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Run your analysis now →https://www.patsnap.com/resources/blog/rd-blog/rapid-calibration-and-session-stability-of-neural-decoders-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Medical EquipmentRapid Calibration and Session Stability of Neural Decoders Patents
- Filing has plateaued, not grown. activity peaked at 254 records in 2021 and has since drifted back toward its 2017 level, so the field is not accelerating.
- The top 5 assignees hold just 16.2% of the 2,150 records in scope. and the top 10 only 22.8% — this is a fragmented field with no single gatekeeper.
- A61B and G06F together anchor the claim space. diagnosis/surgery hardware and digital data processing dominate, while electrotherapy (A61N) and commerce-layer filings (G06Q) remain comparatively thin.
2,150
Published Records
16%
Top-5 Share of All Records
-45%
3-Yr Growth (lag-adjusted)
US
Leading Jurisdiction
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview
What this field covers
Rapid calibration and session stability address a practical bottleneck in neural decoding: a decoder trained on one session's signal statistics degrades when a user's brain or body signal drifts, or when a new user sits down cold. Patent activity in this space spans unsupervised or semi-supervised adaptation methods, reduced-calibration-time protocols, and signal nonstationarity correction across brain-computer interface, wearable and clinical monitoring contexts. The search basis here pulls records that explicitly mention calibration time, signal nonstationarity, unsupervised adaptation, user effort, fatigue or clinical deployment in title or claims.
Because publication lags filing by roughly 18 months, the most recent year in any trend line understates real activity; treat the 2025-2026 figures as a floor, not a ceiling.
Filing activity, 2017-2026
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Rapid Calibration and Session Stability of Neural Decoders covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The data
Filing trends and technology composition
The 2,150 records in scope span a decade of filing, with concentration in a handful of IPC subclasses tied to diagnostic hardware and data processing rather than pure electrotherapy.
A decade of flat-to-declining filing after a 2021 peak
Filings ran at 85 in 2017, climbed to a peak of 254 in 2021, and by the midpoint year of 2022 sat at 176 — already below peak. The most recent full year sits at 80, consistent with either genuine cooling or publication lag masking recent activity; either way, growth is not the story here.
Diagnosis and data processing dominate the claim space
A61B (diagnosis & surgery) appears in 31.2% of records and G06F (digital data processing) in 23.8%, with G16H (healthcare informatics) close behind at 20.7%. A63B (sports & gymnastics equipment) at 11.3% and A61N (electrotherapy) at 8.5% mark smaller but active adjacent claim territories. Because records can carry multiple IPC classes, these shares sum to well over 100% of the record total.
Shares are the percentage of the 2,150 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Rapid Calibration and Session Stability of Neural Decoders covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.
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A representative recent filing
Representative record · 2025-12-11
User effort measurement during workout session (US20250375663A1, Apple Inc.)
APPLE INC.
Discloses a two-stage machine learning pipeline: a first model classifies workout-session user effort into one of several known categories from session-derived features, and a second model receives both those features and the first model's classification output to refine or act on the estimate.Abstract trimmed for length; see the full record for complete claim language.
Most-cited records in this dataset
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20070259717A1 | Gesture controlled casino gaming system | 825 |
| 2 | US20150142492A1 | Voice-based health monitor including a vocal energy level monitor | 671 |
| 3 | US20070259716A1 | Control of wager-based game using gesture recognition | 563 |
| 4 | US20130231711A1 | Systems and methods for configuring a wearable medical monitoring and/or treatment device | 557 |
| 5 | US10388272B1 | Training speech recognition systems using word sequences | 482 |
| 6 | US10573312B1 | Transcription generation from multiple speech recognition systems | 443 |
| 7 | US20200175961A1 | Training of speech recognition systems | 410 |
| 8 | US20140304505A1 | Abstraction layer for default encryption with orthogonal encryption logic session object; and automated authe… | 376 |
| 9 | US5725563A | Electronic device and method for adrenergically stimulating the sympathetic system with respect to the venous… | 332 |
| 10 | US6171112B1 | Methods and apparatus for authenticating informed consent | 331 |
Citation counts favour older records simply by virtue of being searchable longer; read them as a signal of influence within this corpus, not as a ranking of current importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Rapid Calibration and Session Stability of Neural Decoders covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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What the numbers mean for filing strategy
Three patterns stand out once the ranking, the trend and the IPC mix are read together.
Concentration
16.2% / 22.8%
top 5 / top 10 share of 2,150 records
No single gatekeeper controls the claim space
The leader holds 164 records against a field of 2,150, and even the combined top 10 accounts for less than a quarter of all records. This is a landscape shaped more by a long tail of single- and few-filing entrants than by a handful of blocking incumbents, which changes how freedom-to-operate searches should be scoped.
Ranking covers 100 companies, the full set the data endpoint returns.
Momentum
254 (2021) → 80 (latest year)
peak vs. most recent full year
The 2021 peak has not been sustained
Filing rose sharply into 2021 and has fallen in the years since, including among several of the most active named assignees, several of which show 0 filings and -100% year-on-year in the latest year captured. Some of that decline is publication lag; not all of it is.
Midpoint year 2022 already sat below peak at 176.
Technology mix
31.2% A61B · 23.8% G06F
share of 2,150 records
Diagnostic hardware and data processing lead; electrotherapy trails
A61B and G06F together frame most active claims, with G16H healthcare informatics close behind. A61N electrotherapy sits at 8.5%, notably lower than the data-processing side of the stack, suggesting adaptation algorithms are more heavily claimed than the therapeutic delivery hardware they run on.
Classes overlap; shares are of the 2,150 record total, not of each other.
Eureka AI Agent
Looking for what nobody has claimed yet?
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to rapid calibration and session stability of neural decoders, with the prior art for and against each one.
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Rapid Calibration and Session Stability of Neural Decoders covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players
Who is filing, and where the gaps sit
Filing is fragmented across consumer wearables, clinical device makers and platform software licensors, with co-filing patterns concentrated inside single corporate families rather than across them.
Leader
164 records
leading assignee's filing count
A wearable/clinical monitoring specialist sits at the top
The leading assignee's 164 records is well ahead of fifth place at 40 and tenth place at 24 — a steep drop-off that says the leader's position is not being closely contested by a peer group of similar size.
Gap from 1st to 5th is larger than from 5th to 10th.
Co-filing
10 pairs
co-assignee pairs identified
Co-assignee activity is mostly intra-group
The strongest co-assignee pairs link entities inside the same corporate family, with the top pair appearing together on 37 records. This points to internal group filing coordination rather than cross-company joint development.
Second- and third-strongest pairs each appear together 8 times.
Momentum
-100% YoY
several named assignees, latest year
Several previously active filers show zero output in the latest year
Multiple assignees that built meaningful portfolios in this space show no filings in the latest year captured, with year-on-year declines of -100% where a prior baseline existed. Given publication lag, some of this may reverse as later filings surface.
Read latest-year momentum figures as provisional, not final.
Recent-year filing momentum by assignee
| Assignee | Recent year | YoY |
|---|---|---|
| ResMed Sensor Technologies Ltd | 0 | -100% |
| ResMed Pty Ltd | 0 | -100% |
| Microsoft Technology Licensing, LLC | 0 | -100% |
| Nike, Inc. | 0 | — |
| Electrocore, Inc. | 0 | -100% |
| Nike Innovate C.V. | 0 | — |
| Koninklijke Philips N.V. | 0 | -100% |
| Sorenson IP Holdings, LLC | 0 | -100% |
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Rapid Calibration and Session Stability of Neural Decoders covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's next
Where to take this
The dataset points to a fragmented, plateauing field where the claim space is defined more by data-processing methods than by therapeutic hardware.
Map freedom-to-operate against the long tail, not just the leader
With the top 10 assignees holding only 22.8% of records, a freedom-to-operate search that stops at the named leaders will miss most of the relevant art.
Run a freedom-to-operate scan in Eureka →Watch whether the 2021 peak was a one-off or a lag artefact
The drop from 254 records in 2021 to 80 in the latest year needs a fuller citation and filing-date check before it is read as genuine decline.
Track filing trends in Eureka →Probe the under-claimed adaptation sub-areas directly
Fatigue-aware recalibration and zero-shot calibration for first-time users sit outside the densest IPC clusters and may offer more open claim space.
Explore white space in Eureka →Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Rapid Calibration and Session Stability of Neural Decoders covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ
Common questions
This dataset identifies 2,150 published records matching calibration-time, signal-nonstationarity, unsupervised-adaptation and related search terms across the 2015-2026 window. That figure counts patent families in the assignee ranking, which is the fairer unit than raw document counts because it neutralises continuation filings and multi-jurisdiction duplicates. The true current total is likely higher than shown, since publication lags filing by roughly 18 months and the most recent years are undercounted.
The leading assignee holds 164 of the 2,150 records in scope, well ahead of the fifth-ranked entity at 40 and tenth-ranked at 24. Even so, the top 5 assignees combined hold only 16.2% of all records and the top 10 only 22.8%, meaning the field is fragmented rather than dominated by one or two firms. A freedom-to-operate review needs to look well beyond the named leaders to cover the long tail of single- and few-filing entrants.
Filing activity peaked at 254 records in 2021 and has declined since, falling to 80 records in the most recent full year captured, below even the 2017 starting level of 85. Several previously active assignees show zero filings and -100% year-on-year change in the latest year. Some of this apparent decline reflects publication lag rather than a genuine drop in R&D activity, so it is worth revisiting this trend line in a year or two.
A61B (diagnosis and surgery) leads at 31.2% of the 2,150 records, followed by G06F (digital data processing) at 23.8% and G16H (healthcare informatics) at 20.7%. This indicates that most claims are built around data-processing and diagnostic methods rather than the electrotherapy hardware itself, which sits lower at 8.5% under A61N. Because a single record can carry multiple IPC classes, these percentages sum to more than 100% of the record total and should not be treated as mutually exclusive shares.
Relative to the dense core of calibration-time and unsupervised-adaptation claims, sub-areas such as fatigue-aware recalibration triggers, zero-shot calibration for first-time users, and cross-session drift correction for implanted electrodes show comparatively lighter claim density. These are not empty fields, but they sit outside the heaviest-claimed IPC clusters (A61B, G06F, G16H) identified in this dataset. Any filing strategy targeting these branches should still run a full clearance search, since low visible density does not guarantee an open first claim.
Answers are grounded in the same dataset. Derived from a Patsnap search on Rapid Calibration and Session Stability of Neural Decoders covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.