PELP: Accounting for Missing Data in Neural Time Series by Periodic Estimation of Lost Packets.

ABSTRACT: Recent advances in wireless data transmission technology have the potential to revolutionize clinical neuroscience. Today sensing-capable electrical stimulators, known as "bidirectional devices", are used to acquire chronic brain activity from humans in natural environments. However, with wireless transmission come potential failures in data transmission, and not all available devices correctly account for missing data or provide precise timing for when data losses occur. Our inability to precisely reconstruct time-domain neural signals makes it difficult to apply subsequent neural signal processing techniques and analyses. Here, our goal was to accurately reconstruct time-domain neural signals impacted by data loss during wireless transmission. Towards this end, we developed a method term

SUBMITTER: Dastin-van Rijn EM 

PROVIDER: S-EPMC9301255 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature