Wearable ECG Patents: Who Leads, Where the Gaps Are 2026
- Filing is still accelerating, not plateauing. activity moved from zero in 2017 to a peak of 5 filings in 2025, with the midpoint year showing only 2 — the growth curve is recent, not mature.
- India dominates the receiving offices. 13 of the tracked filings route through the Indian patent office, against single-digit counts for EPO, the US, Hong Kong and the PCT route combined.
- No single assignee has pulled ahead. the field shows 10 co-assignee pairings and a set of academic and independent filers each with one or two families — concentration has not happened yet.
What the wearable ECG patent record shows
Wearable ECG point-of-care diagnostics sits at the intersection of flexible sensing hardware, on-device or cloud-based signal processing, and remote clinical workflows. The dataset behind this page covers 17 patent families published between 2015 and the 2026 data cut-off, filtered to documents that combine wearable ECG or ECG-patch terminology with point-of-care, arrhythmia-detection, at-home diagnostic or remote cardiac-monitoring language, and classified under diagnostic (A61B5), healthcare informatics (G16H) or related computing IPC codes. That is a small, young corpus — every count here should be read as a signal of where activity is starting, not a mature, settled field.
Publication lags filing by roughly eighteen months, so the 2025 and 2026 figures in the trend line understate real filing activity in those years; the true recent trajectory is steeper than the chart shows. Because patent families rather than raw document counts are used throughout, the numbers here already strip out duplicate continuation and multi-jurisdiction filings for the same invention.
Filing trend and technology composition
Two views of the same 17 families: how filing volume has moved year over year, and which IPC subclasses the claims actually sit in.
From zero to five filings a year
The filing trend starts flat — no records in 2017 — then builds through the middle years to a midpoint of 2 filings in 2022, before reaching a peak of 5 in 2025, the highest single year in the dataset. Because 2026 is only partially captured at this cut-off and publication lags filing, the true recent trend is likely still climbing rather than levelling off.
Diagnosis codes dominate, informatics is secondary
Every one of the 17 records carries an A61B classification (diagnosis and surgery), confirming the corpus is squarely about the sensing and diagnostic hardware rather than software alone. G16H (healthcare informatics) appears in 5 records, showing a meaningful but secondary cluster building cloud or workflow layers on top of the sensor claims. G06F and G06N appear only once each, which suggests AI-driven signal processing is only beginning to show up in claim language.
Shares are the percentage of the 17 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Wearable ECG Point-of-Care Diagnostics with Eureka
This page is one run against one query. Ask Eureka your own question about wearable ecg point-of-care diagnostics and every answer comes back with the patent numbers behind it.
Try EurekaA representative filing and the most-cited record
Advanced ultra-low-power ECG patch integrating self-power generation with artificial intelligence cloud platform (WO2024057344A3)
The filing describes a self-powered ECG patch sampling at 256 samples/s with 16-bit resolution, built around an ultra-low-power hardware stack, an IoT-based cloud service for AI-assisted arrhythmia detection, and a companion Android app for data streaming. The device is specified as flexible, slim (193.7 mm × 62.4 mm × 8.6 mm) and lightweight (43 g), with a stated battery life of two weeks per charge, aimed at continuous monitoring during normal daily activity.Filed by FALLAHSHAYAN, MASOOD; published 2024-04-25.
View full filing| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20230165502A1 | Multi-lead electrode placement on a wearable electrocardiogram device | 2 |
Citation counts inside a small, recent corpus like this one favour earlier-published records simply because they have had more time to be cited — treat this as a marker of early influence, not of current commercial importance.
Publication numbers are shown where the record carries one (1 of 1 rows); clicking a row searches Eureka by that number.
Put your own technology through the same analysis
Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →MCP server & REST API
When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →What the numbers mean for a filing decision
Three patterns stand out once the trend, the IPC split and the receiving-office data are read together.
Filing activity is concentrated in one jurisdiction
Thirteen of the seventeen tracked records were filed through the Indian patent office, dwarfing the single-digit counts through EPO, the USPTO, Hong Kong and the PCT route. That skews the dataset toward domestic academic and early-stage filers rather than the multinational device makers who typically file first in the US or via PCT.
Growth is recent and still accelerating
The filing trend moved from zero records in 2017 to a peak of five in 2025, with the midpoint year of 2022 showing only two filings. That shape — flat, then a late acceleration — points to a field that only recently became patent-active, meaning the claim landscape is still forming rather than settled.
Diagnostic hardware claims lead informatics claims
Every record in the corpus carries an A61B diagnostic classification, while only five also carry a G16H healthcare-informatics code and just one each touch G06F or G06N computing classes. AI-assisted signal processing is present in the field's flagship filings but has not yet become a widely claimed layer.
No dominant assignee has emerged
Ten co-assignee pairings appear across the dataset, most involving academic institutions filing jointly with named inventors, and momentum in the latest year is spread across several single-family filers rather than concentrated in one organisation.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to wearable ecg point-of-care diagnostics, with the prior art for and against each one.
Who is filing, and where the claim space is still open
The assignee base is fragmented: academic engineering departments, one or two independent filers, and no organisation yet filing at volume. Momentum in the most recent year is split across several first-time filers rather than repeat filers building a portfolio.
Academic co-filers lead recent activity
Filers such as Varun P George and Sreeram P, both associated with Government Engineering College Thrissur, and Narula Institute of Technology each recorded one family in the latest year, forming the front edge of current filing activity.
Some early filers have gone quiet
Saveetha Institute of Medical & Technical Sciences shows zero filings in the latest year against prior activity, a full year-over-year drop that suggests a one-off filing rather than a sustained research programme.
Collaboration runs through academic departments
The strongest co-assignee links connect individual inventors to their home institutions — Government Engineering College Thrissur and Government Engineering College Idukki both recur — indicating that filings here are largely thesis- or lab-driven rather than corporate R&D.
| Assignee | Recent year | YoY |
|---|---|---|
| VARUN P GEORGE GOVERNMENT ENGINEERING COLLEGE THRISSUR RAMAVARMAPURAM KERALA | 1 | — |
| SREERAM P GOVERNMENT ENGINEERING COLLEGE THRISSUR RAMAVARMAPURAM KERALA | 1 | — |
| NARULA INST OF TECH | 1 | — |
| AliveCor, Inc. | 0 | — |
| SAVEETHA INST OF MEDICAL & TECH SCI | 0 | -100% |
| RAJESWARAMAHIDAR P | 0 | — |
| PITCHAI R | 0 | -100% |
| N SUBBARAYUDU | 0 | — |
Where to take this next
The dataset points to open claim territory rather than a settled field — the next steps depend on whether you are scoping freedom-to-operate or looking for a filing angle.
Run a freedom-to-operate check on the AI-cloud layer
With only one G06N-classified record in the corpus, an AI-assisted arrhythmia-detection claim built on top of patch hardware faces comparatively little charted prior art here — but confirm against the broader global corpus, not just this filtered set.
Explore in Patsnap EurekaWatch the Indian filing cluster for consolidation
Thirteen of seventeen records route through India's patent office with no dominant assignee yet; a company or institution that starts filing repeat families here could move quickly from unranked to leading.
Track assignees in Patsnap EurekaRe-run the trend query closer to the next data refresh
Because 2025 and 2026 filings are still arriving in the public record, revisit the filing-trend chart in a future data pull before concluding the 2025 peak is the field's high point.
Set up monitoring in Patsnap EurekaCommon questions on wearable ECG patents
This dataset tracks 17 patent families published between 2015 and the mid-2026 data cut-off, filtered specifically to filings that combine wearable ECG or ECG-patch terminology with point-of-care, arrhythmia-detection or remote-monitoring language. That is a narrow, young corpus rather than the full universe of ECG-related patents worldwide. Broader searches without the point-of-care and diagnostic-code filters would return a larger set, but this scoped view is what shows the specific competitive dynamics of at-home and remote cardiac monitoring.
No single company dominates this corpus; filing activity is spread across academic institutions and independent inventors, with the strongest links being co-assignee pairings between individual filers and their home engineering colleges. Recent-year momentum is split across several first-time filers rather than concentrated in a repeat corporate filer. This suggests the field is still in an early, fragmented stage where a well-resourced entrant filing at volume could move to a leading position relatively quickly.
It is growing. The filing trend moved from zero records in 2017 to two by the midpoint year of 2022, and on to a peak of five filings in 2025 — the highest single year in the dataset. Because patent publication typically lags filing by around eighteen months, the 2025 and 2026 figures likely understate real activity in those years, meaning the true growth curve is probably steeper than the visible chart.
Every record in this dataset carries an A61B classification, the diagnosis and surgery subclass that covers ECG sensing hardware directly. A smaller cluster of five records also carries a G16H healthcare-informatics classification, covering cloud platforms and clinical workflow layers built on top of the sensor. Only one record each touches G06F (digital data processing) and G06N (AI-based computing), indicating that software and AI claims are present but still a minor share of the field's claim language.
The clearest gap sits between the heavily claimed A61B diagnostic-hardware layer and the thin G06F/G06N computing layer — AI-assisted arrhythmia classification, self-powered patch energy harvesting, and cloud-based multi-lead placement optimisation each appear in only a handful of records. A first claim combining low-power patch hardware with a specific, narrowly defined AI classification method would sit in currently under-claimed territory based on this corpus, though a full freedom-to-operate search beyond this filtered dataset is still necessary before filing.
Research Wearable ECG Point-of-Care Diagnostics in depth with Eureka
Go past this page: query the whole wearable ecg point-of-care diagnostics corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.