardiogram (ECG), respiratory activity and body temperature (BT), and ambient variables: ambient temperature (AT) and relative humidity (RH). The noninvasive sensors are incorporated in a t-shirt to deliver a functional device, and maximum comfort to the users...
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/28227280/a-low-power-level-crossing-adc-for-wearable-wireless-ecg-sensors
#19
Zhenzhen Tian, Rendong Ying, Peilin Liu, Guoxing Wang, Yong Lian, Zhenzhen Tian, Rendong Ying, Peilin Liu, Guoxing Wang, Yong Lian, Yong Lian, Peilin Liu, Guoxing Wang, Zhenzhen Tian, Rendong Ying
Ultra-low power consumption is desired in most wearable biomedical devices. The event-driven based Analog-to-Digital converter (ADC) could be an excellent candidate for low power system because of the reduction in sampling points for biosignals. In the existing event-driven based ADC architectures, two or more high precision comparators are utilized to sample the input signal. In this paper, we propose a new scheme utilizing only one high precision comparator to genertate samples with the assistance of a low precision one...
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
#20
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
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