Sweat-Based Wearable Biochemical Sensing Patents: Who Leads 2026
- Five assignees hold 95.0% of the field. 19 of 20 records in scope sit with the top five ranked assignees, leaving almost no room for a sixth entrant to build a comparable position from scratch.
- Filing has cooled since its 2017 peak. Filings ran 8 in 2017 against 2 at the 2022 midpoint and 1 in the most recent (partial) year — a flat-to-declining trend, not a growing one.
- Every record touches diagnosis and surgery claims. All 20 records carry an A61B classification, while flow-measurement (G01F, 30.0%) and informatics (G16H, 5.0%) claims are comparatively rare.
Top-5 share is the combined record count of the five largest assignees divided by all 20 records in scope (CR5), not by the ranked leaders only.
What the sweat-sensing patent record actually shows
Sweat-based wearable biochemical sensing sits at the intersection of microfluidic sampling, enzyme electrode chemistry and on-body signal processing. The scope here is narrow by design: it captures records that explicitly claim sweat rate correction, dilution correction, calibration-free operation or related sampling controls, rather than every wearable sensor patent in general. That makes the 20 records in scope a working set of the documents that actually address sweat as a variable to be measured and corrected for, not just a substrate to be sensed.
Filing is concentrated both by assignee and by classification. Almost the entire set carries a diagnosis-and-surgery classification, and the leading assignees account for nearly all activity, which means a new entrant is more likely to be designing around a small number of established filings than navigating a crowded, fragmented field.
Filing trend and technology composition
Publication activity peaked early in the coverage window and has not returned to that level; the classification mix shows where claim density sits and where it does not.
A 2017 peak followed by a flat-to-declining trend
Filings ran at 8 in 2017, the peak year across the dataset, fell to 2 by the 2022 midpoint, and stand at 1 in the most recent partial year. Because publication typically lags filing by around 18 months, the last one or two years understate real activity, but the multi-year decline from the 2017 peak predates that lag effect.
Diagnosis claims dominate; flow measurement is the largest secondary class
Every one of the 20 records carries an A61B (diagnosis & surgery) classification. G01F (flow, level & volume measuring) appears on 30.0% of records, G01N (material analysis & testing) on 20.0%, C12Q (enzyme/DNA-based measuring) on 15.0%, A61M (body-fluid devices) on 10.0% and G16H (healthcare informatics) on just 5.0%. Because records can carry multiple classes, these shares sum to more than 100% of the record total.
Shares are the percentage of the 20 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Sweat-Based Wearable Biochemical Sensing with Eureka
This page is one run against one query. Ask Eureka your own question about sweat-based wearable biochemical sensing and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited sweat sensing patents in scope
Wearable sweat sensing systems and methods thereof
The device channels sweat through a capture wick across a biochemical sensor and a downstream wick, with electronic circuitry whose response changes as sweat flows through the wick — a mechanical route to correcting for sweat rate rather than relying on chemistry alone.Filed by GE Precision Healthcare LLC, published 2020-04-09.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20190008448A1 | Sweat electrolyte loss monitoring devices | 40 |
| 2 | EP3364183A1 | Sweat electrolyte loss monitoring devices | 31 |
| 3 | US20200107758A1 | Wearable sweat sensing systems and methods thereof | 17 |
| 4 | WO2017189122A1 | EAB biosensors for detecting sweat analytes | 14 |
| 5 | US20200315503A1 | Sweat rate measurement devices | 12 |
| 6 | WO2018071895A1 | Autonomous sweat electrolyte loss monitoring devices | 12 |
| 7 | CN108451502A | 汗液电解质流失监测装置 | 10 |
| 8 | US20180020967A1 | Sweat sensing devices with excess sweat flow management | 8 |
| 9 | WO2019126188A1 | Sweat rate measurement devices | 3 |
| 10 | US10736565B2 | Sweat electrolyte loss monitoring devices | 3 |
Citation counts reflect the state of a searched corpus and favour older filings; treat them as a signal of influence, not of current commercial relevance.
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. Each row carries its publication number; clicking a row searches Eureka by that number.
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Browse MCP servers →What the numbers mean for a filing decision
Three patterns matter most for anyone deciding where to file next in this space.
The field is already claimed by a small group
19 of the 20 records in scope belong to the five leading ranked assignees, with the sixth assignee holding the remainder. A new filer entering without a licensing or design-around strategy is filing directly against this small group's claim scope.
Activity has cooled since 2017
The peak year for filings was 2017 at 8; by the 2022 midpoint output had fallen to 2, and the most recent (partial) year shows 1. This is a flat-to-declining trend across the coverage window, not an emerging one, even allowing for publication lag understating the last year or two.
Diagnosis claims are universal; informatics claims are scarce
Every record in scope touches A61B (diagnosis & surgery). G01F flow-measurement claims sit on 30.0% of records, but G16H healthcare-informatics claims appear on only 5.0% — the data-handling layer around sweat sensing is comparatively open.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to sweat-based wearable biochemical sensing, with the prior art for and against each one.
Who holds the field, and where the gate sits
The ranked leaders account for the entire dataset between them; a new entrant's practical question is not whether the field is crowded, but which corner of it the leaders have left alone.
A single leader well ahead of the rest
The top-ranked assignee holds 7 of the 20 records in scope, more than any other filer, and its filings anchor the most-cited documents in the dataset.
A thin tail below the leaders
Fifth place in the ranking holds just 1 record, and only six assignees appear in the ranking at all — this is a small, largely settled field rather than a fragmented one.
Momentum has shifted to a new name
In the most recent year, the only recorded filing activity among tracked assignees came from New Horizon College of Engineering, while the historically dominant filers show no activity in that year.
| Assignee | Recent year | YoY |
|---|---|---|
| NEW HORIZON COLLEGE OF ENG | 1 | — |
| Eccrine Systems | 0 | — |
| University of Cincinnati | 0 | — |
| General Electric Co | 0 | — |
Where to take this next
The dataset points to a small set of concrete next steps for teams deciding whether and where to file.
Check freedom to operate against the leader's cited claims
With one assignee holding 7 of 20 records and anchoring the highest-cited filings, any new sweat-rate-correction concept should be checked against that assignee's claim scope before development proceeds.
Run a freedom-to-operate check in EurekaTest a claim in the under-claimed informatics layer
G16H healthcare-informatics claims appear on only 5.0% of records, well below the A61B baseline, suggesting the data-handling and telemetry layer around sweat sensing has more open claim space than the sensing hardware itself.
Draft a claim scope in EurekaCommon questions about sweat-sensing patents
The ranking covers six assignees, and it is heavily concentrated: the leading assignee holds 7 of the 20 records in scope, and the top five assignees together account for 19 records, or 95.0% of the field. This means the practical competitive question is less about crowding and more about how much of the leader's claim territory a new filer would need to design around. Fifth place in the ranking holds only 1 record, showing how thin the field gets below the top few names.
Filing activity peaked in 2017 at 8 records and has since declined, with the midpoint year of 2022 showing only 2 filings and the most recent partial year showing 1. That is a flat-to-declining trend across the coverage window rather than a growing one. Publication typically lags actual filing by around 18 months, so the very last year or two will always look thinner than they eventually turn out to be, but the multi-year decline from the 2017 peak is not explained by lag alone.
Every one of the 20 records in scope carries an A61B classification (diagnosis and surgery), making it the universal category for this dataset. Beyond that baseline, G01F (flow, level and volume measuring) appears on 30.0% of records, G01N (material analysis and testing) on 20.0%, C12Q (enzyme- and DNA-based measuring) on 15.0%, A61M (body-fluid devices) on 10.0%, and G16H (healthcare informatics) on just 5.0%. Because a single record can carry multiple classifications, these percentages add up to more than 100% of the record total, which is expected.
US20200107758A1, assigned to GE Precision Healthcare LLC and published 2020-04-09, describes a wearable sweat patch built around a capture wick that channels sweat through a defined hole in a substrate, across a biochemical sensor, and into a downstream wick separated by a gap, with electronic circuitry that changes its response as sweat flows through that downstream wick. The mechanical wick-and-gap arrangement is itself the sweat-rate-correction mechanism, rather than relying purely on chemical calibration. Anyone designing a similar capture-wick-to-sensor flow path in a sweat patch should review this filing's claim boundaries directly rather than relying on the abstract alone.
The clearest under-claimed area by classification is healthcare informatics (G16H), present on only 5.0% of the 20 records in scope, compared with the near-universal A61B baseline. That suggests the layer connecting a sweat sensor's raw signal to a data platform or clinical workflow is comparatively open, even though the underlying sensing hardware is well covered. Calibration-free enzyme drift compensation and multi-analyte dilution correction also show thinner coverage relative to the core sensing and flow-measurement classes, making them worth a closer freedom-to-operate look before committing to a specific claim direction.
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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.