Low-Power High-Sensitivity Photoplethysmography Sensor for Wearable Health Monitoring System

Lin, Binghui; Ma, Zhouchen; Atef, Mohamed; Li, Ying; Wang, Guoxing

doi:10.1109/jsen.2021.3062189

Cited by 27 publications

(10 citation statements)

References 17 publications

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“…The superiority of SAR ADC dynamic regulation deserves to be further emphasized. Faced with different usage scenarios of PPG monitoring [ 103 ], the ADC can run at 45 nA at a 250 S/s sampling rate or 90 nA at a 500 S/s sampling rate, which means it can not only meet high-load working conditions but also guarantee battery life under low-load conditions. As another example, the SAR ADC module adopted in the gesture recognition system [ 104 ] has rich tunable levels.…”

Section: Analog-to-digital Conversionmentioning

confidence: 99%

Progress in Data Acquisition of Wearable Sensors

Liu

Kong

et al. 2022

Biosensors

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Wearable sensors have demonstrated wide applications from medical treatment, health monitoring to real-time tracking, human-machine interface, smart home, and motion capture because of the capability of in situ and online monitoring. Data acquisition is extremely important for wearable sensors, including modules of probes, signal conditioning, and analog-to-digital conversion. However, signal conditioning, analog-to-digital conversion, and data transmission have received less attention than probes, especially flexible sensing materials, in research on wearable sensors. Here, as a supplement, this paper systematically reviews the recent progress of characteristics, applications, and optimizations of transistor amplifiers and typical filters in signal conditioning, and mainstream analog-to-digital conversion strategies. Moreover, possible research directions on the data acquisition of wearable sensors are discussed at the end of the paper.

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Section: Analog-to-digital Conversionmentioning

confidence: 99%

Progress in Data Acquisition of Wearable Sensors

Liu

Kong

et al. 2022

Biosensors

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“…The average power consumption of this sensor is 196 µW, including the Reference/Bias generation and analog-to-digital conversion section ADC. The same sensor topology is presented in [41] and [42] with a reduced power consumption level of 121 µW and 50.75 µW, respectively. The sensor proposed in [43] is a CMOS Reconfigurable Multi-Sensor SoC for Biomedical Applications.…”

Section: Biomedical Sensorsmentioning

confidence: 99%

“…The first architecture provides an insufficient DC power to feed the sensor reported in [43]. At 110 m, the RF-EH system and the first architecture could feed only the sensors from [42,44]. The second architecture couldn't feed any sensor at this distance.…”

Section: Biomedical Sensorsmentioning

confidence: 99%

A New RF Energy Harvesting System Based on Two Architectures to Enhance the DC Output Voltage for WSN Feeding

Benkalfate

Ouslimani

Kasbari

et al. 2022

Sensors

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In this paper, a new RF Energy Harvesting (RF-EH) system for Wireless Sensor Network (WSN) feeding is proposed. It is based on two different monitored architectures using switch circuits controlled by the input powers. One architecture is more adapted to high input powers and the other to low input powers. The two different architectures and the system are designed and realized on Teflon glass substrate with a relative permittivity of 2.1 and thickness of 0.67 mm. They are tested separately as a function of the distance from the relay antenna. A new multiband antenna with a size of 40 × 30 mm2 is used for both architectures and the system. The measured antenna gains are 2.7 dB, 2.9 dB, and 2.55 dB for the frequencies of 1.8 GHz, 2.1 GHz, and 2.66 GHz corresponding to the mobile communication networks, respectively. The rectifier consists of two Schottky diodes forming a full-wave rectifier and voltage doubler. The maximum measured RF-to-DC conversion efficiency is 71.5%. The proposed RF-EH system provides a maximum DC output voltage of 5.6 V and 3.15 V for an open and 2 kΩ resistance load, respectively.

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“…This current is then converted to a voltage signal of a particular frequency by a transimpedance amplifier(TIA) or analog to digital converter(ADC) or light to digital converter(LDC) for further signal processing. The voltage signals obtained by this method are sometimes termed as photoplethysmogram(PPG) and are very beneficial in the heart-rate and blood pressure measurements [38] . For the case of pulse oximeters, the fundamental and eminent principle behind the functionality of pulse oximeters is that, the hemoglobin changes color from dark red to bright red, when oxygenated and consequently, the reduction in the absorption of red light takes effect.…”

Section: Working Nomenclature Of Non-invasive Health Monitoring Devicesmentioning

confidence: 99%

State-of-the-Art Light to Digital Converter Circuits Applicable in Non-Invasive Health Monitoring Devices to Combat COVID-19 and Other Respiratory Illnesses: A Review

et al. 2022

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In the past few years, a tremendous advancement in the outcome of biomedical circuits and systems has been reported. Unfortunately, at the time of the sudden outbreak of COVID-19, the electronic engineering researchers felt dearth on their side to combat the pandemic, as no such immediate cutting-edge solutions were ready to recognize the virus with some standard and smart electronic devices. Likely, in this paper, a detailed comparative and comprehensive study on circuit architectures of the biomedical devices is presented. Mostly, this study relates the industry standard circuit schemes applicable in non-invasive health monitoring to combat respiratory illnesses. The trending circuit architectural schemes casted-off to tapeout non-invasive health-care devices available in the past literature are meticulously and broadly discussed in this study. Further, the comprehensive comparison of the state of art of the device performance in terms of supply voltage, chip area, sensitivity, dynamic range, etc. is also shown in this paper. The inclusive design processes of the health monitoring devices from Lab to Industry is thoroughly discussed for the readers. The authors think, that this critical review summarising all the trending and most cited health-care devices in a single paper will alternately help the industrialists to adapt and modify the circuit architectures of the health monitoring devices more precisely and straightforwardly. Finally, the demand for health monitoring devices particularly responsible to detect respiratory illnesses, measuring blood pressure and heart-rate is growing widely in the market after the the incident of COVID-19 and other respiratory diseases.

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Low-Power High-Sensitivity Photoplethysmography Sensor for Wearable Health Monitoring System

Cited by 27 publications

References 17 publications

Progress in Data Acquisition of Wearable Sensors

Progress in Data Acquisition of Wearable Sensors

A New RF Energy Harvesting System Based on Two Architectures to Enhance the DC Output Voltage for WSN Feeding

State-of-the-Art Light to Digital Converter Circuits Applicable in Non-Invasive Health Monitoring Devices to Combat COVID-19 and Other Respiratory Illnesses: A Review

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