Analysis and Design of Tunable Amplifiers for Implantable Neural Recording Applications

Rezaee-Dehsorkh, Hamidreza; Ravanshad, Nassim; Lotfi, Reza; Mafinezhad, Khalil; Sodagar, Amir M.

doi:10.1109/jetcas.2011.2174492

Cited by 88 publications

(52 citation statements)

References 23 publications

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“…Biomedical signal securing frameworks [3] more often than not subsist of a low-noise amplifier (LNA), a band-pass filter, a sample and hold, and a analog to digital converter (ADC) is appeared in Fig.2.Typically, analogy portion takes more amount of power and region contrasted with the digital structure. This digital improved approach can expands the extensibility of the framework in removing the undesirable interferences.…”

Section: Existing Systemmentioning

confidence: 99%

Designing of Digital Front-End Structure for ECG Acquisition System

Subhan¹

2018

IJRASET

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This article grants a design of digital front end structure for electrocardiogram (ECG) acquisition system utilized to diminish the energy dissipation. ECG utilizes to know the heart disorder of patient in medical field and the electrical actions generated by the heart muscles is demonstrated on ECG, then it transmits the pulsating electrical wave towards the skin. ECGs are utilized to estimate the heart speed and to check the rhythm for the heart diseases. The proposed structure of ECG is companionable with digital complementary metal oxide semiconductor (CMOS) and that can be performed with the supply voltage of 0.4V. To cancel the direct current (DC) offset on the circuit, a digital feedback loop engaged. In this design, the voltage to time converter (VTC), time mode processing and time to digital converter (TDC) are considered to convert the analog portion to digital portion. The design is implemented in 0.18µm CMOS process in cadence tool.

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Section: Existing Systemmentioning

confidence: 99%

Designing of Digital Front-End Structure for ECG Acquisition System

Subhan¹

2018

IJRASET

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“…Pseudo Resistors (PR) are used in the design. The PR comprises two Metal-Oxide-Semiconductor FieldEffect Transistors (MOSFETs) back-to-back, to create a large resistance with acceptable layout area [7]. The device geometries are given in TABLE I. Bootstrapping is a voltage feedback loop technique to minimise the signal current entering PR1 [3].…”

Section: Circuit Topologymentioning

confidence: 99%

An analog integrated front-end amplifier for neural applications

Zhou

Warr

2016

2016 International Conference on Integrated Circuits and Microsystems (ICICM)

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-Within neural monitoring systems, the frontend amplifier forms the critical element for signal detection and pre-processing, which determines not only the fidelity of the biosignal, but also impacts power consumption and detector size. In this paper, a novel combined feedback loopcontrolled approach is proposed to compensate for input leakage currents generated by low noise amplifiers when in integrated circuit form, alongside signal leakage into the input bias network. This loop topology ensures the front-end amplifier maintains a high input impedance across all manufacturing and operational variations. This front-end amplifier consumes 30 µW in 0.053 mm 2 , achieves input impedance of 42 GΩ, and 58.7 /√ input-referred noise.

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“…One of the best choices for state-of-the-art neural amplifiers is to use a Low-Noise Amplifier (LNA) in the first stage, and a second stage to achieve the required gain and bandwidth adjustment. If necessary, a third stage can be used to achieve programmable gain for the neural amplifier [8].…”

Section: Different Types Of Neural Amplifiersmentioning

confidence: 99%