https://www.patsnap.com/resources/blog/rd-blog/wearable-biosensors-for-continuous-health-monitoring-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Wearables & Health Monitoring
Wearable Biosensor Patents for Continuous Health Monitoring
  • Filing is still accelerating, not maturing. Annual filings ran from zero in 2017 to a peak of 9 in 2024, with the midpoint year (2022) at just 1 — most of the growth is recent and the most recent year is still undercounted by publication lag.
  • One diagnosis-and-surgery subclass dominates the claim space. All 24 families touch A61B, while material-analysis (G01N) and healthcare informatics (G16H) appear in only a handful — sensor mechanics are contested, data-layer claims are not.
  • No single assignee has filing momentum right now. Every tracked assignee, including recent entrants, shows flat or negative year-on-year movement in the latest year — the field has no clear current leader to design around.
Get a prior-art report on your approach
24
Published Records
+125%
3-Yr Growth (lag-adjusted)
IN
Leading Jurisdiction
12
Active Filers Ranked
Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this dataset covers

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.

Filing activity and technology composition, 2015-2026
  1. 1AQUILX INC9
  2. 2KONINKLIJKE PHILIPS NV5
  3. 3NATIONAL UNIVERSITY OF SINGAPORE4
  4. 4DR PARIJATA MAJUMDAR1
  5. 5AJAY KUMAR GARG ENG COLLEGE1
  6. 6ACROPOLIS INST OF TECH & RES1
  7. 7SAVEETHA ENG COLLEGE1
  8. 8NOIDA INST OF ENG & TECH1
  9. 9RAJNA SAHA1
  10. 10SOUTHEAST UNIV1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Wearable Biosensors for Continuous Health Monitoring 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

Let an AI agent run this analysis on your own technology

Pick a task. Every answer cites the patents behind it.

10,000 free credits to start
The data

Filing trend and technology composition

Two views of the same 24-family dataset: how filing volume has moved year over year, and which IPC subclasses carry the claim weight.

Filing trend, 2017-2026

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.

Filing trend, 2017-20260358100201720182019202020212022202392024202522026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass composition

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.

IPC subclass compositionA61B · Diagnosis & surgery24100.0%G01N · Material analysis & testing625.0%G16H · Healthcare informatics416.7%G06N · Computing based on AI models28.3%A61K · Medicinal preparations14.2%A61M · Devices for body fluids14.2%A61P · Therapeutic activity of compou…14.2%D01F · Chemical filament & fibre feat…14.2%Other312.5%

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%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Wearable Biosensors for Continuous Health Monitoring covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

Go deeper on Wearable Biosensors for Continuous Health Monitoring with Eureka

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 Eureka
Key patents

Most-cited records in this set

Representative filing
US20240285236A12024-08-29

Wearable biosensor device — Aquilx Incorporated (2024-08-29)

AQUILX INCORPORATED

The 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.

US20240285236A1 — patent drawing 1US20240285236A1 — patent drawing 2
View full record
Highest-citation families
#Publication no.Patent titleCitations
1US20240285236A1Wearable biosensor device7
2WO2021107871A1Wearable sweat sensor5
3WO2024148374A1Wearable biosensor device with improved cover and improved for flexibility and conformance3
4US20230012507A1Wearable sweat sensor2
5CN121101553A一种透气型汗液刺激和传感集成系统及其制备方法1
6US12318224B2Wearable biosensor device1

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.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Wearable Biosensors for Continuous Health Monitoring 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
Run it yourself

Put your own technology through the same analysis


  
Where to run it
Fastest

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 →
For builders

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 →
Insights

What the numbers say about where the field stands

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.

Momentum
0 → 9
families/year, 2017-2024

Growth is recent, not gradual

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.

Peak year: 2024 (9 families)
Claim concentration
24 of 24
families touch A61B5

Sensor mechanics, not data services, hold the claim space

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.

G16H: 4 families · G06N: 2 families
Filing geography
India 6, EPO 5, US 5
leading receiving offices

Filing activity is split across three regions with no single dominant office

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.

WIPO (PCT): 4 · Australia 1 · Canada 1
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 wearable biosensors for continuous health monitoring, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Wearable Biosensors for Continuous Health Monitoring 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
Who's filing

Assignee landscape

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.

Corporate
AQUILX INC
most-cited family holder

A focused device specialist, not a diversified filer

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.

0 in latest year
Academic
SAVEETHA ENG COLLEGE
latest-year filer

The one assignee with a 2026 filing

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.

1 in latest year
Co-filing
6 pairs
co-assignee relationships

Collaboration is sparse and individual-led

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.

Strongest pair: 1 co-filed family
🔍
Under-claimed sub-areas worth scouting
Branches with thin IPC representation in this dataset relative to the core A61B claim space.
Calibration-free sensor drift correctionMotion-artifact filtering algorithmsLow-power wireless duty-cycling for sweat sensorsAI-based signal interpretation (G06N overlap)Biodegradable or fibre-based sensor substrates (D01F overlap)
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
SAVEETHA ENG COLLEGE1
AQUILX INC0
Royal Philips0
National University of Singapore0
Southeast University0-100%
RAJNA SAHA0-100%
NOIDA INST OF ENG & TECH0-100%
DR SANJOY MITRA0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Wearable Biosensors for Continuous Health Monitoring 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 analysis

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.

Check freedom-to-operate against the most-cited families

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 Eureka

Track the under-claimed branches

Calibration-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 Eureka

Watch for the next filing-momentum shift

No assignee currently shows sustained growth; the next filer to post two consecutive up years would be the one to watch.

Explore in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Wearable Biosensors for Continuous Health Monitoring 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

Frequently asked questions

Answers are grounded in the same dataset. Derived from a Patsnap search on Wearable Biosensors for Continuous Health Monitoring 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

Research Wearable Biosensors for Continuous Health Monitoring in depth with Eureka

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.

Try Eureka

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.