Design of a Wide Temperature Range, High Linearity Time Domain CMOS-Based Temperature Sensor for Wearable IOT Applications

Silverio, Angelito A.

doi:10.1109/icitech50181.2021.9590119

Cited by 6 publications

(1 citation statement)

References 8 publications

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“…In fields such as motion capture, healthcare, and human-machine interface, motion artifacts are an almost unavoidable source of noise. Minimizing the effects of motion artifacts, especially in PPG monitoring [ 60 ], is critical to improving signal accuracy. To solve this problem, a direct-current-coupled (DC-coupled) structure is often used in amplifiers, which connect the input directly to the gate of the transistor to achieve an input impedance far exceeding that of AC-coupled structure.…”

Section: Signal Conditioningmentioning

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: Signal Conditioningmentioning

confidence: 99%