Evidence map›Paper›PMID 41792849›Full record

ArticleBioelectronic medicine2026

A robust, real‑time telemetry protocol for miniaturized neural implants using off‑the‑shelf hardware.

Mohamed Elgohary, Michael Recine, Jason Wong, Timir Datta-Chaudhuri

Abstract read
In one paragraph

Article in Bioelectronic medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohamed ElgoharyInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical Research and Northwell Health, Manhasset, NY, USA.
Michael RecineInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical Research and Northwell Health, Manhasset, NY, USA.
Jason WongInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical Research and Northwell Health, Manhasset, NY, USA.
Timir Datta-ChaudhuriInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical Research and Northwell Health, Manhasset, NY, USA. tdatta@northwell.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWireless telemetry from fully implanted, millimeter-scale neuromodulation devices is constrained by tight power budgets, inefficient antennas, and in-body attenuation. Standard protocols (e.g., BLE) offer mature ecosystems but exhibit throughput shortfalls and reduced robustness under non-ideal operating conditions. This study introduces the Neural Real-Time Telemetry Protocol (NRTP), a 2.4 GHz, half-duplex protocol designed to address the unmet need for reliable, real-time neural telemetry from miniaturized implants using off-the-shelf hardware, without custom electronics or ASICs.

methodsNRTP was implemented on commercial 2.4 GHz hardware with static-length packets, immediate acknowledgments, bounded retransmissions, and single RF channel operation. We evaluated three mitigation strategies—retries, sample-level interleaving, and data overlapping—individually and in combination, and defined a quantitative evaluation metric that prioritizes data quality and power draw. Using identical hardware for NRTP and BLE, we performed controlled sweeps of received signal strength, tested multiple payload lengths and timing configurations, and measured throughput, data loss, and current draw.

resultsNRTP sustained zero data loss down to -75 dBm, whereas BLE performance degraded below -55 dBm due to throughput shortfalls under interference and deferred unlimited retries. Interleaving converted contiguous gaps into half-rate segments, delaying score decline at lower received signal strength; overlapping improved robustness but its doubled packet rate requirement was power-prohibitive for implant constraints. Across variants, NRTP delivered higher scores and lower variability over a wider operational range than BLE; BLE’s greater scores at high signal strength were driven by lower current consumption but fell off earlier with attenuation. The observed link-margin advantage for NRTP (up to ~ 23 dB at first loss; ~ 11 dB at 0.5% loss) implies ~ 3.2 × range in air, ~ 2.5 cm greater implant depth in tissue, or equivalently lower TX power for similar performance.

conclusionsNRTP provides robust telemetry for miniaturized implantable devices and is readily adoptable on commodity 2.4 GHz hardware. Its immediate, bounded retries and optional interleaving sustain throughput and minimize true data gaps under attenuation and interference, outperforming BLE across operating conditions relevant to small-animal implants. The resulting link-margin gains translate into practical benefits in coverage, implant depth, and power consumption, lowering barriers to chronic, closed-loop studies.

Identifiers

PMID41792849
PMCPMC12967005

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LicenceCC BY-NC-ND
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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.