A computer-assisted spike detecting system using normalized method for epilepsy diagnosis

Oomori, Y.; Yano, Fumihiko; Ninomija, Satoki P.; Kodama, Hiroyuki; Fujino, Tomoyuki; Wada, Juhn A.

doi:10.1109/hicss.1988.11959

Cited by 4 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are also other feature-based methods based on pattern recognition approaches, mathematical transformations, or combinations of both [12]- [16]. These methods might have proven to be generally successful in spike detection but have not been able to attract the interests of the designers of implantable neural recording microsystems due to implementation issues such as circuit complexity, chip area, and power consumption.…”

Section: A Feature-based Approachesmentioning

confidence: 99%

Adaptive spike detection method based on capacitor arrays dedicated to implantable neural recording microsystems

Barati

Sodagar

2010

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

View full text Add to dashboard Cite

An analog spike detector circuit is presented, which adaptively generates a threshold level for spike detection based on hard-thresholding. Operation of the circuit was tested not only with a neural signal obtained from real in-vivo recording from a live animal, but also with a large sinusoidal baseline variation intentionally added to examine the capability of the circuit to track baseline variations as large as 50mV. The circuit runs at 3.3V supply voltage and dissipates 270 microW.

show abstract

Section: A Feature-based Approachesmentioning

confidence: 99%