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The demonstration will show ECG signal acquisition and processing on a dedicated System-on-a-Chip (SoC) [1], and display of the raw and processed data on the screen of a laptop. This SoC has been developed within the European project IcyHeart [2]. The objective of the IcyHeart project was to investigate and demonstrate a highly integrated and power-efficient microelectronic solution for remote monitoring...
This paper describes a complete low-power System-on-Chip (SoC) dedicated to Electrocardiogram (ECG) monitoring, and focus on the analog front-end sensor interface. The SoC mainly embeds a three channels ΣΔ-ADC-based sensor interface, an energy-efficient ECG signal processing and a low power radio-frequency transceiver (RF). The whole SoC was fabricated in TSMC 0.18µm General Purpose CMOS process....
This paper describes an electrocardiograph (ECG) monitoring SoC using a non-volatile MCU (NVMCU) and a noise tolerant instantaneous heart rate (IHR) monitor. The novelty of this work is the combination of the non-volatile MCU for normally-off computing and a noise-tolerant-QRS (heart beat) detection algorithm to achieve both low-power and noise tolerance. To minimize the stand-by current of MCU, a...
The live demonstration of the modular medical instrumentation platform consists of two parts: A disassembled prototype device giving an insight in the modular design of the presented hardware and a demonstration of a sample system for ECG and pulse oximetry acquisition.
We describe an integrated CMOS electrochemical sensor with on-chip electrodes and packaging. The CMOS chip was fabricated in a standard 0.5 µm CMOS process, and it contains potentiostat circuits with integrated array of three electrode cells. In the potentiostat circuit, we designed high performance folded cascode class-AB operational amplifiers with rail to rail input and output suitable for low...
Multi-channel neural recording devices are widely used for in vivo neuroscience experiments. Incurred by high signal frequency and large channel numbers, the acquisition rate could be on the order of hundred MB/s, which requires compression before wireless transmission. In this paper, we adopt the Compressed Sensing framework with a simple on-chip implementation. To improve the performance while reducing...
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