Swiss Startup IDUN Technologies Launches its First Product, The Dryode

IDUN Dryode
Image: IDUN Technologies

The Swiss ETH Spin-off, IDUN Technologies has launched its first product, the Dryode™, two years after its foundation. IDUN develops and manufactures accurate and comfortable sensors for wearable devices. The new product is available through OpenBCI, Inc. an open source platform for neuroscience.

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Current disposable wet electrodes for biopotential monitoring can cause skin irritations and dry out over time. This limits usability as well as long-term monitoring applications. Additionally, disposable wet electrodes are prone to motion artifacts and are not water resistant.

The soft and flexible dry electrode allows high precision biopotential monitoring (ECG, EMG, EEG) with an unobtrusive user experience. The Dryode™ Kit addresses researchers, developers and makers with its reusable high-end electrodes. The Dryode™ Kit is compatible with the OpenBCI Ganglion and Cyton. OpenBCI allows anyone interested in biosensing, brain-computer interfacing and neurofeedback to purchase high-quality equipment at affordable prices, says a press release.

Dryode
Image: IDUN Technologies

“We are very excited to work with IDUN Technologies in offering affordable biosensing equipment to our community” says Conor Russomanno, CEO and founder of OpenBCI.

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About IDUN

IDUN Technologies is a leading producer of customized soft and dry electrodes – the DRYODES™. The company was founded in 2017 following three years of academic R&D at ETH Zürich. Its Dryodes are used around the world for wearable technology and research. Preparation-free and skin compliant biopotential electrodes with recording quality enable wearables for future healthcare and the Internet of Humans. The Swiss ETH Spin-off aims to be the best interface between the user’s skin and wearable devices to connect humans in everyday life. The Dryode™ is the first product in a development pipeline working towards continuous body monitoring for sports diagnostics, wellbeing and brain-computer interfaces.