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Proceeding Paper

A Patent Landscape Analysis of Textile Sensors for Muscular Activity Sensing of Stimulation †

by
Massimo Barbieri
1,* and
Giuseppe Andreoni
2,3
1
Technology Transfer Office (TTO), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
2
Dipartimento di Design, Politecnico di Milano, Via Durando 10, 20158 Milano, Italy
3
Bioengineering Laboratory, Scientific Institute IRCCS E. Medea, 23842 Bosisio Parini, Italy
*
Author to whom correspondence should be addressed.
Presented at the 12th International Electronic Conference on Sensors and Applications, 12–14 November 2025; Available online: https://sciforum.net/event/ECSA-12.
Eng. Proc. 2025, 118(1), 78; https://doi.org/10.3390/ECSA-12-26559
Published: 7 November 2025

Abstract

In the era of smart garments, textile electrodes for electromyography (EMG) or functional electric stimulation (FES) represent a very interesting and promising area of development and exploitation. In this frame, we conducted a patent landscape analysis of textile solution for EMG sensing and FES actuation, using Espacenet as a reference database and Orbit Intelligent platform as a data analysis tool. The landscape analysis focused on the following aspects: filing trends, top applicants in this domain, main publication countries, forward citations, and collaborations between applicants. Following the screening process, a total of 97 patent families were subjected to subsequent analysis. China and the United States account for the majority of patents. The main applicants by volume of the topics studied are universities or research public entities.

1. Introduction

Muscular activity is correlated with every human movement and is thus very relevant in different contexts: gesture analysis, sport performance, clinical evaluation and rehabilitation, ergonomics and occupational biomechanics, and fitness and body sculpturing.
Muscles provide an electrical signal when contracting (EMG), and contract when electrically stimulated (FES): in the first case, we record a surface electrical signal whose amplitude and frequency content is related to force and fiber involvement; in the second situation, we can produce an electrical stimulation to produce muscle contraction.
In both cases, a pair of surface electrodes are placed onto the skin in correspondence with the muscle of interest. These electrodes have similarities with ECG ones but have several differences in shape, dimensions and technical specifications for diverse applications, signal features and body positioning.
In the era of smart garments, textile electrodes for EMG or FES represent a very interesting and promising area of development and exploitation.
The development of textile-based electrodes in the late 1980s represented a substantial advancement in the domain of electromyography.
The utilization of textile-based sEMG sensors offers distinct advantages, including enhanced wearability, prolonged monitoring duration, and seamless integration into routine activities. These sensors possess an inherent flexibility and robust manufacturability, which facilitates their application in various contexts. Improved contact stability represents a notable benefit of textile sensors. These devices frequently encompass a greater surface area, thereby ensuring more uniform distribution of pressure and maintaining stable contact with the skin [1].
EMG sensors can be classified in several ways, including electrode placement, type of contact, and resolution perspective. Conductive polymers, including polypyrrole (PPy), polyaniline (PANI), and poly(3,4-ethylenedioxythiophene) (PEDOT), are used in textile sensors, as well as conductive yarns and nonwoven conductive materials, such as graphene, graphene oxide (GO), reduced graphene oxide (RGO), and metallic elements, including gold and silver.
In this frame, we conducted a patent landscape analysis of textile solutions for EMG sensing and FES actuation.

2. Materials and Methods

The database employed for the retrieval of patent information was Espacenet (provided by the European Patent office), a resource that is characterized by its ease of use and its capacity to support the execution of multiple queries through the utilization of the “Smart search” window. A notable feature of Espacenet is its coverage of published patent applications and granted patents from over 100 patent-granting authorities. Moreover, Espacenet offers access to a comprehensive collection of patent information, encompassing over 150 million documents from 1782 to the present [2,3] (page 2).
In order to generate a comprehensive and exhaustive dataset for subsequent analysis, a combined classification- and keyword-based approach was utilized, incorporating IPC and CPC codes, as well as precise keywords. The International Patent Classification (IPC) and Cooperative Patent Classification (CPC) symbols were employed in conjunction with a search term (textile sensor, textile sensing, textile electrode, electromyography, electromyogram, EMG, functional electric stimulation, FES) in the title, abstract, and claim (TAC) fields. Keywords were combined using the AND Boolean operator along with IPC/CPC symbols and via proximity operators between them.
The main classification symbols used are listed in Table 1.
The final query formulated for the purpose of obtaining patent information can be found in Appendix A.
The results were grouped into patent families, with a priority number in common.
A comparison of Espacenet and fee-based sources reveals that Espacenet lacks the extensive array of analytical and data processing functionalities offered by its fee-based counterparts. The statistical overview in Espacenet is constrained to a limited number of fields, including countries, ICP or CPC subgroups, applicants, and inventors. Therefore, the dataset obtained through Espacenet has been transferred to Orbit Patent Intelligence by Questel v2.0.0.
Orbit was employed in addition to Espacenet on account of its comprehensive analysis tools, particularly for conducting searches within the technological domains and concept clusters.
The screening process was conducted manually to ensure the exclusion of patents that, while potentially related to keywords, did not fall within the scope of the present subject matter.

3. Results and Discussion

In the present study, a total of 160 patent families were retrieved.
A preliminary evaluation on Espacenet was conducted by implementing a filter that was designated as “earliest priority date,” which was applied to the subset of families that had been filed within the timeframe spanning from 1 January 2014 to 31 December 2023. This initial screening process yielded a total of 124 patent families.
Patent families with IPC/CPC subgroups {A61B5/291—bioelectric electrodes for electroencephalography [EEG]} were excluded from the analysis, as they were outside the scope of the present study.
The selected 103 patent families were imported into Orbit Patent Intelligence and subsequently analyzed. The screening process was conducted manually to ensure the exclusion of patents that, while potentially related to keywords, do not fall within the scope of the present subject matter. Six patent families were excluded from the study because they were deemed to be irrelevant. The final landscape analysis was conducted on a sample of 97 patent families.
The legal status of the retrieved patent documents is outlined below: 41% of the patent applications have been granted, 27% are pending, and 32% are no longer active. Among these, 15% have lapsed, 15% have been revoked, and 2% have expired.
China and the United States account for the majority of patents, placing them in the first and second positions, respectively, as shown in Figure 1.
A total of 48 filings were submitted in China, including 7 pending applications, 21 granted patents, and 20 rejected or abandoned applications. In comparison, in the United States 24 filings were submitted, comprising 10 pending applications, 9 granted patents, and only 5 rejected or abandoned applications. From the perspective of patents that are currently active, the discrepancy in distance between China and the USA is less pronounced. South Korea is in third place, with eight filings (four pending, two granted, and two rejected or abandoned).
The graph obtained from the first application year (Figure 2) displays four peaks, indicating the periods during which the majority of applications were submitted. The number of applications received in 2016 was 15; in 2020 it was 14; in 2022 it was 18; and in 2023 it was 17. Data regarding subsequent years is incomplete, as patent applications are typically kept confidential for 18 months following the filing date. The data are segmented according to the primary IPC/CPC codes employed in the patent search.
As demonstrated in Figure 3, the majority of the top applicants per number of filed patents or patent applications are universities or research public entities. The Shenzhen Institute of Advanced Technology has been designated as the leading institution in this field, with a total of six patent families, of which one is pending, three have been granted, and three have been rejected. According to the most recent data available, OYMotion Technologies Co., Ltd. (high-tech startup in Shanghai, China) is the second-leading entity in terms of granted patents, with a total of two patents granted to the company. In addition, OYMotion Technologies has one patent that has been rejected or abandoned. A third-place ranking is shared by three entities: Shenzhen Runyi Taiyi Technology Co., Ltd. (headquartered in China Guangdong Province), Taiwan Research Institute, and South China University of Technology, each of which possesses three patent families.
Collaboration among patent assignees is limited. Figure 4 shows a co-ownership graph of patents, in which four pairs of actors from Italy and China are represented.
As illustrated in Figure 5, the retrieved patents/patent applications have been classified according to their technical nature.
A total of 89 patents are classified within the domain of medical technology, constituting the highest number of patents in the field and thus occupying the preeminent position in the search strategy’s technical areas. It is important to acknowledge that each patent may be classified across multiple technical domains.
The graph of Figure 6 illustrates the distribution of the main concepts derived from the retrieved patent documents. A total of nine clusters have been identified: wireless communication (64 documents), clothing (80), EMG (52), conductive yarn (57), exercise (41), fabric electrodes (62), biosignals (47), power supply modules (32), and electrodes (8).
As illustrated in Figure 7, the most frequently cited patents and patent applications were identified to originate from China.
A closer look at the top ten cited patent list reveals that only two patents (patents No. CN103948388B and CN111722709B) received two forward citations, while the remaining patents received only one. The top ten cited patents are all from China and have not been extended to foreign countries. The final two documents in the aforementioned list are utility models.
Patent No. CN103948388B [4], which is currently assigned to Shenzhen Institute of Advanced Technology and was filed on 23 April 2024, has now been granted. The invention discloses an electromyography device that comprises an elastic substrate, an outer electrode (which is connected to the myoelectric monitoring apparatus), an inner electrode, and an electrode pin.
Patent No. CN111722709B [5], which is assigned to South China University of Technology, was filed in 2020 and granted. The subject matter of this patent is a virtual force feedback interaction system based on electromyography (EMG) evaluation. The system is characterized by the following components: electrode sensors, an initial parameter generation unit, an EMG signal acquisition module, an electrical stimulation module, a time division multiplexing module, and an EMG signal-force regression model processing unit.
A geographic analysis of the applications revealed that a significant number of them did not demonstrate an international scope of protection, as evidenced by the absence of multiple extensions abroad. As illustrated in Table 2, the patent families that are enumerated are those which contain a minimum of three components.
Patent application n. EP4188525A1 [6] (Battelle Memorial Institute) discloses a device for performing functional electrical stimulation (FES) and/or neuromuscular electrical stimulation (NMES) and for receiving electromyography (EMG) signals. The device consists of a sleeve and electrodes. The sleeve is sized and shaped to fit a human arm and is made of stretchable fabric.
Patent application n. EP4482389A1 [7] (Meta Platforms Tech LLC) describes a wearable glove device that includes conductive, deformable fabric and one or more garment-integrated sensors, including an EMG sensor.
Patent application EP3963006A1 [8] (in co-ownership with the University of Bologna and Cagliari) describes a conductive polymeric composition that includes PEDOT and one or more ionic liquids. This composition is used to produce electrodes that record electrophysiological signals, such as electrocardiograms (ECGs), electromyograms (EMGs), and electroencephalograms (EEGs).
In patent application EP22790253A1 [9] (ETA Bioengineering Srl) a process for making an electromyographic garment that can quantify muscle activity in terms of electrical potential difference in a precise and personalized manner is described. In particular, it allows for the evaluation of muscle activity in individual muscles with limited cross-talk phenomena with adjacent muscles. The electromyography (EMG) electrode device is a textile electrode.
The invention described in EP3273852A1 [10] (REPONO PTY LTD, an Australian company) provides a system for monitoring the muscle activity of a biological subject with a plurality of sensors.
According to the above analysis, even though the patent landscape shows a relevant presence of records, there are still several aspects that could open new perspectives. In particular, future directions in patenting innovative solutions of EMG/FES textile electrodes could be addressed to specific shapes, dimensions and thicknesses to improve sensing or current delivery to the patient (actual solutions still shows some limits) and in new materials or their coupling to improve the previous technical limitation of patient comfort.

4. Conclusions

The present study demonstrates that patent filings, as an indication of innovative activity in the domain of textile EMG sensors, have exhibited a relatively stable trend over the past decade. The majority of innovation is taking place within academic and research centers.
China holds the top position in terms of the number of applications that have been submitted, despite the fact that approximately 42% of them were either rejected by the patent office or abandoned. The majority of Chinese applications are filed domestically, with minimal expansion into international markets. Moreover, Chinese applications have been identified as the top ten cited patent families.
The minimal number of forward citations (two at the most) may be attributable to the fact that those applications were submitted from 2020 onward.

Author Contributions

Conceptualization, methodology, formal analysis, data curation, writing—original draft preparation: M.B.; writing—original draft preparation, writing—review and editing, supervision: G.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
IPCInternational Patent Classification
CPCCooperative Patent Classification
EMGElectromyography
FESFunctional Electric Stimulation

Appendix A

The following query was employed in Espacenet to retrieve patent-related information:
(ftxt = “functional electrical stimulation” OR ctxt any “electromyography” OR ctxt any “EMG” OR ctxt any “electromyogram” OR cl any “A61B5/296” OR cl any “A61B5/389” OR cl any “A61B5/313” OR cl any “A61B5/395”) AND (ctxt=(“textile” prox/distance<2 “sensing”) OR ctxt=(“textile” prox/distance<2 “sensor?”) OR ctxt=(“textile” prox/distance<2 “electrode?”) OR ctxt=(“fabric” prox/distance<2 “sensor?”) OR ctxt=(“fabric “ prox/distance<2 “sensing”) OR ctxt=(“fabric” prox/distance<2 “electrode?”))

References

  1. Medagedara, M.H.; Ranasinghe, A.; Lalitharatne, T.D.; Gopura, R.A.R.C.; Nandasiri, G.K. Advancements in Textile-Based sEMG Sensors for Muscle Fatigue Detection: A Journey from Material Evolution to Technological Integration. ACS Sens. 2024, 9, 4380–4401. [Google Scholar] [CrossRef] [PubMed]
  2. Barbieri, M.; Andreoni, G. Textile Pressure Sensors: Innovations and Intellectual Property Landscape. Eng. Proc. 2024, 82, 37. [Google Scholar] [CrossRef]
  3. Barbieri, M.; Andreoni, G. Carbon Allotrope-Based Textile Biosensors: A Patent Landscape Analysis. Eng. Proc. 2023, 58, 107. [Google Scholar] [CrossRef]
  4. Zhang, H.; Kuang, X.; Zhou, H.; Li, G. Myoelectricity Collecting Device. Chinese Patent No. CN103948388B, 30 October 2018. Available online: https://worldwide.espacenet.com/publicationDetails/biblio?CC=CN&NR=103948388B&KC=B&FT=D&ND=4&date=20181030&DB=&locale=en_EP (accessed on 7 August 2025).
  5. Shu, L.; Xie, C.; Xu, X.; Zhu, Q. Virtual Force Feedback Interaction System and Method Based on Myoelectricity Evaluation. China Patent No. CN111722709B, 19 November 2021. Available online: https://worldwide.espacenet.com/publicationDetails/biblio?CC=CN&NR=111722709B&KC=B&FT=D&ND=4&date=20211119&DB=&locale=en_EP (accessed on 7 August 2025).
  6. Blum, T.M.; Branch, J.; Colachis, S.; Noonan, A.I.; Bartholomew, J.E.; Annetta, N.; Davis, Y. Stretchable Fabric Sleeve for Functional Electrical Stimulation and/or Electromyography. European Patent Application No. EP20210751922, 7 June 2023. Available online: https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20230607&CC=EP&NR=4188525A1&KC=A1 (accessed on 7 August 2025).
  7. Berglund, M.E.M.; Uzun, S.; Dealey, S.W.; Baines, S.J.; Stoltzfus, A.L.; Warila, R.L.; Miller, P.; Doughty, C.B.; Resneck, L.; Cagen, K.; et al. Techniques for Incorporating Stretchable Conductive Textile Traces and Textile-Based Sensors into Knit Structures. European Patent Application No. EP20230713477, 1 January 2025. Available online: https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20250101&CC=EP&NR=4482389A1&KC=A1 (accessed on 7 August 2025).
  8. Scavetta, E.; Gualandi, I.; Fraboni, B.; Tessarolo, M.; Bonfiglio, A.; Pani, D.; Sulas, E.; Usai, G.A. Conductive Polymeric Composition and Method for Preparing the Conductive Polymeric Composition. European Patent Application No. EP20200742442, 9 March 2022. Available online: https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20220309&CC=EP&NR=3963006A1&KC=A1 (accessed on 7 August 2025).
  9. Caporaso, T.; Grazioso, S.; Palomba, A.; Panariello, D.; Grazioso, A.; Caporaso, M.; Di Gironimo, G.; Lanzotti, A. Process for Manufacturing a Garment for the Acquisition of Electromyographic Signals. European Patent Application No. 20220790253, 24 July 2024. Available online: https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20240724&CC=EP&NR=4401619A1&KC=A1 (accessed on 7 August 2025).
  10. Dodemont, N. Muscle Activity Monitoring. European Patent Application No. EP20160767528, 31 January 2018. Available online: https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20180131&CC=EP&NR=3273852A1&KC=A1 (accessed on 7 August 2025).
Figure 1. List of top ten priority countries.
Figure 1. List of top ten priority countries.
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Figure 2. Number of filed patent applications per year.
Figure 2. Number of filed patent applications per year.
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Figure 3. Top ten applicants with the largest number of patent families filed in EMG sensing and FES actuation.
Figure 3. Top ten applicants with the largest number of patent families filed in EMG sensing and FES actuation.
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Figure 4. Assignee collaborations. This graph allows the identification of relationships between applicants on a specific topic.
Figure 4. Assignee collaborations. This graph allows the identification of relationships between applicants on a specific topic.
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Figure 5. The present visualization has been developed on the basis of the IPC symbols contained in the patent set that was analyzed, and it represents a useful tool for identifying patents in a specific domain and in a field, which may have multiple uses.
Figure 5. The present visualization has been developed on the basis of the IPC symbols contained in the patent set that was analyzed, and it represents a useful tool for identifying patents in a specific domain and in a field, which may have multiple uses.
Engproc 118 00078 g005
Figure 6. This graph provides the most-used concepts in EMG sensing and FES actuation patent sets.
Figure 6. This graph provides the most-used concepts in EMG sensing and FES actuation patent sets.
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Figure 7. Top ten cited patent families. The following graph presents a list of the applications that have received the most forward citations.
Figure 7. Top ten cited patent families. The following graph presents a list of the applications that have received the most forward citations.
Engproc 118 00078 g007
Table 1. List of the principal IPC/CPC symbols retrieved.
Table 1. List of the principal IPC/CPC symbols retrieved.
IPC/CPC SymbolDefinition
A61B5/296Electrodes for electromyography
A61B5/389Diagnostic methods for electromyography
A61B5/313Input circuits for electromyography
A61B5/395Details of stimulation, e.g., nerve stimulation to elicit EMG response
Table 2. List of inventions extended in at least three national or regional phases.
Table 2. List of inventions extended in at least three national or regional phases.
Publication NumberTitleGeographic Scope of Protection
EP4188525A1Stretchable fabric sleeve for functional electrical stimulation and/or electromyographyEurope, Australia, Israel, USA, Brazil
EP4482389A1Techniques for incorporating stretchable conductive textile traces and textile-based sensors into knit structuresUSA, Europe, Taiwan, China
EP20742442A1Conductive polymeric composition and method for preparing the conductive polymeric compositionItaly, USA, Canada, Europe
EP22790253A1Process for manufacturing a garment for the acquisition of electromyographic signalsUSA, Australia, Europe
EP3273852A1Muscle activity monitoringUSA, Australia, Europe
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MDPI and ACS Style

Barbieri, M.; Andreoni, G. A Patent Landscape Analysis of Textile Sensors for Muscular Activity Sensing of Stimulation. Eng. Proc. 2025, 118, 78. https://doi.org/10.3390/ECSA-12-26559

AMA Style

Barbieri M, Andreoni G. A Patent Landscape Analysis of Textile Sensors for Muscular Activity Sensing of Stimulation. Engineering Proceedings. 2025; 118(1):78. https://doi.org/10.3390/ECSA-12-26559

Chicago/Turabian Style

Barbieri, Massimo, and Giuseppe Andreoni. 2025. "A Patent Landscape Analysis of Textile Sensors for Muscular Activity Sensing of Stimulation" Engineering Proceedings 118, no. 1: 78. https://doi.org/10.3390/ECSA-12-26559

APA Style

Barbieri, M., & Andreoni, G. (2025). A Patent Landscape Analysis of Textile Sensors for Muscular Activity Sensing of Stimulation. Engineering Proceedings, 118(1), 78. https://doi.org/10.3390/ECSA-12-26559

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