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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →This landscape covers 24 patent families published between 2015 and mid-2026 that combine wearable biosensor or sweat-sensor claims with skin-interface, motion-artifact, calibration-free, power-budget or long-term-wear language, filed under diagnosis (A61B5), material analysis (G01N27) or wireless communication (H04W4) classifications. It is a narrow, functionally-defined slice of the broader wearable-sensor space, built to isolate filings that address the practical problems of keeping a biosensor on skin and working for days rather than minutes.
Because the search string requires both a device term and an operational constraint (skin interface, motion artifact, calibration-free, power budget, long-term wear), the set skews toward filings that engineers wrote to solve a specific failure mode, not toward broad device patents. That makes the corpus small but unusually diagnostic of where real deployment friction sits.
Pick a task. Every answer cites the patents behind it.
Two views of the same 24-family dataset: how filing volume has moved year over year, and which IPC subclasses carry the claim weight.
Filings moved from zero in 2017 to a peak of 9 in 2024, with the 2022 midpoint at only 1 family — the curve is still on its way up, not flattening, and 2025-2026 figures will revise upward as later publications land.
A61B (diagnosis and surgery) appears in every family in the set. G01N (material analysis, 6) and G16H (healthcare informatics, 4) trail well behind, and single-digit appearances in G06N, A61K, A61M, A61P and D01F mark thin, exploratory claim activity rather than established sub-fields.
Shares are the percentage of the 24 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about wearable biosensors for continuous health monitoring and every answer comes back with the patent numbers behind it.
Try EurekaThe filing describes a wearable biosensor built around microneedles, claiming extended wear life, reduced or eliminated warm-up time, a skin-locking insertion process, improved microneedle durability against breakage, and manufacturability improvements aimed at scaling production without sacrificing wear comfort.US20240285236A1 is the most-cited record in this dataset (7 citations) and the only one explicitly targeting warm-up time and skin-locking together.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20240285236A1 | Wearable biosensor device | 7 |
| 2 | WO2021107871A1 | Wearable sweat sensor | 5 |
| 3 | WO2024148374A1 | Wearable biosensor device with improved cover and improved for flexibility and conformance | 3 |
| 4 | US20230012507A1 | Wearable sweat sensor | 2 |
| 5 | CN121101553A | 一种透气型汗液刺激和传感集成系统及其制备方法 | 1 |
| 6 | US12318224B2 | Wearable biosensor device | 1 |
Citation counts are drawn from a search-scoped corpus and favour older filings that have had more time to accumulate citations; treat them as a signal of influence within this dataset, not a ranking of current commercial importance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Publication numbers are shown where the record carries one (6 of 6 rows); clicking a row searches Eureka by that number.
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 →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 →Three read-outs from the filing trend, IPC spread and receiving-office data that matter for anyone deciding where to file or who to watch.
The 2022 midpoint sits at a single family; nearly all volume in this set arrived in the two years before the 2024 peak. Anyone benchmarking against a 2020-era competitor set is looking at a field that has since multiplied.
Every family in the set has diagnosis/surgery classification; healthcare informatics (G16H) and AI-based computing (G06N) appear in only a handful. The device layer is where the prior art is dense — the analytics layer around it is comparatively open.
India, the EPO and the US each carry a similar share of receiving-office activity, with WIPO/PCT filings (4) suggesting some applicants are still choosing international routes before committing to national phase.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to wearable biosensors for continuous health monitoring, with the prior art for and against each one.
With 24 families spread across a mix of corporate, university and individual-inventor filers, the assignee base is fragmented — collaboration is limited to a small handful of co-filing pairs, and no assignee shows sustained year-on-year filing growth into the latest year.
Aquilx's filing holds the most citations in this set, centred on microneedle wear-life and insertion-process claims, but its latest-year filing count is flat rather than rising.
Saveetha Engineering College is the only tracked assignee showing activity in the most recent year, though a single filing is not enough to call a trend on its own.
The strongest co-filing links in the dataset run through individual named inventors (Rajna Saha with three separate co-inventors) rather than institution-to-institution partnerships, pointing to early-stage, academically-anchored work.
| Assignee | Recent year | YoY |
|---|---|---|
| SAVEETHA ENG COLLEGE | 1 | — |
| AQUILX INC | 0 | — |
| Royal Philips | 0 | — |
| National University of Singapore | 0 | — |
| Southeast University | 0 | -100% |
| RAJNA SAHA | 0 | -100% |
| NOIDA INST OF ENG & TECH | 0 | -100% |
| DR SANJOY MITRA | 0 | -100% |
The dataset points to specific next steps depending on whether the goal is freedom-to-operate, licensing scouting or a filing strategy of your own.
Start with the highest-citation records in this set before drafting new microneedle or sweat-sensor claims — they mark where prior art is densest.
Explore in EurekaCalibration-free correction and low-power duty-cycling show thin IPC representation relative to A61B — worth monitoring for new entrants before the space fills in.
Explore in EurekaNo assignee currently shows sustained growth; the next filer to post two consecutive up years would be the one to watch.
Explore in EurekaThis dataset identifies 24 patent families published between 2015 and mid-2026 that combine wearable biosensor or sweat-sensor claims with operational constraints such as skin interface, motion artifact, calibration-free operation, power budget or long-term wear. That is a narrow, functionally-defined slice of the broader wearable-sensor patent space, not a count of every wearable health-monitoring patent filed. Because publication lags filing by roughly 18 months, the 2025-2026 figures will rise as more filings publish.
Aquilx Incorporated holds the most-cited family in this dataset, a microneedle-based wearable biosensor focused on wear life and insertion process. No single assignee shows sustained year-on-year filing growth into the most recent year, and the assignee base includes universities and individual inventors alongside corporate filers. Saveetha Engineering College is the only tracked assignee with a filing in the latest year covered.
Every family in this dataset carries an A61B (diagnosis and surgery) classification, meaning sensor mechanics — how the device sits on skin, detects a signal and stays attached — are the most densely claimed area. Material analysis (G01N) and healthcare informatics (G16H) appear far less often, suggesting the data-processing and analytics layer around the sensor is comparatively open. High filing density in A61B means that claim space is occupied, not that the underlying problems are solved.
Based on IPC composition, calibration-free drift correction, motion-artifact filtering, low-power wireless duty-cycling and AI-based signal interpretation are all represented by only one or two families each, against 24 for the core sensor-device classification. These are areas where the practical engineering problem is well documented in the literature but claim coverage in this dataset is thin. A first claim in these areas would likely need to tie a specific correction or duty-cycling method to a measurable wear-time or power outcome to stand apart from the device-layer prior art.
US20240285236A1, assigned to Aquilx Incorporated, is the most-cited family in this dataset and claims a microneedle-based wearable biosensor with extended wear life, reduced warm-up time, a skin-locking insertion mechanism and improved microneedle durability. Anyone designing a similar microneedle-based continuous-monitoring device should review its specific claim language on insertion mechanics and warm-up elimination before finalising a design. Because citation counts in a searched corpus favour older, more-established filings, its high citation count reflects influence within this set rather than a guarantee of current enforcement activity.
Go past this page: query the whole wearable biosensors for continuous health monitoring 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.