High Efficiency Power Management Unit for Implantable Optical-Electrical Stimulators

Almarri, Noora; Jiang, Dai; Langlois, P.J.; Rahal, M.; Demosthenous, Andreas

doi:10.1109/ojcas.2023.3240644

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…FIGURE 8 (A) Passive (left) and active (right) rectifier topologies [reproduced from(Almarri et al, 2023), licensed CC-BY-4.0]. (B) Conventional two-stage power management strategy using a rectifier, followed using a voltage regulator [reproduced from(Liu et al, 2018), licensed CC-BY-4.0].…”

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confidence: 99%

Hybrid neuroelectronics: towards a solution-centric way of thinking about complex problems in neurostimulation tools

Drakopoulou,

Varkevisser,

Sohail

et al. 2023

Front.Electron.

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Responsive neuromodulation is increasingly being used to treat patients with neuropsychiatric diseases. Yet, inefficient bridges between traditional and new materials and technological innovations impede advancements in neurostimulation tools. Signaling in the brain is accomplished predominantly by ion flux rather than the movement of electrons. However, the status quo for the acquisition of neural signals is using materials, such as noble metals, that can only interact with electrons. As a result, ions accumulate at the biotic/abiotic interface, creating a double-layer capacitance that increases impedance and negatively impacts the efficiency of neural interrogation. Alternative materials, such as conducting polymers, allow ion penetration in the matrix, creating a volumetric capacitor (two orders of magnitude larger than an area-dependent capacitor) that lowers the impedance and increases the spatiotemporal resolution of the recording/stimulation. On the other hand, the increased development and integration capabilities of CMOS-based back-end electronics have enabled the creation of increasingly powerful and energy-efficient microchips. These include stimulation and recording systems-on-a-chip (SoCs) with up to tens of thousands of channels, fully integrated circuitry for stimulation, signal conditioning, digitation, wireless power and data telemetry, and on-chip signal processing. Here, we aim to compile information on the best component for each building block and try to strengthen the vision that bridges the gap among various materials and technologies in an effort to advance neurostimulation tools and promote a solution-centric way of considering their complex problems.

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confidence: 99%

Hybrid neuroelectronics: towards a solution-centric way of thinking about complex problems in neurostimulation tools

Drakopoulou,

Varkevisser,

Sohail

et al. 2023

Front.Electron.

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A fully integrated charge pump with double-loop control and differentiator-based transient enhancer for neural stimulation applications

Cao,

Mohammed,

Liu

2024

Microelectronics Journal

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Piezoelectric energy harvesting and ultra-low-power management circuits for medical devices

Almarri,

Chang,

Song

et al. 2024

Nano Energy

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High Efficiency Power Management Unit for Implantable Optical-Electrical Stimulators

Abstract: IEEE OJCAS encourages responsible authorship practices and the provision of information about the specific contribution of each author.

Cited by 5 publications

References 31 publications

Hybrid neuroelectronics: towards a solution-centric way of thinking about complex problems in neurostimulation tools

Hybrid neuroelectronics: towards a solution-centric way of thinking about complex problems in neurostimulation tools

A fully integrated charge pump with double-loop control and differentiator-based transient enhancer for neural stimulation applications

Piezoelectric energy harvesting and ultra-low-power management circuits for medical devices

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