ArticleThe ... Midwest Symposium on Circuits and Systems conference proceedings : MWSCAS. Midwest Symposium on Circuits and Systems2024
Mitigating Effects of Packet Loss in Wireless Neural Data Transfer: Exploring the Influence of Low-Cost Recovery Methods on Spikes and HFOs in iEEG.
Article in The ... Midwest Symposium on Circuits and Systems conference proceedings : MWSCAS. Midwest Symposium on Circuits and Systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Implant-Grade Neural Sensing with Artifact-Resilient Computational Intelligence Preserves Spatial Fidelity of HFO Biomarkers in Epilepsy.Research square · 2026Article
- Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development.Journal of neural engineering · 2025Review
- Spurious Spike Elimination using Sparse Signal Processing Improves Seizure Onset Zone Delineation in Brief Intraoperative iEEG Recordings.The ... Midwest Symposium on Circuits and Systems conference proceedings : MWSCAS. Midwest Symposium on Circuits and Systems · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
The wireless transmission of neural data may pose the risk of packet loss (PL), potentially compromising signal quality or, in extreme cases, causing complete data loss. Addressing lost packets is essential to ensure data integrity and preserve vital neural patterns. This study investigates the effect of PL interference on epilepsy neuro biomarkers, focusing specifically on interictal epileptiform spikes and high frequency oscillations (HFOs), and the performance of the low computational cost interpolation methods. We observed that 95% of spikes and 81% of HFOs could be recovered with linear interpolation at 5% PL, while 97% and 86%, respectively, with spline interpolation. Linear interpolation has the potential to recover neural events and reduce the noise floor with modest packet loss levels of up to 5% at a lower computational cost. However, for a higher level of PL, utilizing more intricate methodologies such as spline interpolation becomes imperative.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.