多模态智能生物传感SoC平台,具有>80dB信噪比35µA PPG RX链

Ajit Sharma, Seung Bae Lee, Arup Polley, Sriram Narayanan, Wen Li, T. Sculley, S. Ramaswamy
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引用次数: 16

摘要

提出了一种多模态模拟前端(AFE)和超低能量生物传感CMOS SoC。系统/电路技术使信号通路占空比低至低于1%,并产生35μA的光容积脉搏波(PPG) RX链-比目前公布的状态低5倍-同时保持总体信噪比> 80dBFS。信号链由超低功耗FSM自适应同步,包括1.3μW 14b 1kSPS SAR a /D。通过利用运行在外部微控制器(μC)上的动态算法来实现输入信号感知,实时数据路径自适应,以进一步降低系统能量。NEF为4.8的可编程异步电容复位放大器(PARCA)和dx/dt模拟特征提取器演示了高能效的心电捕获。一个基于电池供电、蓝牙低功耗(BLE)的可穿戴平台,使用该AFE同时进行ECG和PPG采集。
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Multi-modal smart bio-sensing SoC platform with >80dB SNR 35µA PPG RX chain
A multi-modal analog front end (AFE) and ultra-low energy bio-sensing CMOS SoC is presented. System/ circuit techniques enable signal path duty cycles as low as sub-1% and result in a 35μA Photo Plethysmography (PPG) RX Chain - 5X lower than published state of the art - while maintaining overall SNR > 80dBFS. The signal chain is adaptively synchronized by an ultra-low power FSM and includes a 1.3μW 14b 1kSPS SAR A/D. Input signal-aware, real-time data path adaptation is achieved by leveraging on-the-fly algorithms running on an external microcontroller (μC) to further reduce system energy. A programmable, asynchronous capacitive reset amplifier (PARCA) with NEF of 4.8 and dx/dt analog feature extractor demonstrate energy efficient ECG capture. A battery-powered, Bluetooth low energy (BLE) based, wearable platform with simultaneous ECG and PPG acquisition using this AFE has been demonstrated.
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