A low-power thermal-based sensor system for low air flow detection

Self-powered wireless sensor systems have emerged as an important topic for condition monitoring in nuclear power plants. However, commercial wireless sensor systems still cannot be fully self-sustainable due to the high power consumption caused by excessive signal processing in a mini-electronic computing system. In this sense, it is essential not only to integrate the sensor system with energy-harvesting devices but also to develop simple data processing methods for low power schemes. In this paper, we report a patch-type vibration visualization (PVV) sensor system based on the triboelectric effect and a visualization technique for self-sustainable operation. The PVV sensor system composed of a polyethylene terephthalate (PET)/Al/LCD screen directly converts the triboelectric signal into an informative black pattern on the LCD screen without excessive signal processing, enabling extremely low power operation. In addition, a proposed image processing method reconverts the black patterns to frequency and acceleration values through a remote-control camera. With these simple signal-to-pattern conversion and pattern-to-data reconversion techniques, a vibration visualization sensor network has successfully been demonstrated.

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Compact CH4 sensor system based on a continuous-wave, low power consumption, room temperature interband cascade laser

Applied Physics Letters ◽

10.1063/1.4939452 ◽

2016 ◽

Vol 108 (1) ◽

pp. 011106 ◽

Cited By ~ 57

Author(s):

Lei Dong ◽

Chunguang Li ◽

Nancy P. Sanchez ◽

Aleksander K. Gluszek ◽

Robert J. Griffin ◽

...

Keyword(s):

Power Consumption ◽

Low Power ◽

Room Temperature ◽

Continuous Wave ◽

Sensor System ◽

Low Power Consumption ◽

Interband Cascade Laser

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Design and Implementation of Low Power Wireless Sensor System for Water Quality Monitoring

2011 5th International Conference on Bioinformatics and Biomedical Engineering ◽

10.1109/icbbe.2011.5780475 ◽

2011 ◽

Cited By ~ 5

Author(s):

Wen-Yaw Chung ◽

Chien-Lin Chen ◽

Jyen-bin Chen

Keyword(s):

Water Quality ◽

Low Power ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

Sensor System ◽

Wireless Sensor ◽

Design And Implementation

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A Low-Power High-Data-Transmission Multi-Lead ECG Acquisition Sensor System

Sensors ◽

10.3390/s19224996 ◽

2019 ◽

Vol 19 (22) ◽

pp. 4996 ◽

Cited By ~ 5

Author(s):

Liang-Hung Wang ◽

Wei Zhang ◽

Ming-Hui Guan ◽

Su-Ya Jiang ◽

Ming-Hui Fan ◽

...

Keyword(s):

Low Power ◽

Clinical Diagnosis ◽

Medical Staff ◽

Supply Voltage ◽

Sampling Rate ◽

Low Power Design ◽

Sensor System ◽

Acquisition System ◽

Ecg Signal ◽

Acquisition Device

This study presents a low-power multi-lead wearable electrocardiogram (ECG) signal sensor system design that can simultaneously acquire the electrocardiograms from three leads, I, II, and V1. The sensor system includes two parts, an ECG test clothing with five electrode patches and an acquisition device. Compared with the traditional 12-lead wired ECG detection instrument, which limits patient mobility and needs medical staff assistance to acquire the ECG signal, the proposed vest-type ECG acquisition system is very comfortable and easy to use by patients themselves anytime and anywhere, especially for the elderly. The proposed study incorporates three methods to reduce the power consumption of the system by optimizing the micro control unit (MCU) working mode, adjusting the radio frequency (RF) parameters, and compressing the transmitted data. In addition, Huffman lossless coding is used to compress the transmitted data in order to increase the sampling rate of the acquisition system. It makes the whole system operate continuously for a long period of time and acquire abundant ECG information, which is helpful for clinical diagnosis. Finally, a series of tests were performed on the designed wearable ECG device. The results have demonstrated that the multi-lead wearable ECG device can collect, process, and transmit ECG data through Bluetooth technology. The ECG waveforms collected by the device are clear, complete, and can be displayed in real-time on a mobile phone. The sampling rate of the proposed wearable sensor system is 250 Hz per lead, which is dependent on the lossless compression scheme. The device achieves a compression ratio of 2.31. By implementing a low power design on the device, the resulting overall operational current of the device is reduced by 37.6% to 9.87 mA under a supply voltage of 2.1 V. The proposed vest-type multi-lead ECG acquisition device can be easily employed by medical staff for clinical diagnosis and is a suitable wearable device in monitoring and nursing the off-ward patients.

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