0.5 V fifth-order butterworth low-pass filter using multiple-input OTA for ECG applications

Autor: Montree Kumngern, Fabian Khateb, Tomasz Kulej, Nattharinee Aupithak
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Letter
Computer science
Semiconductor device fabrication
Low-pass filter
Transconductance
Taiwan
02 engineering and technology
Hardware_PERFORMANCEANDRELIABILITY
nanopower
lcsh:Chemical technology
Biochemistry
Analytical Chemistry
Electrocardiography
0202 electrical engineering
electronic engineering
information engineering
Electronic engineering
Hardware_INTEGRATEDCIRCUITS
Humans
lcsh:TP1-1185
multiple-input bulk-driven technique
Electrical and Electronic Engineering
fifth-order low-pass filter
Instrumentation
subthreshold region
Fifth-order low-pass filter
Amplifiers
Electronic
Subthreshold conduction
Amplifier
020208 electrical & electronic engineering
Bandwidth (signal processing)
020206 networking & telecommunications
Equipment Design
Atomic and Molecular Physics
and Optics
CMOS
Semiconductors
Operational transconductance amplifier
operational transconductance amplifier
Zdroj: SENSORS. 2020, vol. 20, issue 24, p. 1-16.
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 7343, p 7343 (2020)
Popis: This paper presents a 0.5 V fifth-order Butterworth low-pass filter based on multiple-input operational transconductance amplifiers (OTA). The filter is designed for electrocardiogram (ECG) acquisition systems and operates in the subthreshold region with nano-watt power consumption. The used multiple-input technique simplifies the overall structure of the OTA and reduces the number of active elements needed to realize the filter. The filter was designed and simulated in the Cadence environment using a 0.18 µm Complementary Metal Oxide Semiconductor (CMOS) process from Taiwan Semiconductor Manufacturing Company (TSMC). Simulation results show that the filter has a bandwidth of 250 Hz, a power consumption of 34.65 nW, a dynamic range of 63.24 dB, attaining a figure-of-merit of 0.0191 pJ. The corner (process, voltage, temperature: PVT) and Monte Carlo (MC) analyses are included to prove the robustness of the filter.
Databáze: OpenAIRE
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