Modelling and analysis of a modified preamplifier for seizure detection

Devi, Swagata; Guha, Koushik; Laskar, Naushad Manzoor; Nath, Soumitra; Baishnab, Krishna Lal; Iannacci, Jacopo; Krishnaswamy, Narayan

doi:10.1007/s00542-020-05114-y

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…The proposed method considers the high-frequency oscillations as a biomarker of focal epileptic seizures, owing to its occurrence in higher frequencies, thereby asserting a bandwidth less than 500 Hz. The simulation results showed improved parameters such as intrinsic DC gain of about 14 dB with a power consumption of 1.782 µW and the input noise of 10.97 µV/ √ Hz @1 Hz [145]. The feasibility of this kind of virtual concept from a concept to reality with the help of sophisticated fabrication technologies could greatly help us develop and use vagus nerve stimulation devices with multi-functional advantages for different health disorders in real-time.…”

Section: Vagus Nerve Stimulationmentioning

confidence: 95%

“…However, any vagus nerve stimulation device's efficiency depends on its performance of sub-electronic components. Among them, the amplifier's efficiency plays a vital role [145]. Recently Devi et al proposed the modified version of the cascaded recycling amplifier with the help of modelling and simulation tools [145].…”

Section: Vagus Nerve Stimulationmentioning

confidence: 99%

“…Among them, the amplifier's efficiency plays a vital role [145]. Recently Devi et al proposed the modified version of the cascaded recycling amplifier with the help of modelling and simulation tools [145]. The proposed design's primary criterion is to use a preamplifier in an epileptic neural stimulator circuit with high gain, low noise, low power tradeoff, and smaller bandwidth (<500 Hz).…”

Section: Vagus Nerve Stimulationmentioning

confidence: 99%

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New Era of Electroceuticals: Clinically Driven Smart Implantable Electronic Devices Moving towards Precision Therapy

Magisetty

Park

2022

Micromachines

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In the name of electroceuticals, bioelectronic devices have transformed and become essential for dealing with all physiological responses. This significant advancement is attributable to its interdisciplinary nature from engineering and sciences and also the progress in micro and nanotechnologies. Undoubtedly, in the future, bioelectronics would lead in such a way that diagnosing and treating patients’ diseases is more efficient. In this context, we have reviewed the current advancement of implantable medical electronics (electroceuticals) with their immense potential advantages. Specifically, the article discusses pacemakers, neural stimulation, artificial retinae, and vagus nerve stimulation, their micro/nanoscale features, and material aspects as value addition. Over the past years, most researchers have only focused on the electroceuticals metamorphically transforming from a concept to a device stage to positively impact the therapeutic outcomes. Herein, the article discusses the smart implants’ development challenges and opportunities, electromagnetic field effects, and their potential consequences, which will be useful for developing a reliable and qualified smart electroceutical implant for targeted clinical use. Finally, this review article highlights the importance of wirelessly supplying the necessary power and wirelessly triggering functional electronic circuits with ultra-low power consumption and multi-functional advantages such as monitoring and treating the disease in real-time.

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Section: Vagus Nerve Stimulationmentioning

confidence: 95%

Section: Vagus Nerve Stimulationmentioning

confidence: 99%

Section: Vagus Nerve Stimulationmentioning

confidence: 99%

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New Era of Electroceuticals: Clinically Driven Smart Implantable Electronic Devices Moving towards Precision Therapy

Magisetty

Park

2022

Micromachines

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“…The structure for the amplifier proposed by Devi et al [ 38 ] is represented in Figure 1 . The structure uses an adaptive biasing technique in a modified recycling folded design.…”

Section: Modified Recycling Folded Cascode Amplifier (Mrfc)mentioning

confidence: 99%

Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method

et al. 2022

Self Cite

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This work is dedicated to parameter optimization for a self-biased amplifier to be used in preamplifiers for the diagnosis of seizures in neuro-diseases such as epilepsy. For the sake of maximum compactness, which is obligatory for all implantable devices, power is to be supplied by a piezoelectric nanogenerator (PENG). Several meta-heuristic optimization algorithms and an ANN (artificial neural network)-assisted goal attainment method were applied to the circuit, aiming to provide us with the set of optimal design parameters which ensure the minimal overall area of the preamplifier. These parameters are the slew rate, load capacitor, gain–bandwidth product, maximal input voltage, minimal input voltage, input voltage, reference voltage, and dissipation power. The results are re-evaluated and compared in the Cadence 180 nm SCL environment. It has been observed that, among the metaheuristic algorithms, the whale optimization technique reached the best values at low computational cost, decreased complexity, and the highest convergence speed. However, all metaheuristic algorithms were outperformed by the ANN-assisted goal attainment method, which produced a roughly 50% smaller overall area of the preamplifier. All the techniques described here are applicable to the design and optimization of wearable or implantable circuits.

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