scholarly journals Ultra Low Frequency Wide Band Low Pass Active Filter for Bio-Medical Applications Simulated on Cadence tool

2021 ◽  
Vol 7 (05) ◽  
pp. 84-88
Author(s):  
Shiksha Jain & Raj Kumar Tiwari
Keyword(s):  
Biomedical Applications ◽  
Low Frequency ◽  
Wide Band ◽  
Active Filter ◽  
Low Power Consumption ◽  
Frequency Signal ◽  
Ultra Low Power ◽  
Low Pass ◽  
High Bandwidth ◽  
Cadence Tool

An ultra low frequency wide band low pass active filter is designed and simulated on 180nm cadence virtuoso tool for biomedical applications in this paper. This proposed designed low pass active filter is being able to stop low frequency signal of µHz and can pass up to Hz using the CMOS nanotechnology. This is a second order low pass active filter. It can be useful to identify the human disease by detecting ultra low frequency bio-signal. The simulated result shows ultra low power consumption of 200pW with high bandwidth at 1mV input supply.

A New Capacitance Multiplier Structure with High Multiplication Factor for Ultra-Low-Frequency Filter in Biomedical Applications

2019 ◽  
Vol 29 (07) ◽  
pp. 2050109
Author(s):  
Yan Li ◽  
Yong Liang Li
Keyword(s):  
Biomedical Applications ◽  
Low Frequency ◽  
Multiplication Factor ◽  
Frequency Filter ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Physiological Signal ◽  
Wide Range ◽  
Low Pass ◽  
Capacitance Multiplier

A novel capacitance multiplier is proposed to implement an ultra-low-frequency filter for physiological signal processing in biomedical applications. With the proposed multiplier, a simple first-order low-pass filter achieves a [Formula: see text]3-dB frequency of 33.4[Formula: see text]μHz with a 1-pF capacitance and a 20[Formula: see text]k[Formula: see text] resistance. This corresponds to a multiplication factor of as large as [Formula: see text]. By changing the controlling terminal, the [Formula: see text]3-dB frequency can be tuned in a wide range of 33.4[Formula: see text]μHz–6.3[Formula: see text]kHz.

TECHNIQUE OF APPLICATION FOR PROCESSING OF LOW PASS FILTER LF SIGNALS

10.12737/7905 ◽  
2015 ◽  
Vol 7 (4) ◽  
pp. 35-38
Author(s):  
Табаков ◽  
Yu. Tabakov ◽  
Лавлинский ◽  
V. Lavlinskiy
Keyword(s):  
Mathematical Model ◽  
Block Diagram ◽  
Low Frequency ◽  
Frequency Signal ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
The Mathematical Model ◽  
40 Hz

The article includes a block diagram and the mathematical model for low pass filter designed for processing low frequency signal with a frequency of 10-40 Hz in order of eliminate various noises and interference.

scholarly journals Second Order Low Pass RC Active Filter for Low Frequency Signal Processing

2020 ◽  
pp. 220-223
Keyword(s):  
Communication Systems ◽  
Low Frequency ◽  
Cmos Technology ◽  
Wide Frequency Range ◽  
Second Order ◽  
Frequency Range ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Cadence Tool

The different parameters define the characteristics of filter for various applications like: Biomedical applications, Defense communication systems, Wireless Communication systems etc. The mostly measured parameters for filter designing are frequency range, cut off frequency, gain, power consumption, and noise. In this paper, our work focuses on frequency range measurement at cut off frequency of Hz of second order low pass filter with designed using CMOS technology for IC fabrication. The proposed circuit gives the high frequency range at low frequency (100Hz – 10MHz) with 1mV 50Hz low power supply using complementary compound pair on the value of R=1K and C=10pH. This second order active low pass filter provides high amplification at the output with 4.861V. It is implemented and simulated on 180nm Cadence tool in terms of wide frequency range or band at cut off frequency of Hz to MHz.

PROCESSING OF LF SIGNAL WITH THE USE OF LOW-PASS FILTER AND WAVELET OF DAUBECHIES

10.12737/7910 ◽  
2015 ◽  
Vol 7 (4) ◽  
pp. 44-48
Author(s):  
Буров ◽  
R. Burov ◽  
Табаков ◽  
Yu. Tabakov ◽  
Лавлинский ◽  
...  
Keyword(s):  
Cerebral Cortex ◽  
Wavelet Transform ◽  
Low Frequency ◽  
Human Cerebral Cortex ◽  
Frequency Signal ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Mathematical Algorithm ◽  
Damping Coefficients ◽  
Low Pass

The article describes the functionality of the low-pass filter with the calculated optimum damping coefficients of noise in the signal. The block for diagram and the appearance of the board for removing for low-frequency signals of human cerebral cortex. The mathematical algorithm low-frequency signal processing frequency of 10-40 Hz using wavelet transform Daubechies and low-pass filter.

scholarly journals A low noise cascaded amplifier for the ultra-wide band receiver in the biosensor

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Maissa Daoud ◽  
Mohamed Ghorbel ◽  
Hassene Mnif
Keyword(s):  
Power Supply ◽  
Biomedical Applications ◽  
Figure Of Merit ◽  
Noise Figure ◽  
Wide Band ◽  
Low Noise ◽  
Ultra Wide Band ◽  
Low Power Consumption ◽  
5 Ghz ◽  
Minimum Noise

AbstractThis paper presents the design of an Ultra-Wide Band (UWB) Low Noise cascaded Amplifier (LNA) used for biomedical applications. The designed structure uses a technique which is based on the inductances minimization to reduce the LNA surface while maintaining low power consumption, low noise and high stability, linearity and gain. To prove its robustness, this technique was studied theoretically, optimized and validated through simulation using the CMOS 0.18 µm process. The LNA achieves a maximum band voltage gain of about 17.5 dB at [1-5] GHz frequency band, a minimum noise figure of 2 dB, IIP3 of + 1dBm and consumes only 13mW under a 2 V power supply. It is distinguished by its prominent figure of merit of 0.68.

An Ultra-low Power Consumption MAC Protocol Complied with IEEE 802.15.4/4e for Wireless Smart Utility Networks

2016 ◽  
Vol 136 (11) ◽  
pp. 1555-1566 ◽  
Author(s):  
Jun Fujiwara ◽  
Hiroshi Harada ◽  
Takuya Kawata ◽  
Kentaro Sakamoto ◽  
Sota Tsuchiya ◽  
...  
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Ieee 802.15.4 ◽  
Mac Protocol ◽  
Low Power Consumption ◽  
Ultra Low Power
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