11 research outputs found

    CMRR Boosted Instrumentation Amplifier for Biomedical Application

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    This research paper discusses about a design of an amplifier for its use in an Analog Front End for Biomedical signal acquisition. The design of an AFE is also specific to the signal of interest. This paper deals with the design of an Analog Front End using 180nm process. An amplifier is a key component of an AFE. For instrumentation amplifier to satisfy theoretical results the OPAMP used must be close to ideal. The simulations are performed using TANNER EDA tool

    A wireless ECG plaster for real-time cardiac health monitoring in body sensor networks

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    10.1109/BioCAS.2011.61077632011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011205-20

    An ECG-SoC with 535nW/channel lossless data compression for wearable sensors

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    10.1109/ASSCC.2013.6691003Proceedings of the 2013 IEEE Asian Solid-State Circuits Conference, A-SSCC 2013145-14

    A Low Complexity Lossless Compression Scheme for Wearable ECG Sensors

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    An ECG-on-Chip with 535-nW/Channel Integrated Lossless Data Compressor for Wireless Sensors

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    This paper presents a low-power ECG recording system-on-chip (SoC) with on-chip low-complexity lossless ECG compression for data reduction in wireless/ambulatory ECG sensor devices. The chip uses a linear slope predictor for data compression, and incorporates a novel low-complexity dynamic coding-packaging scheme to frame the prediction error into fixed-length 16-bit format. The proposed technique achieves an average compression ratio of 2.25x on MIT/BIH ECG database. Implemented in a standard 0.35 um process, the compressor uses 0.565K gates/channel occupying 0.4 mm2 for four channels, and consumes 535 nW/channel at 2.4 V for ECG sampled at 512 Hz. Small size and ultra-low power consumption makes the proposed technique suitable for wearable ECG sensor applications

    Low-Power Wearable ECG Monitoring System for Multiple-Patient Remote Monitoring

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    Many devices and solutions for remote electrocardiogram (ECG) monitoring have been proposed in the literature. These solutions typically have a large marginal cost per added sensor and are not seamlessly integrated with other smart home solutions. Here, we propose an ECG remote monitoring system that is dedicated to non-technical users in need of long-term health monitoring in residential environments and is integrated in a broader Internet-of-Things (IoT) infrastructure. Our prototype consists of a complete vertical solution with a series of advantages with respect to the state of the art, considering both the prototypes with integrated front end and prototypes realized with off-the-shelf components: 1) ECG prototype sensors with record-low energy per effective number of quantized levels; 2) an architecture providing low marginal cost per added sensor/user; and 3) the possibility of seamless integration with other smart home systems through a single IoT infrastructure

    DESIGN OF ENERGY EFFICIENT WEARABLE ECG SYSTEM AND LOW POWER ASYNCHRONOUS MICROCONTROLLER

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    Master'sMASTER OF ENGINEERIN

    Low power low noise analog front-end IC design for biomedical sensor interface

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    Ph.DDOCTOR OF PHILOSOPH
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