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https://www.readbyqxmd.com/read/29599945/a-digital-compressed-sensing-based-energy-efficient-single-spot-bluetooth-ecg-node
#1
Kan Luo, Zhipeng Cai, Keqin Du, Fumin Zou, Xiangyu Zhang, Jianqing Li
Energy efficiency is still the obstacle for long-term real-time wireless ECG monitoring. In this paper, a digital compressed sensing- (CS-) based single-spot Bluetooth ECG node is proposed to deal with the challenge in wireless ECG application. A periodic sleep/wake-up scheme and a CS-based compression algorithm are implemented in a node, which consists of ultra-low-power analog front-end, microcontroller, Bluetooth 4.0 communication module, and so forth. The efficiency improvement and the node's specifics are evidenced by the experiments using the ECG signals sampled by the proposed node under daily activities of lay, sit, stand, walk, and run...
2018: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29558433/an-energy-efficient-algorithm-for-wearable-electrocardiogram-signal-processing-in-ubiquitous-healthcare-applications
#2
Ali Hassan Sodhro, Arun Kumar Sangaiah, Gul Hassan Sodhro, Sonia Lohano, Sandeep Pirbhulal
Rapid progress and emerging trends in miniaturized medical devices have enabled the un-obtrusive monitoring of physiological signals and daily activities of everyone's life in a prominent and pervasive manner. Due to the power-constrained nature of conventional wearable sensor devices during ubiquitous sensing (US), energy-efficiency has become one of the highly demanding and debatable issues in healthcare. This paper develops a single chip-based wearable wireless electrocardiogram (ECG) monitoring system by adopting analog front end (AFE) chip model ADS1292R from Texas Instruments...
March 20, 2018: Sensors
https://www.readbyqxmd.com/read/29543596/robust-qrs-detection-for-hrv-estimation-from-compressively-sensed-ecg-measurements-for-remote-health-monitoring-systems
#3
Jeevan K Pant, Sridhar Krishnan
OBJECTIVE: To present a new compressive sensing (CS)-based method for the acquisition of ECG signals and for robust estimation of heart-rate variability (HRV) parameters from compressively sensed measurements with high compression ratio. APPROACH: CS is used in the biosensor to compress the ECG signal. Estimation of the locations of QRS segments is carried out by applying two algorithms on the compressed measurements. The first algorithm reconstructs the ECG signal by enforcing a block-sparse structure on the first-order difference of the signal, so the transient QRS segments are significantly emphasized on the first-order difference of the signal...
March 15, 2018: Physiological Measurement
https://www.readbyqxmd.com/read/29459303/the-human-skin-as-a-sub-thz-receiver-does-5g-pose-a-danger-to-it-or-not
#4
Noa Betzalel, Paul Ben Ishai, Yuri Feldman
In the interaction of microwave radiation and human beings, the skin is traditionally considered as just an absorbing sponge stratum filled with water. In previous works, we showed that this view is flawed when we demonstrated that the coiled portion of the sweat duct in upper skin layer is regarded as a helical antenna in the sub-THz band. Experimentally we showed that the reflectance of the human skin in the sub-THz region depends on the intensity of perspiration, i.e. sweat duct's conductivity, and correlates with levels of human stress (physical, mental and emotional)...
February 16, 2018: Environmental Research
https://www.readbyqxmd.com/read/29443088/simultaneous-video-eeg-ecg-monitoring-to-identify-neurocardiac-dysfunction-in-mouse-models-of-epilepsy
#5
Vikas Mishra, Nicole M Gautier, Edward Glasscock
In epilepsy, seizures can evoke cardiac rhythm disturbances such as heart rate changes, conduction blocks, asystoles, and arrhythmias, which can potentially increase risk of sudden unexpected death in epilepsy (SUDEP). Electroencephalography (EEG) and electrocardiography (ECG) are widely used clinical diagnostic tools to monitor for abnormal brain and cardiac rhythms in patients. Here, a technique to simultaneously record video, EEG, and ECG in mice to measure behavior, brain, and cardiac activities, respectively, is described...
January 29, 2018: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/29414849/washable-and-reliable-textile-electrodes-embedded-into-underwear-fabric-for-electrocardiography-ecg-monitoring
#6
Amale Ankhili, Xuyuan Tao, Cédric Cochrane, David Coulon, Vladan Koncar
A medical quality electrocardiogram (ECG) signal is necessary for permanent monitoring, and an accurate heart examination can be obtained from instrumented underwear only if it is equipped with high-quality, flexible, textile-based electrodes guaranteeing low contact resistance with the skin. The main objective of this article is to develop reliable and washable ECG monitoring underwear able to record and wirelessly send an ECG signal in real time to a smart phone and further to a cloud. The article focuses on textile electrode design and production guaranteeing optimal contact impedance...
February 7, 2018: Materials
https://www.readbyqxmd.com/read/29406314/intsy-a-low-cost-open-source-wireless-multi-channel-bioamplifier-system
#7
Jonathan C Erickson, James A Hayes, Mauricio Bustamante, Rajwol Joshi, Alfred Rwagaju, Niranchan Paskaranandavadivel, Timothy R Angeli
OBJECTIVE: Multi-channel electrical recordings of physiologically generated signals are common to a wide range of biomedical fields. The aim of this work was to develop, validate, and demonstrate the practical utility of a high-quality, low-cost 32/64-channel bioamplifier system with real-time wireless data streaming capability. APPROACH: The new "Intsy" system integrates 3 main off-the-shelf hardware components: 1) Intan RHD2132 bioamplifier; 2) Teensy 3.2 microcontroller; and 3) RN-42 Bluetooth 2...
February 6, 2018: Physiological Measurement
https://www.readbyqxmd.com/read/29240666/induction-of-inflammation-in-vivo-by-electrocardiogram-sensor-operation-using-wireless-power-transmission
#8
Jin-Chul Heo, Beomjoon Kim, Yoon-Nyun Kim, Dae-Kwang Kim, Jong-Ha Lee
Prolonged monitoring by cardiac electrocardiogram (ECG) sensors is useful for patients with emergency heart conditions. However, implant monitoring systems are limited by lack of tissue biocompatibility. Here, we developed an implantable ECG sensor for real-time monitoring of ventricular fibrillation and evaluated its biocompatibility using an animal model. The implantable sensor comprised transplant sensors with two electrodes, a wireless power transmission system, and a monitoring system. The sensor was inserted into the subcutaneous tissue of the abdominal area and operated for 1 h/day for 5 days using a wireless power system...
December 14, 2017: Sensors
https://www.readbyqxmd.com/read/29204376/mobile-cardiac-health-care-monitoring-and-notification-with-real-time-tachycardia-and-bradycardia-arrhythmia-detection
#9
Mina Golzar, Faranak Fotouhi-Ghazvini, Hossein Rabbani, Fahimeh Sadat Zakeri
Background: The increasing trend of heart disease has turned the attention of researchers toward the use of portable connected technologies. The necessity of continuous special care for cardiovascular patients is an inevitable fact. Methods: In this research, a new wireless electrocardiographic (ECG) signal-monitoring system based on smartphone is presented. This system has two main sections. The first section consists of a sensor which receives ECG signals via an amplifier, then filters and digitizes the signal, and prepares it to be transmitted...
October 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/29065597/patient-specific-deep-architectural-model-for-ecg-classification
#10
Kan Luo, Jianqing Li, Zhigang Wang, Alfred Cuschieri
Heartbeat classification is a crucial step for arrhythmia diagnosis during electrocardiographic (ECG) analysis. The new scenario of wireless body sensor network- (WBSN-) enabled ECG monitoring puts forward a higher-level demand for this traditional ECG analysis task. Previously reported methods mainly addressed this requirement with the applications of a shallow structured classifier and expert-designed features. In this study, modified frequency slice wavelet transform (MFSWT) was firstly employed to produce the time-frequency image for heartbeat signal...
2017: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29060735/a-sub-nj-cmos-ecg-classifier-for-wireless-smart-sensor
#11
Paul Chollet, Remi Pallas, Cyril Lahuec, Matthieu Arzel, Fabrice Seguin
Body area sensor networks hold the promise of more efficient and cheaper medical care services through the constant monitoring of physiological markers such as heart beats. Continuously transmitting the electrocardiogram (ECG) signal requires most of the wireless ECG sensor energy budget. This paper presents the analog implantation of a classifier for ECG signals that can be embedded onto a sensor. The classifier is a sparse neural associative memory. It is implemented using the ST 65 nm CMOS technology and requires only 234 pJ per classification while achieving a 93...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060518/significance-of-modified-empirical-mode-decomposition-for-ecg-denoising
#12
Pratik Singh, S Shahnawazuddin, Gayadhar Pradhan
The primary objective of the presented work is to exploit the power of modified empirical mode decomposition (M-EMD) for the denoising of ECG signals. It is well known that the ECG signals get corrupted by a number of noises during the recording process. Especially, during wireless ECG recording and ambulatory patient monitoring, the signal gets corrupted by additive white Gaussian noise (AWGN). Over the years, several techniques have been proposed for ECG denoising. Among those, empirical mode decomposition (EMD) and nonlocal means (NLM) algorithm are noted to be quite effective...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060376/a-wearable-sensor-based-multi-criteria-decision-system-for-real-time-seizure-detection
#13
Abdullah Ahmed, Waqas Ahmad, Muhammad Jazib Khan, Shoaib Ahmed Siddiqui, Hammad M Cheema
This paper presents a wireless, low power and low cost two part wearable for real-time epileptic seizure detection. Using parameters of Electro-cardiograph (ECG), Electro-dermal Activity (EDA), body motion and breathing rate (BR), a novel multi-criteria-decision-system (MCDS) is proposed that reduces false alarms and true negatives. The combination of a chest and hand worn wearable continuously senses these parameters transmitting the data to a smart phone application via BLE 4.0 where long-short-term-memory (LSTM) based anomaly detection algorithms and logistic classifiers decide on the occurrence of the seizure in real time...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060102/electromyogram-based-method-to-secure-wireless-body-sensor-networks-for-rehabilitation-systems
#14
Guanghe Zhang, Oluwarotimi Williams Samuel, Fanghua Liu, Shixiong Chen, Hui Zhou, Haoshi Zhang, Guanglin Li
Wireless body sensor networks (WBSNs) provide a platform to track and monitor human health status as well as feedback to the user by capturing and processing certain physiological signals. Since WBSNs need to provide efficient health information privacy, their security has been identified as one of the major challenges, especially for rehabilitation systems. Conventionally, the random numbers (RNs) based on the inter-pulse intervals (IPIs) from electrocardiogram (ECG) recordings have been widely used to secure the data in WBSNs...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29059998/wireless-chest-wearable-vital-sign-monitoring-platform-for-hypertension
#15
G Janjua, D Guldenring, D Finlay, J McLaughlin
Hypertension, a silent killer, is the biggest challenge of the 21st century in public health agencies worldwide [1]. World Health Organization (WHO) statistic shows that the mortality rate of hypertension is 9.4 million per year and causes 55.3% of total deaths in cardiovascular (CV) patients [2]. Early detection and prevention of hypertension can significantly reduce the CV mortality. We are presenting a wireless chest wearable vital sign monitoring platform. It measures Electrocardiogram (ECG), Photoplethsmogram (PPG) and Ballistocardiogram (BCG) signals and sends data over Bluetooth low energy (BLE) to mobile phone-acts as a gateway...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29054505/biomonitor-2-pilot-study-early-experience-with-implantation-of-the-biotronik-biomonitor-2-implantable-cardiac-monitor
#16
Sze-Yuan Ooi, Ben Ng, Suresh Singarayar, Kevin Hellestrand, Peter Illes, Uwais Mohamed, Shakeeb Razak, Rukshen Weerasooriya
BACKGROUND: The BioMonitor 2 Pilot Study assessed the implantation procedure, the sensing amplitude and the remote monitoring transmission success rate of the second generation implantable cardiac monitor, the BioMonitor 2 (Biotronik, Berlin, Germany). METHODS: This was a prospective, multi-centre, single-arm, non-randomised study involving seven operators in five sites across Australia. Data were collected at implantation, during clinic visits at 1 week and 1 month post-implantation, and through wireless remote monitoring...
October 6, 2017: Heart, Lung & Circulation
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
#17
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
#18
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
#19
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
#20
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
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