Wearable Sensors

Boosting your wearable
application to the next

level with SoftPulse®

Soft dry electrodes can be used for easy, comfortable, and long-term monitoring of
bio-signals like EEG, ECG, EMG and EOG for consumer as well as medical
applications. Thanks to the low impedance and dry use, SoftPulse® is perfectly
suitable on the head, on the body, and in the ear.

EEG

Brain signals

ECG

Cardiac activity

EMG

Skeletal muscles

EOG

Eye movement

Upcoming events

prev
next
Sensors Converge 2026
Exhibition | May 5, 2026 – May 7, 2026

Sensors Converge

location-icon Santa Clara, USA
MD&M Midwest 2026
Exhibition | Oct 28, 2026 – Oct 29, 2026

MD&M Midwest

location-icon Minneapolis, MN, USA
Medica 2026
Exhibition | Nov 16, 2026 – Nov 19, 2026

Medica

location-icon Düsseldorf, Germany

Advantages Knowing how to use the technology

  • Soft and robust material
    Thanks to its unique material properties, SoftPulse® is both comfortable and robust, making it suitable for long term wear.
  • Ready for your skin
    SoftPulse® has been developed for dry gel-free use to avoid skin irritation and discomfort.
  • Various standard designs
    Several brush and flat SoftPulse® designs are available off-the-shelf to allow fast supply to our customers.
  • Excellent performances
    Strong signal quality, fast equilibration time and excellent stability are some key benefits of SoftPulse®.
  • Upscalable to commercial volumes
    Our production processes are designed for fast upscaling, meaning that large quantities can be supplied within the shortest timeframe.
  • Customization to your needs
    SoftPulse® is easy to customize, allowing integration in devices like headsets, wristbands, glasses and hearables.

Latest news

SoftPulse® electrodes to support OpenEarable biosensig platform in real-world sleep study
Article | Feb 20, 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
Article | Sep 18, 2025

Wearables have become a major driver of innovation in personalized healthcare in recent years. Learn more about how we turn insights into solutions through our solution design approach on the example of SoftPulse® Flex

SoftPulse® electrodes to support OpenEarable biosensig platform in real-world sleep study
Article | Feb 20, 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
Article | Sep 18, 2025

Wearables have become a major driver of innovation in personalized healthcare in recent years. Learn more about how we turn insights into solutions through our solution design approach on the example of SoftPulse® Flex

Use cases

Markets and Applications

Thanks to their combination of high performance, comfort, customization and easy integration SoftPulse® can be used in various types of wearables and for a manifold of applications.

Gaming

Leverage active bio-feedback to bring your experience to a new level.

Industry

Active feedback and better human-machine interfaces for a more efficient and safer workplace.

  • Experience enhancement

    Adapt your gaming experience to your real-time biofeedback

  • Brain computer interface

    Use your brain signal to control devices and applications

  • Hands-free experience

    Detect biological activity for gesture control

Lifestyle

Expand the capabilities of wearables by implement­ing bio-signal detection.

  • Hand-free communication

    Improve efficiency by exploiting unconventional body controls

  • Remote control

    Use human machine interfaces to access remote devices

  • Fatigue detection

    Real-time and objective feedback for a safer workplace

Medical

Support the growing market of wearable devices for remote patient monitoring.

  • Metaverse

    Enhance your experience in the metaverse through real time biofeedback

  • Self-awareness

    Real-time feedback for a better control of your health

  • Seamless integration

    Upgrade your wearable devices with bio-signal detection

Sport

Improve your tracking capabilities to increase safety and performance.

  • Early detection of pathologies

    Medical monitoring made simple and comfortable for prevention of degenerative diseases

  • Remote patient monitoring

    Stay connected and monitor remotely without effort

  • Continuous vital signs monitoring

    Seamless and accurate monitoring for proactive healthcare

  • Performance improvement

    Measure objective parameters to boost your performance

  • Stress level detection

    Reveal your body response to training to maximize performance and reduce stress

  • Concussion detection

    Detect real-time traumatic events to avoid long-term risks

Boost your wearable device to the next level with SoftPulse®

Our Customers

Technology Innovators
in Bio-Monitoring

An increasing number of established companies and innovative start-ups are embedding SoftPulse® technology into their products.

Our Partners

Global Network of Technology Leaders

We work closely with leading experts, research institutions, as well as with carefully selected start-ups from all over the world, to continually strengthen both our scientific and economic expertise.

Contact

To find out more about our SoftPulse®, our services,
and how we can help you, please get in touch with us.

SCIENTIFIC PUBLICATIONS

The following scientific publications provide additional context for readers interested in our SoftPulse Technology, offering insights into the broader scientific background and related topics.

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.