Daily Newsletter

15 September 2023

Daily Newsletter

15 September 2023

Beacon receives US FDA approval for sleep monitoring device

The device features six electrodes and an integrated accelerometer for measuring head movement and body position.

RanjithKumar Dharma September 15 2023

Beacon Biosignals has received 510(k) clearance from the US Food and Drug Administration (FDA) for its artificial intelligence-assisted sleep monitoring device, Dreem 3S.

The new wearable headband with integrated machine learning algorithms will help acquire electroencephalogram (EEG) data from the brain for monitoring sleep architecture and assisting in disturbed sleep diagnosis.

Claimed to be the first dry-EEG medical device of its kind, Dreem 3S enables the collection of EEG data at home. It also offers automated sleep staging, as per the classification of the American Academy of Sleep Medicine.

With the potential to record for 24 hours, the device features six electrodes and an integrated accelerometer for measuring head movement and the position of the body.

In a clinical usability study, the device was found to be well tolerated by users and generate clinical-grade data in the home environment.

Beacon, which focuses on offering treatments for neurological, psychiatric and sleep disorders, purchased Dreem’s research and development business in July this year.

Beacon Biosignals CEO and co-founder Jacob Donoghue said: “Longitudinal EEG sleep data may be a powerful tool to gain clinical insight into a wide variety of neurological and psychiatric conditions.

“We are enabling high-fidelity, overnight brain activity to be efficiently collected in the patient's home, opening new doors for clinical trial endpoints.”

Millions of Americans suffer from sleep disorders, which are connected to the underlying causes of conditions ranging from major depressive disorder to neurodegenerative diseases.

Generative AI set to transform the medical devices industry

Generative AI can improve personalized healthcare by collecting data from patients via wearable devices, which can provide continuous, real-time data that can complement traditional data sources such as imaging, patient records, and more. It can also enhance existing imaging techniques by generating high-quality images of organs using data from low-resolution images (such as ultrasounds). However, the collection and use of patient healthcare data through AI medical products could conflict with regulations around the globe.

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