Literature DB >> 31667027

A Miniature Dual-Biomarker-Based Sensing and Conditioning Device for Closed-Loop DBS.

Mahboubeh Parastarfeizabadi1, Abbas Z Kouzani1.   

Abstract

In this paper, a dual-biomarker-based neural sensing and conditioning device is proposed for closing the feedback loop in deep brain stimulation devices. The device explores both local field potentials (LFPs) and action potentials (APs) as measured biomarkers. It includes two channels, each having four main parts: (1) a pre-amplifier with built-in low-pass filter, (2) a ground shifting circuit, (3) an amplifier with low-pass function, and (4) a high-pass filter. The design specifications include miniature-size, light-weight, and 100 dB gain in the LFP and AP channels. This device has been validated through bench and in-vitro tests. The bench tests have been performed using different sinusoidal signals and pre-recorded neural signals. The in-vitro tests have been conducted in the saline solution that mimics the brain environment. The total weight of the device including a 3 V coin battery, and battery holder is 1.2 g. The diameter of the device is 11.2 mm. The device can be used to concurrently sense LFPs and APs for closing the feedback loop in closed-loop deep brain stimulation systems. It provides a tetherless head-mountable platform suitable for pre-clinical trials. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/.

Entities:  

Keywords:  Analog circuit; brain sensor; deep brain stimulation; fabrication; multiple biomarkers

Year:  2019        PMID: 31667027      PMCID: PMC6752632          DOI: 10.1109/JTEHM.2019.2937776

Source DB:  PubMed          Journal:  IEEE J Transl Eng Health Med        ISSN: 2168-2372            Impact factor:   3.316


  45 in total

1.  A low power multichannel analog front end for portable neural signal recordings.

Authors:  Iyad Obeid; Miguel A L Nicolelis; Patrick D Wolf
Journal:  J Neurosci Methods       Date:  2004-02-15       Impact factor: 2.390

2.  Miniature wireless recording and stimulation system for rodent behavioural testing.

Authors:  R C Pinnell; J Dempster; J Pratt
Journal:  J Neural Eng       Date:  2015-10-15       Impact factor: 5.379

3.  Enabling Low-Power, Multi-Modal Neural Interfaces Through a Common, Low-Bandwidth Feature Space.

Authors:  Zachary T Irwin; David E Thompson; Karen E Schroeder; Derek M Tat; Ali Hassani; Autumn J Bullard; Shoshana L Woo; Melanie G Urbanchek; Adam J Sachs; Paul S Cederna; William C Stacey; Parag G Patil; Cynthia A Chestek
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-11-20       Impact factor: 3.802

4.  Deep brain stimulation in Parkinson's disease can mimic the 300 Hz subthalamic rhythm.

Authors:  G Foffani; A Priori
Journal:  Brain       Date:  2006-12       Impact factor: 13.501

5.  An electronic device for artefact suppression in human local field potential recordings during deep brain stimulation.

Authors:  L Rossi; G Foffani; S Marceglia; F Bracchi; S Barbieri; A Priori
Journal:  J Neural Eng       Date:  2007-03-13       Impact factor: 5.379

6.  Seizure Suppression Efficacy of Closed-Loop Versus Open-Loop Deep Brain Stimulation in a Rodent Model of Epilepsy.

Authors:  M Tariqus Salam; Jose Luis Perez Velazquez; Roman Genov
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-11-10       Impact factor: 3.802

Review 7.  The adaptive deep brain stimulation challenge.

Authors:  Mattia Arlotti; Manuela Rosa; Sara Marceglia; Sergio Barbieri; Alberto Priori
Journal:  Parkinsonism Relat Disord       Date:  2016-04-02       Impact factor: 4.891

Review 8.  Systems for deep brain stimulation: review of technical features.

Authors:  A Amon; F Alesch
Journal:  J Neural Transm (Vienna)       Date:  2017-07-13       Impact factor: 3.575

Review 9.  Dosing of Electrical Parameters in Deep Brain Stimulation (DBS) for Intractable Depression: A Review of Clinical Studies.

Authors:  Rajamannar Ramasubbu; Stefan Lang; Zelma H T Kiss
Journal:  Front Psychiatry       Date:  2018-07-11       Impact factor: 4.157

10.  What brain signals are suitable for feedback control of deep brain stimulation in Parkinson's disease?

Authors:  Simon Little; Peter Brown
Journal:  Ann N Y Acad Sci       Date:  2012-07-25       Impact factor: 5.691

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