A Wearable Healthcare System With a 13.7 &lt;formula formulatype="inline"&gt;&lt;tex Notation="TeX"&gt;$\mu$&lt;/tex&gt; &lt;/formula&gt;A Noise Tolerant ECG Processor

Izumi, Shintaro; Yamashita, Ken; Nakano, Masataka; Kawaguchi, Hiroshi; Kimura, Hiromitsu; Marumoto, Kyoji; Fuchikami, Takaaki; Fujimori, Yoshikazu; Nakajima, Hiroshi; Shiga, Tohru; Yoshimoto, Masahiko

doi:10.1109/tbcas.2014.2362307

Cited by 48 publications

(7 citation statements)

References 18 publications

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“…Some researchers have exploited system-on-chip (SOC) technologies to integrate both analog and digital signal processing units for on-chip ECG signal processing. Izumi et al [ 36 ] developed a wearable system that incorporated a near field communication (NFC) module, a three-axis accelerometer, and an ECG processor chip. The chip was designed to perform data acquisition, process ECG and accelerometer signals, and communicate with the smartphone.…”

Section: Wearable Health Monitoring Systemsmentioning

confidence: 99%

Wearable Sensors for Remote Health Monitoring

Majumder

Mondal

Deen

2017

Sensors

948

576

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Life expectancy in most countries has been increasing continually over the several few decades thanks to significant improvements in medicine, public health, as well as personal and environmental hygiene. However, increased life expectancy combined with falling birth rates are expected to engender a large aging demographic in the near future that would impose significant burdens on the socio-economic structure of these countries. Therefore, it is essential to develop cost-effective, easy-to-use systems for the sake of elderly healthcare and well-being. Remote health monitoring, based on non-invasive and wearable sensors, actuators and modern communication and information technologies offers an efficient and cost-effective solution that allows the elderly to continue to live in their comfortable home environment instead of expensive healthcare facilities. These systems will also allow healthcare personnel to monitor important physiological signs of their patients in real time, assess health conditions and provide feedback from distant facilities. In this paper, we have presented and compared several low-cost and non-invasive health and activity monitoring systems that were reported in recent years. A survey on textile-based sensors that can potentially be used in wearable systems is also presented. Finally, compatibility of several communication technologies as well as future perspectives and research challenges in remote monitoring systems will be discussed.

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Section: Wearable Health Monitoring Systemsmentioning

confidence: 99%

Wearable Sensors for Remote Health Monitoring

Majumder

Mondal

Deen

2017

Sensors

948

576

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“…However, all of these mechanisms [5], [6] have considered the ECG boundary containing all the required features will be supplied from some other process or module and hence has not been taken into consideration while doing the power budgeting and the hardware complexity analysis. Although such robust boundary detection approach would significantly impact the accuracy of the subsequent feature extraction modules, but definitely at the cost of higher circuit complexity resulting in higher power consumption than what reported in the literatures [7], [8]. Hence, in this paper, we propose the following:…”

Section: Introductionmentioning

confidence: 99%

Low Power Personalized ECG Based System Design Methodology for Remote Cardiac Health Monitoring

et al. 2016

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This paper describes a mixed-signal electrocardiogram (ECG) system for personalized and remote cardiac health monitoring. The novelty of this paper is fourfold. First, a low power analog front end with an efficient automatic gain control mechanism, maintaining the input of the ADC to a level rendering optimum SNR and the enhanced recyclic folded cascode opamp used as an integrator for ADC. Second, a novel on-the-fly PQRST boundary detection (BD) methodology is formulated for finding the boundaries in continuous ECG signal. Third, a novel low-complexity ECG feature extraction architecture is designed by reusing the same module present in the proposed BD methodology. Fourth, the system is having the capability to reconfigure the proposed low power ADC for low (8 b) and high (12 b) resolution with the use of the feedback signal obtained from the digital block when it is in processing. The proposed system has been tested and validated on patient's data from PTBDB, CSEDB, and in-house IIT Hyderabad Data Base (IITHDB) and we have achieved an accuracy of 99% upon testing on various normal and abnormal ECG signals. The whole system is implemented in 180-nm technology resulting in 9.47-µW (at 1 MHz) power consumption and occupying 1.74-mm 2 silicon area.

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“…The task of the system was to support patients during rehabilitation or people working in extreme environmental conditions by monitoring physiological activities in real time. Using the system, it was possible to record parameters such as breathing, body temperature, movement and electrocardiography [ 15 ]. A group of scientists from the Spanish university Universidad Carolos III de Madrid propose a similar solution.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Impact of the Surface Modification Techniques on Structural, Biophysical, and Electrically Conductive Properties of Different Fabrics

Skrzetuska,

Puszkarz,

Nosal

2024

Materials

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This article presents studies on the evaluation of the impact of surface modification of cotton, viscose, and polyester fabrics using three techniques (flocking, layer by layer, and screen printing) with materials with electrically conductive properties on their structural, biophysical, and conductive properties. Each tested fabric is characterized by specific biophysical properties. which can be disturbed by various modification methods, therefore, the following tests were carried out in the article: optical microscopy, micro-computed tomography, guarded perspiration heating plate, air permeability, sorption and electrical conductivity tester. The use of screen printing increased the thermal resistance of the cotton woven fabric by 119%, the polyester woven fabric by 156%, and the viscose fabric by 261%. The smallest changes in thermal resistance compared to unmodified textiles were observed in layer by layer modified fabrics and are as follows: −15% (cotton woven fabric), +77% (PES woven fabric), and +80% (viscose woven fabric).

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A Wearable Healthcare System With a 13.7 <formula formulatype="inline"><tex Notation="TeX">$\mu$</tex> </formula>A Noise Tolerant ECG Processor

Cited by 48 publications

References 18 publications

Wearable Sensors for Remote Health Monitoring

Wearable Sensors for Remote Health Monitoring

Low Power Personalized ECG Based System Design Methodology for Remote Cardiac Health Monitoring

Assessment of Impact of the Surface Modification Techniques on Structural, Biophysical, and Electrically Conductive Properties of Different Fabrics

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