Browsing by Author "Cheng, Nai-Chen"

Now showing 1 - 3 of 3

A 0.8V, 43.5 mu W ECG Signal Acquisition IC with a Referenceless Time-to-Digital Converter
(2016)
Lin, Shu-Hsuan
;
Lin, Fu-To
;
Cheng, Nai-Chen
;
Liao, Yu-Te
;
電機工程學系
This paper presents a 0.8V analog front-end (AFE) with referenceless time-based digitalization architecture for electrocardiogram (ECG) signal acquisition. Compared to the conventional voltage-domain architecture, the proposed AFE achieves a smaller chip area, lower power consumption, and self-calibration without the high-accuracy clock as well as voltage reference. The chip is fabricated using 0.18 mu m CMOS technology and occupies a chip area of 0.84 mm(2). The design attains a variable gain from 35 dB to 47 dB within a bandwidth of 7 kHz and 10-bit time-to-digital conversion while consuming 43.5 mu W at a supply voltage of 0.8V.
Invited: Wireless sensor nodes for environmental monitoring in Internet of Things
(2016)
Lu, Ting-Chou
;
Huang, Li-Ren
;
Lee, Yu
;
Tsai, Kun-Ju
;
Liao, Yu-Te
This paper presents a self-sustainable landslide surveillance system that detects hazardous water content level in soils and provides real-time landslide warnings to residents, without requiring wired electricity transmission. A self-powered soil water content sensor was applied as the trigger of alert event. It solves the energy supply problem by an environmental interrupt mechanism, which wakes up the sensor and communication circuits in a sensing node only when the water content in monitored soils exceeds a certain threshold, and thus completely eliminates the need for an ALS node to periodically wake up, sense and communicate. By tightly integrating energy harvesting, environment sensing and circuit wake-up, it may well be the most energy-efficient landslide surveillance system designed to monitor water content in soils in the world.
Invited: Wireless sensor nodes for environmental monitoring in Internet of Things
(2016)
Lu, Ting-Chou
;
Huang, Li-Ren
;
Lee, Yu
;
Tsai, Kun-Ju
;
Liao, Yu-Te
This paper presents a self-sustainable landslide surveillance system that detects hazardous water content level in soils and provides real-time landslide warnings to residents, without requiring wired electricity transmission. A self-powered soil water content sensor was applied as the trigger of alert event. It solves the energy supply problem by an environmental interrupt mechanism, which wakes up the sensor and communication circuits in a sensing node only when the water content in monitored soils exceeds a certain threshold, and thus completely eliminates the need for an ALS node to periodically wake up, sense and communicate. By tightly integrating energy harvesting, environment sensing and circuit wake-up, it may well be the most energy-efficient landslide surveillance system designed to monitor water content in soils in the world.