Wearable-Sensoren

Bringen Sie Ihre
Wearable-Anwendung
auf das nächste Level
mit SoftPulse®

Weiche Trockenelektroden ermöglichen eine einfache, komfortable und langfristige
Erfassung von Biosignalen wie EEG, ECG, EMG und EOG – sowohl für
Consumer- als auch für medizinische Anwendungen. Dank der niedrigen
Impedanz und der trockenen Anwendung eignen sich SoftPulse® optimal
für den Einsatz am Kopf, am Körper und im Ohr.

EEG

Hirnsignale

EKG

Herzaktivität

EMG

Skelettmuskeln

EOG

Augenbewegung

Nächste Veranstaltungen

prev
next
MD&M Midwest 2026
Messe | 28.10.2026 – 29.10.2026

MD&M Midwest

location-icon Minneapolis, MN, USA
Medica 2026
Messe | 16.11.2026 – 19.11.2026

Medica

location-icon Düsseldorf, Deutschland

Vorteile der Technologie

  • Weiches und robustes Material
    Dank einzigartiger Materialeigenschaften sind SoftPulse® sowohl komfortabel als auch robust und eignen sich damit für das langfristige Tragen.
  • Bereit für den direkten Hautkontakt
    SoftPulse® wurden für die trockene, gelfreie Anwendung entwickelt und tragen dazu bei, Hautreizungen und unangenehmen Tragekomfort zu vermeiden.
  • Verschiedene Standarddesigns
    Mehrere SoftPulse® Designs als Bürsten- oder Flachelektroden sind standardmässig verfügbar und ermöglichen eine schnelle Belieferung unserer Kunden.
  • Hervorragende Leistung
    Eine hohe Signalqualität, eine kurze Einstellzeit und eine hervorragende Stabilität sind einige der wichtigsten Vorteile von SoftPulse®.
  • Skalierbar auf kommerzielle Stückzahlen
    Unsere Produktionsprozesse sind auf eine schnelle Skalierung ausgelegt, sodass auch grosse Stückzahlen innerhalb kurzer Zeit bereitgestellt werden können.
  • Individuell an Ihre Anforderungen anpassbar
    SoftPulse® lassen sich einfach kundenspezifisch anpassen, was die Integration in Geräte wie Headsets, Armbänder, Brillen und Hörgeräte ermöglicht.

Neuigkeiten

SoftPulse® electrodes to support OpenEarable biosensig platform in real-world sleep study
Article | 20.02.2026

Datwyler’s Venture Unit Wearable Sensors is supporting cutting-edge neurotechnology research by providing high-quality in-ear electrodes to KIT for use with the OpenEarable ExG platform.

SoftPulse Turn Insights into Solutions
Fachartikel | 18.09.2025

Wearables have become a major driver of innovation in personalized healthcare. In particular, neurotechnology is opening up entirely new possibilities – from brain-computer interfaces to mental health monitoring and neurofeedback. A central element of these systems are electrodes, which form the interface between the human body and electronic components.

SoftPulse® electrodes to support OpenEarable biosensig platform in real-world sleep study
Article | 20.02.2026

Datwyler’s Venture Unit Wearable Sensors is supporting cutting-edge neurotechnology research by providing high-quality in-ear electrodes to KIT for use with the OpenEarable ExG platform.

SoftPulse Turn Insights into Solutions
Fachartikel | 18.09.2025

Wearables have become a major driver of innovation in personalized healthcare. In particular, neurotechnology is opening up entirely new possibilities – from brain-computer interfaces to mental health monitoring and neurofeedback. A central element of these systems are electrodes, which form the interface between the human body and electronic components.

Anwendungsbeispiele

Märkte und Anwendungen

Dank der Kombination aus hoher Leistungsfähigkeit, Komfort, kundenspezifischer Anpassbarkeit und einfacher Integration können SoftPulse® in unterschiedlichsten Wearables und für eine Vielzahl von Anwendungen eingesetzt werden.

Gaming

Nutzen Sie aktives Biofeedback für ein noch intensiveres Nutzererlebnis.

Industrie

Aktives Feedback und verbesserte Mensch-Maschine-Schnittstellen ermöglichen einen effizienteren und sichereren Arbeitsplatz.

  • Verbessertes Nutzererlebnis

    Passen Sie das Gaming-Erlebnis mithilfe von Biofeedback in Echtzeit an

  • Brain-Computer Interface

    Nutzen Sie Gehirnsignale zur Steuerung von Geräten und Anwendungen

  • Freihändige Interaktion

    Erfassen Sie biologische Aktivität für eine gestenbasierte Steuerung

Lifestyle

Erweitern Sie die Möglichkeiten von Wearables durch die Integration der Biosignalerfassung.

  • Freihändige Kommunikation

    Steigern Sie die Effizienz durch alternative, körperbasierte Steuerungsmöglichkeiten

  • Fernsteuerung

    Nutzen Sie Mensch-Maschine-Schnittstellen für den Zugriff auf entfernte Geräte

  • Erkennung von Ermüdung

    Objektives Echtzeit-Feedback unterstützt einen sichereren Arbeitsplatz

Medizin

Unterstützung des wachsenden Markts für Wearables zur Fernüberwachung von Patienten.

  • Metaverse

    Verbessern Sie das Erlebnis im Metaverse durch Biofeedback in Echtzeit

  • Selbstwahrnehmung

    Nutzen Sie Echtzeit-Feedback für ein besseres Verständnis Ihrer Gesundheit

  • Nahtlose Integration

    Erweitern Sie Wearable-Geräte um die Erfassung von Biosignalen

Sport

Verbessern Sie Ihre Tracking-Möglichkeiten für mehr Sicherheit und Leistungsfähigkeit.

  • Früherkennung von Erkrankungen

    Komfortables und einfaches medizinisches Monitoring zur Früherkennung degenerativer Erkrankungen

  • Remote Patient Monitoring

    Bleiben Sie verbunden und ermöglichen Sie eine unkomplizierte Fernüberwachung

  • Kontinuierliche Überwachung von Vitalparametern

    Nahtlose und präzise Überwachung für eine proaktive Gesundheitsversorgung

  • Leistungssteigerung

    Erfassen Sie objektive Parameter, um die sportliche Leistung gezielt zu verbessern

  • Erkennung des Stresslevels

    Analysieren Sie die Reaktion des Körpers auf das Training, um die Leistung zu optimieren und Belastungen besser zu steuern

  • Erkennung von Gehirnerschütterungen

    Erkennen Sie traumatische Ereignisse in Echtzeit, um langfristige Risiken zu reduzieren

Bringen Sie Ihr Wearable mit SoftPulse® auf das nächste Level

Unsere Kunden

Technologieinnovatoren
im Bio-Monitoring

Immer mehr etablierte Unternehmen und innovative Start-ups integrieren die SoftPulse®-Technologie in ihre Produkte.

Unsere Partner

Globales Netzwerk führender Technologiepartner

Wir arbeiten eng mit führenden Experten, Forschungseinrichtungen sowie sorgfältig ausgewählten Start-ups aus aller Welt zusammen, um unsere wissenschaftliche und wirtschaftliche Kompetenz kontinuierlich weiterzuentwickeln.

Kontakt

Möchten Sie mehr über SoftPulse®, unsere Dienstleistungen und unsere
Unterstützungsmöglichkeiten erfahren? Nehmen Sie Kontakt mit uns auf.

Wissenschaftliche Publikationen

Die folgenden wissenschaftlichen Publikationen bieten zusätzliche Informationen für Leserinnen und Leser, die sich vertieft mit der SoftPulse®-Technologie beschäftigen möchten. Erhalten Sie Einblicke in den wissenschaftlichen Hintergrund sowie verwandte Themen.

Comb-shaped polymer-based dry electrodes for EEG/ECG measurements with high user comfort

Y. H. Chen; M. Op de Beeck; L. Vanderheyden; V. Mihajlovic; B. Grundlehner; C. Van Hoof (2013). Comb-shaped polymer-based dry electrodes for EEG/ECG measurements with high user comfort. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Soft conductive polymer dry electrodes for high-quality and comfortable ECG/EEG measurements

Y. H. Chen, M. Op de Beeck, L. Vanderheyden, K. Vanstreels, H. Vandormael, C. Van Hoof (2014). Soft conductive polymer dry electrodes for high-quality and comfortable ECG/EEG measurements. In Advances in Science and Technology 96 (2014), 102-107.

Soft, Comfortable Polymer Dry Electrodes for High Quality ECG and EEG Recording

Y. H. Chen, M. Op de Beeck, L. Vanderheyden, E. Carrette, V. Mihajlović, K. Vanstreels, B. Grundlehner, S. Gadeyne, P. Boon, C. Van Hoof (2014). Soft, Comfortable Polymer Dry Electrodes for High Quality ECG and EEG Recording. In Sensors.

Polymer-based Dry Electrodes for Biopotential Measurements

Chen, Yun-Hsuan (2016). Polymer-based Dry Electrodes for Biopotential Measurements.

A digital health age – how to take on the challenges of this advancing field

N. Haberland (2017). A digital health age – how to take on the challenges of this advancing field. In EPM Magazine.

Wearable eye-tracking

IMEC (2018). Wearable eye-tracking. In IMEC website.

Neue Lösung für trockene EEG-Elektroden

S. Ramser (2018). Neue Lösung für trockene EEG-Elektroden. In Medizin & Technik.

Merging EEG and VR in one headset

IMEC (2018). Merging EEG and VR in one headset. In IMEC website.

Datwyler’s interests in the field of wearable technology in the healthcare sector

N. Haberland (2018). Datwyler’s interests in the field of wearable technology in the healthcare sector. In OnDrugDelivery.

Comparison of dry electrodes for mobile EEG system

M. Koctúrová, J. Juhár (2019). Comparison of dry electrodes for mobile EEG system.

Assessment of the reliability of a novel device for measuring relative transverse abdominal muscle contraction compared to ultrasound and palpation in an asymptomatic population – An exploratory study

C. Pautard, C. Jouanneau, A.-G. Servel, S. Cosqueric, M. Bessette, Y. Le Faou, P. Hardouin (2020). Assessment of the reliability of a novel device for measuring relative transverse abdominal muscle contraction compared to ultrasound and palpation in an asymptomatic population – An exploratory study. In Kinésithérapie, la Revue.

Amorepacific Uses Imec EEG Headsets For Neuromarketing Research

G. Kwon, N. Shahriari (2021). Amorepacific Uses Imec EEG Headsets For Neuromarketing Research. In Silicon Semiconductors.

Riding the Waves – Five considerations for electrode design to maximize performance, comfort, and durability of wearables

S. Sevens (2021). Riding the Waves – Five considerations for electrode design to maximize performance, comfort, and durability of wearables. In mddionline.

Revolutionary monitoring at home

T. Schmierer (2021). Revolutionary monitoring at home. In NS Medical devices.

Motion Artifact Removal Techniques for Wearable EEG and PPG Sensor Systems

Dongyeol Seok, Sanghyun Lee, Minjae Kim, Jaeouk Cho and Chul Kim (2021). Motion Artifact Removal Techniques for Wearable EEG and PPG Sensor Systems. In Frontiers in Electronics.

Propuesta de optimización de un sistema de Interfaz Cerebro-Computadora, utilizando potenciales evocados

Agustina Helguera Héctor Andrés Costa (2021). Propuesta de optimización de un sistema de Interfaz Cerebro-Computadora, utilizando potenciales evocados.

EEG patterns of COVID-19 in frequency, time and spatial domains

Darya Vorontsova, Ivan Menshikov, Marina Isaeva, Aleksandr Zubov, Alexandra Bernadotte (2022). EEG patterns of COVID-19 in frequency, time and spatial domains.

Optimization of the Brain Command Dictionary in Silent Speech Recognition Task Based on Statistical Proximity Criterion

Alexandra Bernadotte, Alexandr Mazurin (2022). Optimization of the Brain Command Dictionary in Silent Speech Recognition Task Based on Statistical Proximity Criterion.

Eavesdropping on the brain at sea: development of a surface‑mounted system to detect weak electrophysiological signals from wild animals

Jessica M. Kendall‑Bar , Ritika Mukherji, Jordan Nichols, Catherine Lopez, Daniel A. Lozano, Julie K. Pitman, Rachel R. Holser, Roxanne S. Beltran, Matt Schalles, Cara L. Field, Shawn P. Johnson, Alexei L. Vyssotski, Daniel P. Costa and Terrie M. Williams (2022). Eavesdropping on the brain at sea: development of a surface‑mounted system to detect weak electrophysiological signals from wild animals. In Animal Biotelemetry.

Feasibility of wireless cardiorespiratory monitoring with dry electrodes incorporated in a belt in preterm infants

A. W. J. Scholten, R. W. van Leuteren, C. G. de Waal, F. H. de Jongh, A. H. van Kaam, G. J. Hutten (2022). Feasibility of wireless cardiorespiratory monitoring with dry electrodes incorporated in a belt in preterm infants. In Physiological Measurement.

Sleeping while diving – tools to detect, analyze and visualuze sleep in wild seals

Jessica M. Kendall-Bar (2022). Sleeping while diving – tools to detect, analyze and visualuze sleep in wild seals.

Evaluación y validación de control mioeléctrico en un entorno virtual de robótica asistencial

Cristina Polo Hortigüela Andrés Úbeda Castellanos (2022). Evaluación y validación de control mioeléctrico en un entorno virtual de robótica asistencial.

SoftPulse – Soft dry electrodes for biomonitoring

Mattia A. Lucchini (2022). SoftPulse – Soft dry electrodes for biomonitoring.

Towards multi-channel EEG “in the wild”: Exploring a new wearable 8-channel system based on cooperative sensor technology

João Forjaco Jorge (2022). Towards multi-channel EEG “in the wild”: Exploring a new wearable 8-channel system based on cooperative sensor technology. In BMT 2022 conference.

A Wireless System for EEG Acquisition and Processing in an Earbud Form Factor with 600 Hours Battery Lifetime

M. Guermandi, A. Cossettini, S. Benatti, L. Benini (2022). A Wireless System for EEG Acquisition and Processing in an Earbud Form Factor with 600 Hours Battery Lifetime. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Wearable biosensor-based stress detection to understand and improve the quality of interactions between humans and construction and built environments

Lee, G. (2022). Wearable biosensor-based stress detection to understand and improve the quality of interactions between humans and construction and built environments. In Doctoral Dissertation.

Detection of mental stress from EEG data using artificial intelligence

Marthinsen, A. J. (2022). Detection of mental stress from EEG data using artificial intelligence. In Thesis.

Real-Time Navigation in Google Street View® Using a Motor Imagery-Based BCI

Yang, L., & Van Hulle, M. M. (2022). Real-Time Navigation in Google Street View® Using a Motor Imagery-Based BCI. In Sensors.

Enhancing motor imagery detection efficacy using multisensory virtual reality priming

Reza Amini Gougeh, Tiago H. Falk (2023). Enhancing motor imagery detection efficacy using multisensory virtual reality priming. In Frontiers in Neuroergonomics.

Compact Long-term 8-channel Electroencephalography with High Functional Sensitivity using Cooperative-sensor Technology with Dry Electrodes

G. Yilmaz, M. Rapin, C. Sainz Martínez, R. Soltani, M. Crettaz, R. Delgado-Gonzalo, M. Lemay, O. Chételat, K. A. Schindler, J. Jorge (2023). Compact Long-term 8-channel Electroencephalography with High Functional Sensitivity using Cooperative-sensor Technology with Dry Electrodes. In CSEM Scientific and Technical report 2023.

Investigation of mental stress detection with an 8-channel EEG system using KNN, SVM and EEGNet

Galtung, I. T., & Marthinsen, A. J. Y. (2023). Investigation of mental stress detection with an 8-channel EEG system using KNN, SVM and EEGNet. In Master’s Thesis.

Automatic detection of mental stress responses from electroencephalogram signals

Sletten, C. M. (2023). Automatic detection of mental stress responses from electroencephalogram signals. In Master’s Thesis.

Design and evaluation of an automated stress detection system using Electroencephalography (EEG) signals

Andreassen, I. M. (2023). Design and evaluation of an automated stress detection system using Electroencephalography (EEG) signals. In Master’s Thesis.

Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology

Xiaying Wang, Lan Mei, Victor Kartsch, Andrea Cossettini, Luca Benini (2023). Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology. In IEEE BioCAS 2023.

Optimization of the Brain Command Dictionary in Silent Speech Recognition Task Based on Statistical Proximity Criterion

Alexandra Bernadotte, Alexandr Mazurin (2023). Optimization of the Brain Command Dictionary in Silent Speech Recognition Task Based on Statistical Proximity Criterion. In COMPUTER RESEARCH AND MODELING.

Cardiorespiratory monitoring with a wireless and nonadhesive belt measuring diaphragm activity in preterm and term infants: A multicenter non‐inferiority study

Scholten, Zhan, et al. (2023). Cardiorespiratory monitoring with a wireless and nonadhesive belt measuring diaphragm activity in preterm and term infants: A multicenter non‐inferiority study. In Pediatric Pulmonology.

Psychological stress detection with optimally selected EEG channel using Machine Learning techniques.

Marthinsen, A. J., Galtung, I., Cheema, A., Sletten, C., Andreassen, I. M., Sletta, Ø., Solker, A. & Molinas Cabrera, M. M. (2023). Psychological stress detection with optimally selected EEG channel using Machine Learning techniques. In Italian Workshop on Artificial Intelligence for Human-Machine Interaction (AIxHMI 2023).

Frequency, time, and spatial electroencephalogram changes after COVID-19 during a simple speech task

D.V. Vorontsova, M.V. Isaeva, I.A. Menshikov, K.Yu. Orlov, A. Bernadotte (2023). Frequency, time, and spatial electroencephalogram changes after COVID-19 during a simple speech task. In COMPUTER RESEARCH AND MODELING.

Multi-Channel Soft Dry Electrodes for Electrocardiography Acquisition in the Ear Region

P. van der Heijden, C. Gilbert, S. Jafari, M.A. Lucchini (2024). Multi-Channel Soft Dry Electrodes for Electrocardiography Acquisition in the Ear Region. In Sensors.

Smart Glasses as a Sensor Fusion Platform for Acquisition and Processing of ExG and Image Data.

Bernardi, A. H. (2024). Smart Glasses as a Sensor Fusion Platform for Acquisition and Processing of ExG and Image Data.

GAPses: Versatile smart glasses for comfortable and fully-dry acquisition and parallel ultra-low-power processing of EEG and EOG

S. Frey et al. (2024). GAPses: Versatile smart glasses for comfortable and fully-dry acquisition and parallel ultra-low-power processing of EEG and EOG. In pre-print.

Multimodal data for behavioural authentication in IoT environments

A. Krasovecm G. Baldini, V. Pejovic (2024). Multimodal data for behavioural authentication in IoT environments. In Data in Brief.

Comparison of wet and dry EEG electrodes

M. Laurent (2024). Comparison of wet and dry EEG electrodes. In Workshop (Sorbonne Paris).

An Ultra-Low Power Wearable BMI System with continual Learning Capabilities

L. Mai, T.M. Ingolfsson, C. Cioflan, V. Kartsch, A. Cossettini, X. Wang, L. Benini (2024). An Ultra-Low Power Wearable BMI System with continual Learning Capabilities. In IEEE Transactions on Biomedical Circuits and Systems.

Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine Interfaces.

Mei, L., Cioflan, C., Ingolfsson, T. M., Kartsch, V., Cossettini, A., Wang, X., & Benini, L. (2024). Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine Interfaces.. In IEEE Biomedical Circuits and Systems Conference (BioCAS).

OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications

P. Lepold, T. Röddiger, T. King, K. Kunze, C. Maurer, M. Beigl (2024). OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications. In UbiComp ’24: Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing.

The Effect of Sensory Reweighting on Postural Control and Cortical Activity in Parkinson’s Disease: A Pilot Study

Sadeghi, M., Bristow, T., Fakorede, S., Liao, K., Palmer, J. A., Lyons, K. E., … & Devos, H (2024). The Effect of Sensory Reweighting on Postural Control and Cortical Activity in Parkinson’s Disease: A Pilot Study. In Archives of Rehabilitation Research and Clinical Translation.

Development of tDCS skin contact materials and their measurement setup

Louhikoski, L. (2024). Development of tDCS skin contact materials and their measurement setup. In Master’s Thesis.

Eyewear-Based ECG Recording: A Novel Head-Electrode Approach for Reliable Cardiac Signal Acquisition

A.C. Palmisciano, M. Rossi, A. Farabbi, N. Antonello, D. Trojianiello, T. Ongarello, P. Cerveri, L. Mainardi (2025). Eyewear-Based ECG Recording: A Novel Head-Electrode Approach for Reliable Cardiac Signal Acquisition. In IEEE Access.

Effect of Sensory Reweighting on Postural Control and Cortical Activity in Parkinson Disease.

Sadeghi, M., Bristow, T., Fakorede, S., Lyons, K., Pahwa, R., Huang, C. K., … & Devos, H. (2025). Effect of Sensory Reweighting on Postural Control and Cortical Activity in Parkinson Disease. In Archives of Physical Medicine and Rehabilitation.

A Wearable Ultra-Low-Power System for EEG-Based Speech-Imagery Interfaces

T Ingolfsson, V. Kartsch, L. Benini, A. Cossettini (2025). A Wearable Ultra-Low-Power System for EEG-Based Speech-Imagery Interfaces. In IEEE Transactions on Biomedical Circuits and Systems.

EMD-Fuzzy: An Empirical Mode Decomposition Based Fuzzy Model for Cross-Stimulus Transfer Learning of SSVEP

B. Cao, X. Jian, D. Leong, C. Tsai, Y. Chang, T. Do, C. Lin (2025). EMD-Fuzzy: An Empirical Mode Decomposition Based Fuzzy Model for Cross-Stimulus Transfer Learning of SSVEP. In ArXiv – preprint.

VergeIO: Depth-Aware Eye Interaction on Glasses

X. Zhang, D. Vu, C. Shen, Y. Wang, Y. Shi, J. Chan (2025). VergeIO: Depth-Aware Eye Interaction on Glasses. In ArXiv – preprint.

Monaural Electroencephalogram towards Brain-controlled Hearing Aids

G. Yilmaz, J. Lahera, R. Rusconi, M. Frosio, N. Bonzon, M. Wälti, M. Segessenmann, M. Lucchini, J. Jorge (2025). Monaural Electroencephalogram towards Brain-controlled Hearing Aids. In CSEM Scientific and Technical report 2024.

ElectraSight: Fully Onboard Eye Tracking for Smart Glasses With Hybrid EOG (hEOG)

Schärer, N., Villani, F., Melatur, A., Peter, S., Polonelli, T., & Magno, M. (2025). ElectraSight: Fully Onboard Eye Tracking for Smart Glasses With Hybrid EOG (hEOG). In IEEE Internet of Things Journal.

BioGAP-Ultra: A Modular Edge-AI Platform for Wearable Multimodal Biosignal Acquisition and Processing

S. Frey, G. Spacone, A. Cossettini, M. Guermandi, L. Benini, V. Kartsch (2025). BioGAP-Ultra: A Modular Edge-AI Platform for Wearable Multimodal Biosignal Acquisition and Processing. In ArXiv – preprint.

A Parallel Ultra-Low Power Silent Speech Interface based on a Wearable, Fully-dry EMG Neckband

F. Meier, G. Spacone, S. Frey, L. Benini, A. Cossettini (2025). A Parallel Ultra-Low Power Silent Speech Interface based on a Wearable, Fully-dry EMG Neckband. In ArXiv – preprint.

Feasibility of In-Ear Single-Channel ExG for Wearable Sleep Monitoring in Real-World Settings

Lepold, P., Leichtle, J., Röddiger, T., & Beigl, M. (2025). Feasibility of In-Ear Single-Channel ExG for Wearable Sleep Monitoring in Real-World Settings. In ArXiv – preprint.

Wearable and Ultra-Low-Power Fusion of EMG and A-Mode US for Hand-Wrist Kinematic Tracking

G. Spacone, S. Frey, M. Orlandi, P.M. Rapa, V. Kartsch, S. Benatti, L. Benini, A. Cossettini (2025). Wearable and Ultra-Low-Power Fusion of EMG and A-Mode US for Hand-Wrist Kinematic Tracking. In ArXiv – preprint.

Towards Mitigating Trichotomy in Surface Electromyography (sEMG) in Dogs: A Comparative Analysis of Pre-gelled and Dry Electrodes

Caldeira, J., Caldeira, L., Brás, I., Ribeiro, A. M., da Silva, H. P., & Requicha, J. (2025). Towards Mitigating Trichotomy in Surface Electromyography (sEMG) in Dogs: A Comparative Analysis of Pre-gelled and Dry Electrodes. In 8th ENBENG IEEE Portuguese Meeting on Bioengineering.

Neural evidence for attentional resource allocation to postural control using body brain imaging.

Fakorede, S., Alkhameys, F., Liao, K., Martin, L., & Devos, H. (2025). Neural evidence for attentional resource allocation to postural control using body brain imaging. In Behavioural Brain Research.

Are Reusable Dry Electrodes an Alternative to Gelled Electrodes for Canine Surface Electromyography?

Ribeiro, A. M., Brás, I., Caldeira, L., Caldeira, J., Peham, C., Plácido da Silva, H., & Requicha, J. F. (2025). Are Reusable Dry Electrodes an Alternative to Gelled Electrodes for Canine Surface Electromyography?. In Animals.

Multisensor Smart Eyewear for Biomarkers Acquisition

I. Cupri, A. Scandinelli, A. Giudici, G. Gervasoni, D. Trojaniello, F. Villa (2025). Multisensor Smart Eyewear for Biomarkers Acquisition. In IEEE Sensors Journal.

Evaluating Electric Charge Variation Sensors for Camera-free Eye Tracking on Smart Glasses

Magdaleno, A., Bonazzi, P., Polonelli, T., & Magno, M. (2025). Evaluating Electric Charge Variation Sensors for Camera-free Eye Tracking on Smart Glasses. In ArXiv – preprint.

A patient-specific, 3D printed neurostimulator enabling focal transcranial electrical stimulation and EEG at home

M. Joodaki, et al. (2025). A patient-specific, 3D printed neurostimulator enabling focal transcranial electrical stimulation and EEG at home. In Journal of NeuroEngineering and Rehabilitation volume.

EEG glasses for real-time brain electrical activity monitoring

R. Zanetti, A. Aminifar, D. Atienza (2025). EEG glasses for real-time brain electrical activity monitoring. In Scientific Reports.

A comparative assessment of the simple and modified Randles cells using machine learning for optimal impedance fitting on artificial skin

Murphy, B. B., & Torita, T. (2026). A comparative assessment of the simple and modified Randles cells using machine learning for optimal impedance fitting on artificial skin. In Journal of Analytical Science and Technology.