A new version of the TMSi Python Interface (V5.2.0.0) has been released! We are continuously improving our TMSi Python interface. This latest release (10-04-2024), introduces an integration with Cometa's WaveX system.  Furthermore, the user experience related to the visualization library has improved with some new automated features. Finally, some minor bug fixes reported by users have been resolved ..read more

We're pleased to introduce a new integration that offers the possibility to use a TMSi system in combination with Cometa's WaveX, offering a practical solution for combining High-Density EMG with bipolar EMG and IMUs. This integration is available as a plugin for the TMSi Python interface, incorporating the WaveX SDK seamlessly into its structure. Best of all, it's free to use. Highlights of this Integration One platform (Python) to control acquisition from both TMSi devices and the Cometa WaveX system for enhanced efficiency and user experience. Synchronization possibilities without the ne ..read more

We're thrilled to invite you to our upcoming webinar: Advancing HD-EMG Research! In this webinar, we will discuss the common challenges of High-Density Electromyography (HD-EMG) and present our innovative solution aimed at improving data quality and advancing HD-EMG research ..read more

We are excited to announce a new Matlab Application for the acquisition and analysis of HD-EMG signals: I-Spin SAGA Live. This application offers the capability to detect the discharge activity of individual motor units in real time. Additionally, it can utilize the learned motor unit filter in real-time, thereby allowing the possibility to supply subjects with visual feedback on the Motor Unit activity during experiments. This tool can help guide researchers who aim to study movement control at the motor neuron level. The application has been designed and constructed by a dedicated rese ..read more

Exciting news! We are happy to announce the release of our new SAGA User Application, a free and easy-to-use software to perform HD-EMG and EEG measurements. At TMSi, we've listened to your feedback, creating this intuitive application to enhance user experience at any experience level. We believe this improvement will greatly benefit both our current and future users ..read more

Today, TMSi attended the Symposium S.V. Paradoks 2024: Perfecting Potential, Mastering Movement located in the Technohal, University of Twente). The theme of this symposium focused on understanding and enhancing movement, including diverse lectures that covered topics from brain function to muscle movement. During the symposium, Colette and Lisette gave a demonstration of the Textile HD-EMG Grids, which are used in movement science applications, to the biomedical engineering and technical medicine students and attendees. If you would like to learn more about our products for movement science ..read more

The new Textile HD-EMG grids allow you to record high-quality HD-EMG signals, even in difficult locations. Here you can download example recordings, so you can investigate the data quality yourself. This blog will explain how we recorded this facial muscles dataset and how you can import the dataset and perform your analysis.  ..read more

An explanation and an example measurement of the P300. Electroencephalography (EEG) allows you to measure brain activity non-invasively. Many different methods have been designed to obtain information about different processes in the brain. Event-related potentials (ERPs) are characteristic brain waves that are present after an individual is exposed to a series of stimuli or events.1,2 The P300 is a specific type of ERP that is linked to neural processes like attention allocation, working memory, and decision-making.4 ..read more

Insights into the different research possibilities of HD-EMG ..read more

Insight in the PhD of Anouk Scholten ..read more