A nanoforest-based humidity sensor for respiration monitoring

A nanoforest-based humidity sensor for respiration monitoring

Traditional humidity sensors for respiration monitoring applications have faced technical challenges, including low sensitivity, long recovery times, high parasitic capacitance and uncalibrated temperature drift. To overcome these problems, we present a triple-layer humidity sensor that comprises a...

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Bibliographic Details
Main Authors: Chen, D. (Author), Chen, G. (Author), Dai, X. (Author), Guan, R. (Author), Li, H. (Author), Mao, H. (Author), Shi, M. (Author), Zhou, N. (Author)
Format: Article
Language:English
Published: Springer Nature 2022
Subjects:
Capacitance
Heating equipment
Humidity sensors
Learning algorithms
Low sensitivity
Machine learning
Microelectromechanical devices
Microheater
Monitoring applications
Parasitics capacitance
Recovery time
Respiration monitoring
Sensing capacitors
Technical challenges
Temperature drifts
Thermistors
Uncalibrated
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