Cuffless Blood Pressure Wearables Patents: Who Leads, Where the Gaps Are 2026
- 47.3% of all 1,720 records sit with just five assignees, so a freedom-to-operate check in this field starts with a very short list of companies, not a broad market scan.
- A61B dominates at 96.6% of records while informatics (G16H, 7.0%) and AI-based computing (G06N, 1.9%) are claimed far less densely — the algorithmic layer is thinner than the sensing layer.
- Filings fell 46% from the 2021 peak of 180 to 98 in 2024 the last year with a complete filing count, suggesting the core PTT-based approach has moved past its filing surge, not that interest has ended.
Filing growth compares 2021 (180 records) with 2024 (98) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 1,720 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
Cuffless blood pressure wearables estimate arterial pressure without an inflatable cuff, typically from pulse transit time, photoplethysmography, or a combination of optical and electrical signals read continuously from the wrist, finger or chest. The search underlying this page pairs core cuffless/wearable blood pressure terms with the specific technical friction points that separate a lab prototype from a cleared product: calibration drift, hydrostatic effect, validation against a recognised standard, and measurement frequency. That combination captures 1,720 published records dated between 2015 and 2026.
Because publication lags filing by roughly 18 months, the 2025 and 2026 counts in the trend below are still filling in and should not be read as a drop in interest. The dataset is best read as families rather than raw documents where possible, since continuation filings and multi-jurisdiction copies of the same invention can otherwise inflate a single company's apparent footprint.
Filing trends and technology composition
Two views of the same 1,720 records: how filing activity has moved year over year, and which IPC subclasses carry the claims.
A 2021 peak, then a pullback that predates any real slowdown
Annual filings rose from 106 in 2017 to a peak of 180 in 2021, then fell to 98 by 2024 — a 46% decline over that three-year span. Because 2025 and 2026 figures are still incomplete due to publication lag, this should be read as the end of a filing surge around the PTT-calibration problem, not as evidence the field is winding down.
Sensing claims dominate; the software layer is comparatively open
A61B (diagnosis and surgery) appears in 96.6% of the 1,720 records, confirming that nearly every filing touches the physical sensing or measurement apparatus. Healthcare informatics (G16H, 7.0%), general digital data processing (G06F, 3.8%) and AI-based computing (G06N, 1.9%) are claimed far less often, which is where algorithmic and data-handling approaches still have room to file distinct claims.
Shares are the percentage of the 1,720 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Cuffless Blood Pressure Wearables with Eureka
This page is one run against one query. Ask Eureka your own question about cuffless blood pressure wearables and every answer comes back with the patent numbers behind it.
Try EurekaA representative filing and the most-cited prior art
Reliable estimation of pulse transit time in motion for cuffless blood pressure estimation
Describes a method for estimating pulse transit time reliably even while the user is moving, by aligning segments of a photoplethysmographic (PPG) signal to R-wave peaks detected in a simultaneously captured ECG signal and averaging the aligned segments into a cleaner composite waveform for blood pressure estimation.Filed by Intel Corporation, published 2018-07-05 as US20180184921A1.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20100324384A1 | Body-worn pulse oximeter | 469 |
| 2 | US20200329993A1 | Electrocardiogram device | 465 |
| 3 | US20100298656A1 | Alarm system that processes both motion and vital signs using specific heuristic rules and thresholds | 456 |
| 4 | US20200329983A1 | Liquid inhibiting air intake for blood pressure monitor | 439 |
| 5 | US20200330037A1 | Physiological monitoring device attachment assembly | 434 |
| 6 | US20100298661A1 | Method for generating alarms/alerts based on a patient's posture and vital signs | 432 |
| 7 | US20200321793A1 | Charging station for physiological monitoring device | 429 |
| 8 | US20210022628A1 | Patient monitoring systems, devices, and methods | 415 |
| 9 | US20200329984A1 | Blood pressure monitor attachment assembly | 414 |
| 10 | US20110224564A1 | Body-worn vital sign monitor | 407 |
Citation counts reflect influence within the searched corpus and favour older filings; they are not a measure of current commercial relevance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Three findings that change where a competitive or freedom-to-operate review should start.
The leader board is short, not long
Just five assignees account for 814 of the 1,720 records in scope, and the leader alone holds 321. A prior-art or freedom-to-operate search that starts with the ranked leaders will cover roughly half the field before it reaches the long tail of single- and double-digit filers.
Sensing apparatus is crowded; the data layer is not
Almost every record in this landscape claims something in the diagnosis-and-surgery apparatus class. Healthcare informatics, general computing and AI-based computing subclasses are present in a small minority of records, which points to open claim space in how the raw signal is processed, stored or turned into a clinical decision rather than how it is sensed.
A cooling filing pace, not a cooling field
Filings dropped from 180 in the 2021 peak year to 98 in 2024, the last year with a complete count. Read alongside the roughly 18-month publication lag, this looks like consolidation around established PTT-based approaches rather than an exit from the space.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to cuffless blood pressure wearables, with the prior art for and against each one.
Who is filing, and who has recently slowed down
The ranked leaders combine a mix of medical device incumbents, consumer electronics and semiconductor firms, plus academic and research entrants further down the list.
One filer sits well ahead of the field
The leading assignee's 321 records is nearly triple the fifth-place count of 34, meaning the top of this landscape is unusually top-heavy even within a field that is already concentrated at 47.3% for the top five.
Recent-year activity is thinning among mid-table names
Several assignees that were active earlier in the window show sharply reduced or zero filings in the latest year, including one large filer down 58% year-on-year and others at zero. Given publication lag, this understates real activity but still signals where filing intensity has genuinely cooled.
A tight inventor cluster anchors one company's portfolio
The strongest co-assignee pairing in this dataset appears 39 times, with two related pairings each appearing 37 times — all involving the same three named inventors, pointing to a single core R&D team behind a large share of one company's filings.
| Assignee | Recent year | YoY |
|---|---|---|
| Qualcomm Inc | 10 | -58% |
| Masimo Corp | 2 | 0% |
| Inova Design Solutions | 1 | — |
| Samsung Electronics Co Ltd | 0 | -100% |
| Sotera Wireless Inc | 0 | — |
| BANET MATT | 0 | — |
| TRIAGE WIRELESS | 0 | — |
| Omron Healthcare Co Ltd | 0 | — |
Where to take this analysis
The dataset points to specific next steps depending on whether the goal is clearance, licensing or R&D targeting.
Run a freedom-to-operate check against the top five
With 47.3% of all 1,720 records held by five assignees, a targeted FTO review of that group's claims covers nearly half the field before expanding further.
Explore assignee claims in EurekaMap the informatics and AI layer separately
G16H and G06N together sit well under 10% of records, which means algorithmic claims around data handling and AI-based estimation are comparatively open relative to the sensing apparatus itself.
Search white space in EurekaWatch the momentum shift, not just the leader board
Several previously active filers show sharp year-on-year declines; tracking those changes over the next filing cycle will show whether consolidation continues or new entrants fill the gap.
Track assignee momentum in EurekaCommon questions about this landscape
It is fairly concentrated at the top: the five leading assignees hold 814 of the 1,720 records in scope, or 47.3% of the total, and the single leading assignee alone holds 321 records. Below the top ten, which together hold 55.7% of records, the field spreads into a long tail of smaller filers with single- or double-digit counts. Anyone doing a competitive scan should expect the leader board to be short but the full ranked list, covering 100 companies, to thin out quickly after the top ten.
Filings peaked in 2021 at 180 and fell to 98 by 2024, a 46% decline over that span, which is the most recent year with a reasonably complete count. Counts for 2025 and 2026 look lower still, but that is expected: publication typically lags filing by around 18 months, so the most recent years are always undercounted at the point of measurement. The honest read is a cooling filing pace after a 2021 surge, not a field in retreat.
Almost all records, 96.6% of the 1,720 in scope, carry an A61B classification covering diagnosis and surgery apparatus, reflecting that nearly every filing touches the physical sensor or measurement hardware. Healthcare informatics (G16H) appears in 7.0% of records, general digital data processing (G06F) in 3.8%, and AI-based computing (G06N) in just 1.9%. Because a single record can carry several IPC classes, these shares add up to more than 100% and should not be summed or treated as mutually exclusive categories.
US20180184921A1, filed by Intel Corporation and published in 2018, covers a method for keeping pulse transit time estimation reliable while the user is moving, by aligning PPG signal segments to ECG R-wave peaks and averaging them into a cleaner composite waveform. Anyone building a motion-tolerant PTT device that combines simultaneous ECG and PPG capture with this specific alignment-and-averaging approach should review its claims closely before finalising a signal-processing pipeline. It does not block PTT estimation generally, only this particular motion-artefact-handling technique.
The clearest gaps sit above the sensing layer rather than within it: healthcare informatics, general computing and AI-based computing subclasses together cover a small minority of the 1,720 records, well below the 96.6% claimed under core diagnosis-and-surgery apparatus. That points to comparatively open claim space in calibration-drift compensation across devices, hydrostatic-effect correction algorithms, and AI-based signal calibration models, where fewer filings currently compete for the same claim territory. A first claim in these areas would likely centre on the data-processing method itself rather than a new sensor arrangement.
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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.