scholarly journals EMG extractor and blink detection for human health monitoring

2018 ◽  
Vol 7 (2) ◽  
pp. 706
Author(s):  
Aanchal Jha ◽  
M. Ganesh Lakshamana Kumar
Keyword(s):  
Human Health ◽  
Health Monitoring ◽  
Biomedical Applications ◽  
Supply Voltage ◽  
Cmos Technology ◽  
Emg Signal ◽  
Blink Detection ◽  
Programmable Gain Amplifier ◽  
Programmable Gain ◽  
Chebyshev Filter

In this paper we have proposed noise free EMG extractor for biomedical applications and also provide method for detecting blink signal. EMG signal is applied to preamplifier followed by Chebyshev filter and programmable gain amplifier further this processed EMG signal is applied to comparator to detect the blink. This topology is designed in UMC 180nm CMOS technology. Amplifier with gain of 81.155 dB and CMRR of 155.197 dB is designed. Preamplifier gain of 32.1244 dB with CMRR of 76.0743 dB which leads to common mode cancellation at priliminary stage. It also provide input referred noise ranges from 90 to 101.8636 µ V/sqrt(Hz) to reduce the noise for overall system. 4th order Chebyshev filter provides filtering with slope of -80 dB/decade with leads to reduce the unwanted signals. Filtered EMG signal is applied to programmable gain amplifier where gain ranges from 0 to 23 dB.It consumes power of 0.3µ W at 1V supply voltage.

A 75dB Programmable Gain Amplifier for Dual Mode Wireless Receivers

2012 ◽  
Vol 229-231 ◽  
pp. 1609-1613
Author(s):  
Xiang Ning Fan ◽  
Kuan Bao ◽  
Da Chen ◽  
Liang Yi Ma
Keyword(s):  
Supply Voltage ◽  
Cmos Technology ◽  
Dual Mode ◽  
Peak Voltage ◽  
Dc Offset ◽  
Variable Gain ◽  
Gain Error ◽  
Programmable Gain Amplifier ◽  
Programmable Gain ◽  
Gain Stage

In this paper, a programmable gain amplifier (PGA) is designed and implemented for GPS/Galileo and WCDMA dual mode receiver using TSMC 0.18μm CMOS technology. The 0-75dB variable gain range is obtained by cascading a 0-15dB variable gain stage and four 15dB fixed gain stages. An open-loop structured fully-differential amplifier with source feedback resistor is adopted in basic gain stage. Variation of gain is achieved by switch-controlled output resistor network. Gm-boost structure is used in main amplifier. A DC-offset canceller circuit using DC negative feedback technique is proposed to eliminate the DC-offset of the PGA. Post-simulation shows that the PGA has 0-75dB variable gain range, 1dB gain resolution and less than 0.3dB gain error; the minimum DC attenuation is about 15dB over the whole gain range; -3dB bandwidth at the maximum gain configuration is about 15MHz; differential output peak to peak voltage is greater than 1V; and the entire circuit consumes about 3.6mA current under 1.8V supply voltage.

A CMOS Automatic Gain Control Circuit for Biomedical Applications

2015 ◽  
Vol 645-646 ◽  
pp. 1308-1313
Author(s):  
Zhi Qiang Gao ◽  
Fu Xiang Huang ◽  
Jing Li ◽  
Liang Yin ◽  
Xiao Wei Liu
Keyword(s):  
Exponential Function ◽  
Biomedical Applications ◽  
Low Voltage ◽  
Supply Voltage ◽  
Automatic Gain Control ◽  
Gain Control ◽  
Cmos Technology ◽  
Chip Area ◽  
Gain Variation ◽  
Linearity Error

In this paper, a low-voltage automatic gain control (AGC) circuits is presented. The proposed circuit uses a novel approximated exponential function to increase the dB-linear output range. The three-stage AGC is fabricated in 0.18μm CMOS technology and shows the maximum gain variation of more than 100dB and a 67dB linear range with linearity error of less than ±1dB. The range of gain variation can be controlled from 34 to 101dB. The AGC dissipates less than 2.3mA under 1.8V supply voltage while occupying 0.4mm2 of chip area.

scholarly journals Design of a Programmable Gain Amplifier (PGA) for Bluetooth Low Energy (BLE) in 0.13 um CMOS

2020 ◽  
Vol 15 (1) ◽  
pp. 1-9
Author(s):  
Isaías De Sousa Barbosa Júnior ◽  
Raimundo Carlos Silverio Freire ◽  
Edelson Da Silva Procopio Venuto
Keyword(s):  
Supply Voltage ◽  
Low Energy ◽  
Common Source ◽  
Resistive Load ◽  
Bluetooth Low Energy ◽  
Analog To Digital ◽  
Low Area ◽  
Programmable Gain Amplifier ◽  
Minimum Bandwidth ◽  
Programmable Gain

Programmable Gain Amplifiers (PGA's) are circuits capable of conveniently changing their gain to address various levels of amplification. Knowing this, the topology proposed in this work takes a source degenerated first stage, a common-source with resistive load second stage, and a gm boosting circuit interface to realize a PGA that has low power consumption and low area. The design developed was able to achieve a maximum power dissipation of 103.1 uW, a minimum bandwidth of 5.59 MHz, a maximum noise of 32.01 nV/sqrt(Hz), and a gain range of 2.31 - 19.84 dB. Each differential output of the circuit is loaded with 700 fF, which is the estimated load for the hypothetical following block, the Analog-to-Digital Converter (ADC). Furthermore, the supply voltage of the circuit is 1 V and the design was undertaken on Global Foundrie's 130 nm technology. The phase margin of the core circuit is no greater than 100.3˚  and no less than 49˚  . The circuit which design is described in this work is intended to be within the receiver (RX) sub-domain of a Bluetooth Low-Energy (BLE) system, which finds applications on the IoT and healthcare industries, for instance.

A GAIN/FILTERING INTERLEAVED BASEBAND CHAIN ARCHITECTURES FOR MULTISTANDARD RECONFIGURABLE RECEIVERS

2012 ◽  
Vol 21 (01) ◽  
pp. 1250008 ◽  
Author(s):  
SOLIMAN A. MAHMOUD
Keyword(s):  
Supply Voltage ◽  
Intermediate Stage ◽  
Cmos Technology ◽  
System Level ◽  
A Value ◽  
Receiver Architecture ◽  
Dc Gain ◽  
Three Stages ◽  
Last Stage ◽  
Programmable Gain

In this paper, four baseband chain architectures used in multistandard (UMTS–WLAN) reconfigurable receivers will be introduced, simulated and, compared. The architectures are realized using 0.25 μm CMOS technology operating with 1.2 V supply voltage. The baseband chain consists of three stages: the first and the last stage are programmable gain amplifiers and the intermediate stage is an active Gm-RC LPF filter. The proposed architectures are compared in terms of DC-gain, noise, linearity, SFDR, and power consumption. The best receiver architecture is then derived based on system level analysis and based on a defined figure-of-merit. The best baseband chain bandwidth is controlled by the active Gm-RC filter with a value 2.2 MHz for UMTS and 11 MHz for WLAN. The baseband gain can be programmed in the range of -6÷68 dB, while the input-referred noise density is less 20 nV/√Hz for UMTS and 25 μV/√Hz for WLAN.

scholarly journals Biopotential Signal Monitoring Systems in Rehabilitation: A Review

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7172
Author(s):  
Arrigo Palumbo ◽  
Patrizia Vizza ◽  
Barbara Calabrese ◽  
Nicola Ielpo
Keyword(s):  
Health Monitoring ◽  
Integrated Circuit ◽  
Biomedical Applications ◽  
Wearable Sensors ◽  
Monitoring Systems ◽  
Portable Devices ◽  
Signal Acquisition ◽  
Emg Signal ◽  
Signal Monitoring ◽  
Electrocardiogram Ecg

Monitoring physical activity in medical and clinical rehabilitation, in sports environments or as a wellness indicator is helpful to measure, analyze and evaluate physiological parameters involving the correct subject’s movements. Thanks to integrated circuit (IC) technologies, wearable sensors and portable devices have expanded rapidly in monitoring physical activities in sports and tele-rehabilitation. Therefore, sensors and signal acquisition devices became essential in the tele-rehabilitation path to obtain accurate and reliable information by analyzing the acquired physiological signals. In this context, this paper provides a state-of-the-art review of the recent advances in electroencephalogram (EEG), electrocardiogram (ECG) and electromyogram (EMG) signal monitoring systems and sensors that are relevant to the field of tele-rehabilitation and health monitoring. Mostly, we focused our contribution in EMG signals to highlight its importance in rehabilitation context applications. This review focuses on analyzing the implementation of sensors and biomedical applications both in literature than in commerce. Moreover, a final review discussion about the analyzed solutions is also reported at the end of this paper to highlight the advantages of physiological monitoring systems in rehabilitation and individuate future advancements in this direction. The main contributions of this paper are (i) the presentation of interesting works in the biomedical area, mainly focusing on sensors and systems for physical rehabilitation and health monitoring between 2016 and up-to-date, and (ii) the indication of the main types of commercial sensors currently being used for biomedical applications.

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