Disruptive ultra-low-leakage design techniques for ultra-low-power mixed-signal microsystems

2011 ◽  
Author(s):  
Denis Flandre ◽  
Olivier Bulteel ◽  
Geoffroy Gosset ◽  
Bertrand Rue ◽  
David Bol
Keyword(s):  
Low Power ◽  
Ultra Low Power ◽  
Mixed Signal ◽  
Low Leakage ◽  
Design Techniques

New Low-leakage Flip-flops with Power-gating Scheme for Ultra-low Power Systems

2011 ◽  
Vol 10 (11) ◽  
pp. 2161-2167 ◽  
Author(s):  
Jianping Hu ◽  
Xiaoying Yu ◽  
Jindan Chen
Keyword(s):  
Power Systems ◽  
Low Power ◽  
Power Gating ◽  
Ultra Low Power ◽  
Low Leakage ◽  
Gating Scheme

scholarly journals High Vt-low Leakage FDSOI Device for Ultra-low Power Operation

2016 ◽  
Vol 9 (33) ◽  
Author(s):  
Manisha Guduri ◽  
Amit Krishna Dwivedi ◽  
Aminul Islam
Keyword(s):  
Low Power ◽  
Ultra Low Power ◽  
Low Leakage ◽  
Power Operation

An Ultra-Low Power Holter and Low Complexity Design Using Mixed Signal Processor

2013 ◽  
Vol 284-287 ◽  
pp. 1627-1632
Author(s):  
Hsieh Chang Huang ◽  
Ching Tang Hsieh ◽  
Guang Lin Hsieh
Keyword(s):  
Low Power ◽  
Analog Circuits ◽  
Finite Impulse Response ◽  
Low Complexity ◽  
Fir Filter ◽  
Ecg Signal ◽  
Ultra Low Power ◽  
Mixed Signal ◽  
Sd Card ◽  
Signal Processor

An ultra-low power, portable, and easily implemented Holter recorder is necessary for patients or researchers of electrocardiogram (ECG). Such a Holter recorder with off-the-shelf components is realized with mixed signal processor (MSP) in this paper. To decrease the complexity of analog circuits and the interference of 60 Hz noise from power line, we use the MSP to implement a finite impulse response (FIR) filter which is equiripple design. We also integrate the ring buffer for the input samples and the symmetrical characteristic of the FIR filter for efficiently computing convolution. The experimental results show that the ECG output signal with the PQRST feature is easy to be distinguished. This ECG signal is recorded for 24 hours using a SD card. Furthermore, the ECG signal is transmitted with a smartphone via Bluetooth to decrease the burden of the Holter recorder. As a result, this paper uses the Lomb method for the spectral analysis of Heart Rate Variability (HRV) better than Fast Fourier Transform (FFT).

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