2012 Symposium on VLSI Circuits (VLSIC) 2012
DOI: 10.1109/vlsic.2012.6243792
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A 0.6V 2.9µW mixed-signal front-end for ECG monitoring

Abstract: This paper presents a mixed-signal ECG front-end that uses aggressive voltage scaling to maximize power-efficiency and facilitate integration with low-voltage DSPs. 50/60Hz interference is canceled using mixed-signal feedback, enabling ultralow-voltage operation by reducing dynamic range requirements. Analog circuits are optimized for ultra-low-voltage, and a SAR ADC with a dual-DAC architecture eliminates the need for a power-hungry ADC buffer. Oversampling and ∆Σ-modulation leveraging near-VT digital process… Show more

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Cited by 10 publications
(10 citation statements)
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“…The received power peaks at 20 µA load current and the peak dc-to-dc power transfer efficiency across the link is 1.2% with voltage transfer function of 0.29, which are smaller by approximately 25% than the values calculated in Section III since Equations (1) and (2) ignore the effects of the source resistance R s in Figure 6. Of a maximum 34 µW power recovered at the sensor node, a maximum of 14 µW is consumed by the communication and digital baseband circuits, leaving the remaining 20 µW for the biomedical signal acquisition front-end which is sufficient to power state-of-the-art biomedical data-acquisition circuits [2]- [4]. A plot of the measured efficiency and output power normalized to its maximum value with varying misalignment is presented in Figure 22.…”
Section: Measurement Resultsmentioning
confidence: 99%
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“…The received power peaks at 20 µA load current and the peak dc-to-dc power transfer efficiency across the link is 1.2% with voltage transfer function of 0.29, which are smaller by approximately 25% than the values calculated in Section III since Equations (1) and (2) ignore the effects of the source resistance R s in Figure 6. Of a maximum 34 µW power recovered at the sensor node, a maximum of 14 µW is consumed by the communication and digital baseband circuits, leaving the remaining 20 µW for the biomedical signal acquisition front-end which is sufficient to power state-of-the-art biomedical data-acquisition circuits [2]- [4]. A plot of the measured efficiency and output power normalized to its maximum value with varying misalignment is presented in Figure 22.…”
Section: Measurement Resultsmentioning
confidence: 99%
“…The on-chip NNI module supplies power to the sensor readout circuitry and transmits the data measured by it. The off-chip readout circuits consist primarily of a front-end amplifier followed by an ADC and can be any state-of-the-art microwatt-level sensor that measures signals on the human body [2]- [4]. An auto-commutative rectifier (ACR) minimizes the dead zone for rectification at low-amplitude ac inputs, and converts ac power transmitted by the base station to dc for use by all circuits at the sensor node.…”
Section: Sensor Nodesmentioning
confidence: 99%
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“…The work in [5] and [6] are demonstrations of mixedsignal implementations targeted for low-voltage operation to improve energy efficiency. To achieve maximum energy savings, voltage scaling should be supported by algorithms, architectures and circuits optimized for the specific requirements of the target application [7].…”
mentioning
confidence: 99%