Evidence map›Paper›PMID 36080888›Full record

ArticleSensors (Basel, Switzerland)2022

A Fully Integrated, Power-Efficient, 0.07-2.08 mA, High-Voltage Neural Stimulator in a Standard CMOS Process.

David Palomeque-Mangut, Ángel Rodríguez-Vázquez, Manuel Delgado-Restituto

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

David Palomeque-MangutSeville Institute of Microelectronics (CSIC-US), 41092 Sevilla, Spain.ORCID 0000-0002-5122-5598
Ángel Rodríguez-VázquezSeville Institute of Microelectronics (CSIC-US), 41092 Sevilla, Spain.ORCID 0000-0002-1006-5241
Manuel Delgado-RestitutoSeville Institute of Microelectronics (CSIC-US), 41092 Sevilla, Spain.ORCID 0000-0002-7707-0897
Instituto de Microelectrónica de Sevilla · ES

Funding

Ministerio de Ciencia e Innovación PID2019-110410RB-I00Ministerio de Universidades FPU18/00247Office of Naval Research 310 N00014-19-12156
6 · The paper itself

Abstract

This paper presents a fully integrated high-voltage (HV) neural stimulator with on-chip HV generation. It consists of a neural stimulator front-end that delivers stimulation currents up to 2.08 mA with 5 bits resolution and a switched-capacitor DC-DC converter that generates a programmable voltage supply from 4.2 V to 13.2 V with 4 bits resolution. The solution was designed and fabricated in a standard 180 nm 1.8 V/3.3 V CMOS process and occupied an active area of 2.34 mm2. Circuit-level and block-level techniques, such as a proposed high-compliance voltage cell, have been used for implementing HV circuits in a low-voltage CMOS process. Experimental validation with an electrical model of the electrode−tissue interface showed that (1) the neural stimulator can handle voltage supplies up to 4 times higher than the technology’s nominal supply, (2) residual charge—without passive discharging phase—was below 0.12% for the whole range of stimulation currents, (3) a stimulation current of 2 mA can be delivered with a voltage drop of 0.9 V, and (4) an overall power efficiency of 48% was obtained at maximum stimulation current.

Indexed as

ElectricityElectric Power SuppliesElectrodesEquipment Designcharge pumpCMOSDC-DC converterdynamic gate biasinghigh voltage complianceneural implantneural stimulatorneuromodulationstacked transistors

Identifiers

PMID36080888
PMCPMC9460620
OpenAlexW4293660913

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.