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Open AccessProceedings ArticleDOI

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

TLDR
A low power ECG recording Sys-tem-on-Chip (SoC) with on-chip low complexity lossless ECG compression for data reduction in wireless/ambulatory ECG sensor devices.
Abstract
This paper presents a low power ECG recording Sys-tem-on-Chip (SoC) with on-chip low complexity lossless ECG compression for data reduction in wireless/ambulatory ECG sensor devices. The proposed algorithm uses a linear slope predictor to estimate the ECG samples, and uses a novel low complexity dynamic coding-packaging scheme to frame the resulting estimation error into fixed-length 16-bit format. The proposed technique achieves an average compression ratio of 2.25× on MIT/BIH ECG database. Implemented in 0.35 μm process, the compressor uses 0.565 K gates/channel occupying 0.4 mm2 for 4-channel, and consumes 535 nW/channel at 2.4V for ECG sampled at 512 Hz. Small size and ultra-low power consumption makes the proposed technique suitable for wearable ECG sensor application.

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Citations
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An Injectable 64 nW ECG Mixed-Signal SoC in 65 nm for Arrhythmia Monitoring

TL;DR: A syringe-implantable electrocardiography (ECG) monitoring system is proposed that successfully detecting atrial fibrillation arrhythmia and storing the irregular waveform in memory in experiments using an ECG simulator, a live sheep, and an isolated sheep heart.
Journal ArticleDOI

A joint QRS detection and data compression scheme for wearable sensors.

TL;DR: Lower overall complexity and good performance renders the proposed technique suitable for wearable/ambulatory ECG devices.
Journal ArticleDOI

Energy-Efficient Long-term Continuous Personal Health Monitoring

TL;DR: This paper quantifies the energy and storage requirements of a continuous personal health monitoring system that uses eight biomedical sensors and proposes schemes for sample aggregation, anomaly-driven transmission, and compressive sensing to reduce the overheads of wirelessly transmitting, storing, and encrypting/authenticating the data.
Journal ArticleDOI

Efficient ECG Compression and QRS Detection for E-Health Applications

TL;DR: A lossy method is developed (Methods III) that achieves CR of 4.5×, PRD of 0.53, as well as an overall sensitivity of 99.78% and positive predictivity of 98.92% and is compared to the most current lossless and lossy ECG compression methods.
Journal ArticleDOI

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

TL;DR: 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.
References
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Journal ArticleDOI

A 1-V 450-nW Fully Integrated Programmable Biomedical Sensor Interface Chip

TL;DR: In this paper, a fully integrated programmable biomedical sensor interface chip dedicated to the processing of various types of biomedical signals is presented. But the chip, optimized for high power efficiency, contains a low noise amplifier, a tunable bandpass filter, a programmable gain stage, and a successive approximation register analog-to-digital converter.
Journal ArticleDOI

An efficient test vector compression scheme using selective Huffman coding

TL;DR: Results indicate that the proposed scheme can provide test data compression nearly equal to that of an optimum Huffman code with much less area overhead for the decoder.
Proceedings Article

A 1-V 450-nW Fully Integrated Programmable Biomedical Sensor Interface Chip

TL;DR: The chip, optimized for high power efficiency, contains a low noise amplifier, a tunable bandpass filter, a programmable gain stage, and a successive approximation register analog-to-digital converter that achieves low signal distortion and high dynamic range under low voltage operations.
Journal ArticleDOI

A 30 $\mu$ W Analog Signal Processor ASIC for Portable Biopotential Signal Monitoring

TL;DR: The design and implementation of an analog signal processor (ASP) ASIC for portable ECG monitoring systems and the proposed continuous-time electrode-tissue impedance monitoring circuit enables the monitoring of the signal integrity.
Journal ArticleDOI

Mixed bio-signal lossless data compressor for portable brain-heart monitoring systems

TL;DR: This paper presents a highly integrated VLSI implementation of a mixed bio-signal lossless data compressor capable of handling multichannel electroencephalogram (EEG), electrocardiogram (ECG) and diffuse optical tomography (DOT) bio-Signal data for reduced storage and communication bandwidth requirements in portable, wireless brain-heart monitoring systems used in hospital or home care settings.
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