2008
DOI: 10.1109/tbcas.2008.2003198
|View full text |Cite
|
Sign up to set email alerts
|

Low-Power Circuits for Brain–Machine Interfaces

Abstract: Abstract-This paper presents work on ultra-low-power circuits for brain-machine interfaces with applications for paralysis prosthetics, stroke, Parkinson's disease, epilepsy, prosthetics for the blind, and experimental neuroscience systems. The circuits include a micropower neural amplifier with adaptive power biasing for use in multi-electrode arrays; an analog linear decoding and learning architecture for data compression; low-power radio-frequency (RF) impedance-modulation circuits for data telemetry that m… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
28
0

Year Published

2008
2008
2021
2021

Publication Types

Select...
4
3
1

Relationship

1
7

Authors

Journals

citations
Cited by 73 publications
(28 citation statements)
references
References 33 publications
0
28
0
Order By: Relevance
“…The amplifi er is the key module of this type of driver. Low -power neural amplifi ers are extremely important in recording brain -machine interfaces (BMIs) since one such amplifi er is needed for each microelectrode [31] . Three challenges exist in amplifi er design:…”
Section: Driversmentioning
confidence: 99%
“…The amplifi er is the key module of this type of driver. Low -power neural amplifi ers are extremely important in recording brain -machine interfaces (BMIs) since one such amplifi er is needed for each microelectrode [31] . Three challenges exist in amplifi er design:…”
Section: Driversmentioning
confidence: 99%
“…In the past decade, neuroscientists and clinicians have researched to observe the behavior of biopotentials, and the demand for low-noise lowpower neural recording system has grown dramatically [1], [2]. An implantable neural recording system may provide an effective way for the development of practical brain-machineinterface (BMI) systems or epileptic seizure detection [3], [4].…”
Section: Introductionmentioning
confidence: 99%
“…Adaptive biasing schemes [6] and high-efficiency circuit design approaches [1,7,8] are used as well to save power in analog building blocks. Likewise, several system-level approaches are employed for such purpose.…”
Section: Introductionmentioning
confidence: 99%