Signal Processing in Implantable Neural Recording Microsystems

Razmpour, Sedigheh; Shaeri, Mohammad Ali; Hosseini-Nejad, Hossein; Sodagar, Amir M.

doi:10.1201/b19210-22

Telemedicine and Electronic Medicine 2015

DOI: 10.1201/b19210-22

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Signal Processing in Implantable Neural Recording Microsystems

Sedigheh Razmpour¹,

Mohammad Ali Shaeri²,

Hossein Hosseini-Nejad³

et al.

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Cited by 2 publications

References 60 publications

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A framework for on-implant spike sorting based on salient feature selection

Shaeri

Sodagar

2020

Nat Commun

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On-implant spike sorting methods employ static feature extraction/selection techniques to minimize the hardware cost. Here we propose a novel framework for real-time spike sorting based on dynamic selection of features. We select salient features that maximize the geometric-mean of between-class distances as well as the associated homogeneity index effectively to best discriminate spikes for classification. Wave-shape classification is performed based on a multi-label window discrimination approach. An external module calculates the salient features and discrimination windows through optimizing a replica of the onimplant operation, and then configures the on-implant spike sorter for real-time online operation. Hardware implementation of the on-implant online spike sorter for 512 channels of concurrent extra-cellular neural signals is reported, with an average classification accuracy of 88%. Compared with other similar methods, our method shows reduction in classification error by a factor of~2, and also reduction in the required memory space by a factor of~5.

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A framework for on-implant spike sorting based on salient feature selection

Shaeri

Sodagar

2020

Nat Commun

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Hardware-Efficient, On-the-Fly, On-Implant Spike Sorter Dedicated to Brain-Implantable Microsystems

Kalantari

Hosseini-Nejad

Sodagar

2022

IEEE Trans. VLSI Syst.

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Signal Processing in Implantable Neural Recording Microsystems

Cited by 2 publications

References 60 publications

A framework for on-implant spike sorting based on salient feature selection

A framework for on-implant spike sorting based on salient feature selection

Hardware-Efficient, On-the-Fly, On-Implant Spike Sorter Dedicated to Brain-Implantable Microsystems

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