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Wireless of ECG

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[This corrects the article on p. 1083 in vol. 11, PMID: 27570450.].
2016: Clinical Interventions in Aging
Abhishek Srivastava, Nithin Sankar, Baibhab Chatterjee, Devarshi Das, Meraj Ahmad, Rakesh Kukkundoor, Vivek Saraf, Ananthpadmanabhan Jayachandran, Dinesh Sharma, Maryam Baghini
This paper presents a low power integrated wireless telemetry system (Bio-WiTel) for healthcare applications in 401- 406 MHz frequency band of Medical Device RadioCommunication (MedRadio) spectrum. In this work, necessary design considerations for telemetry system for short range (upto 3 m) communication of bio-signals are presented. These considerations greatly help in taking important design decisions, which eventually lead to a simple, low power, robust and reliable wireless system implementation. Transmitter (TX) and receiver (RX) of Bio-WiTel system have been fabricated in 180 nm mixed mode CMOS technology...
December 14, 2016: IEEE Journal of Biomedical and Health Informatics
Yatao Zhang, Shoushui Wei, Costanzo Di Maria, Chengyu Liu
The poor quality of wireless electrocardiography (ECG) recordings can lead to misdiagnosis and waste of medical resources. This study presents an interpretation of Lempel-Ziv (LZ) complexity in terms of ECG quality assessment, and verifies its performance on real ECG signals. Firstly, LZ complexities for typical signals, namely high-frequency (HF) noise, low-frequency (LF) noise, power-line (PL) noise, impulse (IM) noise, clean artificial ECG signals, and ECG signals with various types of noise added (ECG plus HF, LF, PL, and IM noise, respectively) were analyzed...
2016: Journal of Medical and Biological Engineering
Chacko John Deepu, Chun-Huat Heng, Yong Lian
This paper presents a novel data compression and transmission scheme for power reduction in Internet-of-Things (IoT) enabled wireless sensors. In the proposed scheme, data is compressed with both lossy and lossless techniques, so as to enable hybrid transmission mode, support adaptive data rate selection and save power in wireless transmission. Applying the method to electrocardiogram (ECG), the data is first compressed using a lossy compression technique with a high compression ratio (CR). The residual error between the original data and the decompressed lossy data is preserved using entropy coding, enabling a lossless restoration of the original data when required...
November 7, 2016: IEEE Transactions on Biomedical Circuits and Systems
Cunguang Lou, Ruikai Li, Zhaopeng Li, Tie Liang, Zihui Wei, Mingtao Run, Xiaobing Yan, Xiuling Liu
This paper describes the development of a graphene-based dry flexible electrocardiography (ECG) electrode and a portable wireless ECG measurement system. First, graphene films on polyethylene terephthalate (PET) substrates and graphene paper were used to construct the ECG electrode. Then, a graphene textile was synthesized for the fabrication of a wearable ECG monitoring system. The structure and the electrical properties of the graphene electrodes were evaluated using Raman spectroscopy, scanning electron microscopy (SEM), and alternating current impedance spectroscopy...
November 1, 2016: Sensors
Ming Dai, Xueliang Xiao, Xin Chen, Haoming Lin, Wanqing Wu, Siping Chen
With the increasing aging population as well as health concerns, chronic heart disease has become the focus of public attention. A comfortable, low-powered, and wearable electrocardiogram (ECG) system for continuously monitoring the elderly's ECG signals over several hours is important for preventing cardiovascular diseases. Traditional ECG monitoring apparatus is often inconvenient to carry, has many electrodes to attach to the chest, and has a high-power consumption. There is also a challenge to design an electrocardiograph that satisfies requirements such as comfort, confinement, and compactness...
October 14, 2016: Australasian Physical & Engineering Sciences in Medicine
Syed Anas Imtiaz, James Mardell, Siavash Saremi-Yarahmadi, Esther Rodriguez-Villegas
Continuous patient monitoring systems acquire enormous amounts of data that is either manually analysed by doctors or automatically processed using intelligent algorithms. Sections of data acquired over long period of time can be corrupted with artefacts due to patient movement, sensor placement and interference from other sources. Owing to the large volume of data these artefacts need to be automatically identified so that the analysis systems and doctors are aware of them while making medical diagnosis. Three important factors are explored that must be considered and quantified for the design and evaluation of automatic artefact identification algorithms: signal quality, interpretation quality and computational complexity...
September 2016: Healthcare Technology Letters
Ngai-Yin Chan, Chi-Chung Choy
OBJECTIVE: The purpose of this study was to assess the feasibility of community screening for atrial fibrillation (AF) using a smartphone-based wireless single-lead ECG (SL-ECG) and to generate epidemiological data on the prevalence and risk factors of AF in Hong Kong. METHODS: In the period between 1 May 2014 to 30 April 2015, 13 122 Hong Kong citizens consented and voluntarily participated in a territory-wide community-based AF screening programme. RESULTS: 56 (0...
January 1, 2017: Heart: Official Journal of the British Cardiac Society
Benyan Liu, Zhangyuan Luo, Wenzan Zhang, Quan Tu, Xun Jin
In this study, the concept of polymer electrodes integrated with a wireless electrocardiogram (ECG) system was described. Polymer electrodes for long-term ECG measurements were fabricated by loading high content of carbon nanotubes (CNTs) in polydimethylsiloxane. Silver nanoparticles (Ag NPs) were added to increase the flexibility of the polymer and the conductivity of the electrode. An ECG electrode patch was fabricated by integrating the electrodes with an adhesive polydimethylsiloxane (aPDMS) layer. Holes in the electrode filled with aPDMS can enable robust contact between the electrode and skin, reducing motion artifacts...
October 5, 2016: Journal of Biomaterials Science. Polymer Edition
Terese Lindberg, Doris M Bohman, Sölve Elmståhl, Claes Jogréus, Johan Sanmartin Berglund
PURPOSE: With longer life expectancies, the prevalence of arrhythmias is increasing; thus, there is a need for new methods to screen the older outpatient population. This population-based study describes the prevalence of arrhythmias in 200 outpatients aged ≥66 years. We also investigated the feasibility of wireless long-term recording (LTR) using the ECG-BodyKom(®). METHODS: Two hundred elderly persons aged 66-93 years were recruited from the Swedish National Study on Aging and Care in 2010-2013, and data were collected via wireless LTR ECG-BodyKom...
2016: Clinical Interventions in Aging
Zhipeng Cai, Kan Luo, Jianqing Li
Ambulatory electrocardiogram (ECG) monitoring can effectively reduce the risk and death rate of patients with cardiovascular diseases (CVDs). The Body Sensor Network (BSN) based ECG monitoring is a new and efficien method to protect the CVDs patients. To meet the challenges of miniaturization, low power and high signal quality of the node, we proposed a novel 50 mmX 50 mmX 10 mm, 30 g wireless ECG node, which includes the single-chip an alog front-end AD8232, ultra-low power microprocessor MSP430F1611 and Bluetooth module HM-11...
February 2016: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
Yishan Wang, Sammy Doleschel, Ralf Wunderlich, Stefan Heinen
In this paper, a wearable and wireless ECG system is firstly designed with Bluetooth Low Energy (BLE). It can detect 3-lead ECG signals and is completely wireless. Secondly the digital Compressed Sensing (CS) is implemented to increase the energy efficiency of wireless ECG sensor. Different sparsifying basis, various compression ratio (CR) and several reconstruction algorithms are simulated and discussed. Finally the reconstruction is done by the android application (App) on smartphone to display the signal in real time...
July 2016: Journal of Medical Systems
Hamid Gholamhosseini, Andries Meintjes, Mirza Baig, Maria Linden
The increasing availability of low cost and easy to use personalized medical monitoring devices has opened the door for new and innovative methods of health monitoring to emerge. Cuff-less and continuous methods of measuring blood pressure are particularly attractive as blood pressure is one of the most important measurements of long term cardiovascular health. Current methods of noninvasive blood pressure measurement are based on inflation and deflation of a cuff with some effects on arteries where blood pressure is being measured...
2016: Studies in Health Technology and Informatics
Steffen Peter, Bhanu Pratap Reddy, Farshad Momtaz, Tony Givargis
Body area sensor networks (BANs) utilize wireless communicating sensor nodes attached to a human body for convenience, safety, and health applications. Physiological characteristics of the body, such as the heart rate or Electrocardiogram (ECG) signals, are promising means to simplify the setup process and to improve security of BANs. This paper describes the design and implementation steps required to realize an ECG-based authentication protocol to identify sensor nodes attached to the same human body. Therefore, the first part of the paper addresses the design of a body-area sensor system, including the hardware setup, analogue and digital signal processing, and required ECG feature detection techniques...
April 22, 2016: Sensors
Akib A Uddin, Plinio P Morita, Kevin Tallevi, Kevin Armour, John Li, Robert P Nolan, Joseph A Cafazzo
BACKGROUND: Elevated blood pressure is one of the main risk factors for death globally. Behavioral neurocardiac training (BNT) is a complementary approach to blood pressure and stress management that is intended to exercise the autonomic reflexes, improve stress recovery, and lower blood pressure. BNT involves cognitive-behavioral therapy with a paced breathing technique and heart rate variability biofeedback. BNT is limited to in-clinic delivery and faces an accessibility barrier because of the need for clinical oversight and the use of complex monitoring tools...
2016: JMIR MHealth and UHealth
Liangliang Lu, Minya Chen
In order to expand the capabilities of hospital's traditional ECG device and enhance medical staff's work efficiency, an ECG monitoring system based on internet of things is introduced. The system can monitor ECG signals in real time and analyze data using ECG sensor, PDA, Web servers, which embeds C language, Android systems, .NET, wireless network and other technologies. After experiments, it can be showed that the system has high reliability and stability and can bring the convenience to medical staffs.
November 2015: Zhongguo Yi Liao Qi Xie za Zhi, Chinese Journal of Medical Instrumentation
Guanglou Zheng, Gengfa Fang, Rajan Shankaran, Mehmet Orgun, Jie Zhou, Li Qiao, Kashif Saleem
Generating random binary sequences is a fundamental requirement in cryptography. A binary sequence (BS) is a sequence of N bits and each bit has a value of 0 or 1. For securing sensors within Wireless Body Area Networks (WBANs), electrocardiogram (ECG) based BS generation methods have been widely investigated in which Inter-pulse Intervals (IPIs) from each heartbeat cycle are processed to produce BSes. Using these IPI-based methods to generate a 128-bit BS in real-time normally takes around half a minute. In order to improve the time efficiency of such methods, this paper presents an ECG Multiple Fiducial-points based Binary Sequence Generation (MFBSG) algorithm...
March 24, 2016: IEEE Journal of Biomedical and Health Informatics
Darren Craven, Brian McGinley, Liam Kilmartin, Martin Glavin, Edward Jones
Advances in Compressed Sensing (CS) are enabling promising low-energy implementation solutions for wireless Body Area Networks (BAN). While studies demonstrate the potential of CS in terms of overall energy efficiency compared to state-of-the-art lossy compression techniques, the performance of CS remains limited. The aim of this study is to improve the performance of CS-based compression for electrocardiogram (ECG) signals. This paper proposes a CS architecture that combines a novel redundancy removal scheme with quantization and Huffman entropy coding to effectively extend the Compression Ratio (CR)...
April 1, 2016: Computers in Biology and Medicine
Andre L Mansano, Yongjia Li, Sumit Bagga, Wouter A Serdijn
The design of a 13.56 MHz/402 MHz autonomous wireless sensor node with asynchronous ECG monitoring for near field communication is presented. The sensor node consists of an RF energy harvester (RFEH), a power management unit, an ECG readout, a data encoder and an RF backscattering transmitter. The energy harvester supplies the system with 1.25 V and offers a power conversion efficiency of 19% from a -13 dBm RF source at 13.56 MHz. The power management unit regulates the output voltage of the RFEH to supply the ECG readout with VECG = 0...
June 2016: IEEE Transactions on Biomedical Circuits and Systems
Bor-Shyh Lin, Alice M Wong, Kevin C Tseng
This study aims to develop a community-based electrocardiogram (ECG) monitoring system for cardiac outpatients to wirelessly detect heart rate, provide personalized healthcare, and enhance interactive social contact because of the prevalence of deaths from cardiovascular disease and the growing problem of aging in the world. The system not only strengthens the performance of the ECG monitoring system but also emphasizes the ergonomic design of wearable devices and user interfaces. In addition, it enables medical professionals to diagnose cardiac symptoms remotely and electronically manage medical reports and suggestions...
April 2016: Journal of Medical Systems
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