Fully Passive Flexible Wireless Neural Recorder for the Acquisition of Neuropotentials from a Rat Model

Shiyi Liu, Carolina Moncion, Jianwei Zhang, Lakshmini Balachandar, Dzifa Kwaku, Jorge J. Riera, John L. Volakis, Junseok Chae

Research output: Contribution to journalArticle

Abstract

Wireless implantable neural interfaces can record high-resolution neuropotentials without constraining patient movement. Existing wireless systems often require intracranial wires to connect implanted electrodes to an external head stage or/and deploy an application-specific integrated circuit (ASIC), which is battery-powered or externally power-transferred, raising safety concerns such as infection, electronics failure, or heat-induced tissue damage. This work presents a biocompatible, flexible, implantable neural recorder capable of wireless acquisition of neuropotentials without wires, batteries, energy harvesting units, or active electronics. The recorder, fabricated on a thin polyimide substrate, features a small footprint of 9 mm × 8 mm × 0.3 mm and is composed of passive electronic components. The absence of active electronics on the device leads to near zero power consumption, inherently avoiding the catastrophic failure of active electronics. We performed both in vitro validation in a tissue-simulating phantom and in vivo validation in an epileptic rat. The fully passive wireless recorder was implanted under rat scalp to measure neuropotentials from its contact electrodes. The implanted wireless recorder demonstrated its capability to capture low voltage neuropotentials, including somatosensory evoked potentials (SSEPs), and interictal epileptiform discharges (IEDs). Wirelessly recorded SSEP and IED signals were directly compared to those from wired electrodes to demonstrate the efficacy of the wireless data. In addition, a convoluted neural network-based machine learning algorithm successfully achieved IED signal recognition accuracy as high as 100 and 91% in wired and wireless IED data, respectively. These results strongly support the fully passive wireless neural recorder's capability to measure neuropotentials as low as tens of microvolts. With further improvement, the recorder system presented in this work may find wide applications in future brain machine interface systems.

Original languageEnglish (US)
JournalACS Sensors
DOIs
StateAccepted/In press - Jan 1 2019

Fingerprint

recorders
rats
Rats
acquisition
electronics
Electronic equipment
electric batteries
Bioelectric potentials
wire
Electrodes
machine learning
electrodes
application specific integrated circuits
Wire
infectious diseases
footprints
Tissue
polyimides
low voltage
brain

Keywords

  • flexible
  • fully passive
  • implantable
  • neural recorder
  • wireless

ASJC Scopus subject areas

  • Bioengineering
  • Instrumentation
  • Process Chemistry and Technology
  • Fluid Flow and Transfer Processes

Cite this

Fully Passive Flexible Wireless Neural Recorder for the Acquisition of Neuropotentials from a Rat Model. / Liu, Shiyi; Moncion, Carolina; Zhang, Jianwei; Balachandar, Lakshmini; Kwaku, Dzifa; Riera, Jorge J.; Volakis, John L.; Chae, Junseok.

In: ACS Sensors, 01.01.2019.

Research output: Contribution to journalArticle

Liu, Shiyi ; Moncion, Carolina ; Zhang, Jianwei ; Balachandar, Lakshmini ; Kwaku, Dzifa ; Riera, Jorge J. ; Volakis, John L. ; Chae, Junseok. / Fully Passive Flexible Wireless Neural Recorder for the Acquisition of Neuropotentials from a Rat Model. In: ACS Sensors. 2019.
@article{19ecc14daa044ec4856646a9fe4f7da7,
title = "Fully Passive Flexible Wireless Neural Recorder for the Acquisition of Neuropotentials from a Rat Model",
abstract = "Wireless implantable neural interfaces can record high-resolution neuropotentials without constraining patient movement. Existing wireless systems often require intracranial wires to connect implanted electrodes to an external head stage or/and deploy an application-specific integrated circuit (ASIC), which is battery-powered or externally power-transferred, raising safety concerns such as infection, electronics failure, or heat-induced tissue damage. This work presents a biocompatible, flexible, implantable neural recorder capable of wireless acquisition of neuropotentials without wires, batteries, energy harvesting units, or active electronics. The recorder, fabricated on a thin polyimide substrate, features a small footprint of 9 mm × 8 mm × 0.3 mm and is composed of passive electronic components. The absence of active electronics on the device leads to near zero power consumption, inherently avoiding the catastrophic failure of active electronics. We performed both in vitro validation in a tissue-simulating phantom and in vivo validation in an epileptic rat. The fully passive wireless recorder was implanted under rat scalp to measure neuropotentials from its contact electrodes. The implanted wireless recorder demonstrated its capability to capture low voltage neuropotentials, including somatosensory evoked potentials (SSEPs), and interictal epileptiform discharges (IEDs). Wirelessly recorded SSEP and IED signals were directly compared to those from wired electrodes to demonstrate the efficacy of the wireless data. In addition, a convoluted neural network-based machine learning algorithm successfully achieved IED signal recognition accuracy as high as 100 and 91{\%} in wired and wireless IED data, respectively. These results strongly support the fully passive wireless neural recorder's capability to measure neuropotentials as low as tens of microvolts. With further improvement, the recorder system presented in this work may find wide applications in future brain machine interface systems.",
keywords = "flexible, fully passive, implantable, neural recorder, wireless",
author = "Shiyi Liu and Carolina Moncion and Jianwei Zhang and Lakshmini Balachandar and Dzifa Kwaku and Riera, {Jorge J.} and Volakis, {John L.} and Junseok Chae",
year = "2019",
month = "1",
day = "1",
doi = "10.1021/acssensors.9b01491",
language = "English (US)",
journal = "ACS Sensors",
issn = "2379-3694",
publisher = "American Chemical Society",

}

TY - JOUR

T1 - Fully Passive Flexible Wireless Neural Recorder for the Acquisition of Neuropotentials from a Rat Model

AU - Liu, Shiyi

AU - Moncion, Carolina

AU - Zhang, Jianwei

AU - Balachandar, Lakshmini

AU - Kwaku, Dzifa

AU - Riera, Jorge J.

AU - Volakis, John L.

AU - Chae, Junseok

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Wireless implantable neural interfaces can record high-resolution neuropotentials without constraining patient movement. Existing wireless systems often require intracranial wires to connect implanted electrodes to an external head stage or/and deploy an application-specific integrated circuit (ASIC), which is battery-powered or externally power-transferred, raising safety concerns such as infection, electronics failure, or heat-induced tissue damage. This work presents a biocompatible, flexible, implantable neural recorder capable of wireless acquisition of neuropotentials without wires, batteries, energy harvesting units, or active electronics. The recorder, fabricated on a thin polyimide substrate, features a small footprint of 9 mm × 8 mm × 0.3 mm and is composed of passive electronic components. The absence of active electronics on the device leads to near zero power consumption, inherently avoiding the catastrophic failure of active electronics. We performed both in vitro validation in a tissue-simulating phantom and in vivo validation in an epileptic rat. The fully passive wireless recorder was implanted under rat scalp to measure neuropotentials from its contact electrodes. The implanted wireless recorder demonstrated its capability to capture low voltage neuropotentials, including somatosensory evoked potentials (SSEPs), and interictal epileptiform discharges (IEDs). Wirelessly recorded SSEP and IED signals were directly compared to those from wired electrodes to demonstrate the efficacy of the wireless data. In addition, a convoluted neural network-based machine learning algorithm successfully achieved IED signal recognition accuracy as high as 100 and 91% in wired and wireless IED data, respectively. These results strongly support the fully passive wireless neural recorder's capability to measure neuropotentials as low as tens of microvolts. With further improvement, the recorder system presented in this work may find wide applications in future brain machine interface systems.

AB - Wireless implantable neural interfaces can record high-resolution neuropotentials without constraining patient movement. Existing wireless systems often require intracranial wires to connect implanted electrodes to an external head stage or/and deploy an application-specific integrated circuit (ASIC), which is battery-powered or externally power-transferred, raising safety concerns such as infection, electronics failure, or heat-induced tissue damage. This work presents a biocompatible, flexible, implantable neural recorder capable of wireless acquisition of neuropotentials without wires, batteries, energy harvesting units, or active electronics. The recorder, fabricated on a thin polyimide substrate, features a small footprint of 9 mm × 8 mm × 0.3 mm and is composed of passive electronic components. The absence of active electronics on the device leads to near zero power consumption, inherently avoiding the catastrophic failure of active electronics. We performed both in vitro validation in a tissue-simulating phantom and in vivo validation in an epileptic rat. The fully passive wireless recorder was implanted under rat scalp to measure neuropotentials from its contact electrodes. The implanted wireless recorder demonstrated its capability to capture low voltage neuropotentials, including somatosensory evoked potentials (SSEPs), and interictal epileptiform discharges (IEDs). Wirelessly recorded SSEP and IED signals were directly compared to those from wired electrodes to demonstrate the efficacy of the wireless data. In addition, a convoluted neural network-based machine learning algorithm successfully achieved IED signal recognition accuracy as high as 100 and 91% in wired and wireless IED data, respectively. These results strongly support the fully passive wireless neural recorder's capability to measure neuropotentials as low as tens of microvolts. With further improvement, the recorder system presented in this work may find wide applications in future brain machine interface systems.

KW - flexible

KW - fully passive

KW - implantable

KW - neural recorder

KW - wireless

UR - http://www.scopus.com/inward/record.url?scp=85075604733&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85075604733&partnerID=8YFLogxK

U2 - 10.1021/acssensors.9b01491

DO - 10.1021/acssensors.9b01491

M3 - Article

AN - SCOPUS:85075604733

JO - ACS Sensors

JF - ACS Sensors

SN - 2379-3694

ER -