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Podcast: The Future of Neurology: Neural Interfaces Countering Neural Diseases

In this episode, we talk about NeuralTree: a neural interface capable of detecting neural impulses associated with brain disorders and countering them.

Daniel Mitchell

fromThe Next Byte

21 Feb, 2023.

Topic

healthcare

EPISODE NOTES

(0:46) - A Neuro-chip To Manage Brain Disorders

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Topic

healthcare

A neuro-chip to manage brain disorders

EPFL researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.

brain–machine interface (BMIs)

- healthcare

- machine learning

Celia Luterbacher

fromEPFL

31 Jan, 2023.

This article was discussed in our Next Byte podcast.

The full article will continue below.

Mahsa Shoaran of the Integrated Neurotechnologies Laboratory in the School of Engineering collaborated with Stéphanie Lacour in the Laboratory for Soft Bioelectronic Interfaces to develop NeuralTree: a closed-loop neuromodulation system-on-chip that can detect and alleviate disease symptoms. Thanks to a 256-channel high-resolution sensing array and an energy-efficient machine learning processor, the system can extract and classify a broad set of biomarkers from real patient data and animal models of disease in-vivo, leading to a high degree of accuracy in symptom prediction.

“NeuralTree benefits from the accuracy of a neural network and the hardware efficiency of a decision tree algorithm,” Shoaran says. “It’s the first time we’ve been able to integrate such a complex, yet energy-efficient neural interface for binary classification tasks, such as seizure or tremor detection, as well as multi-class tasks such as finger movement classification for neuroprosthetic applications.”

Their results were presented at the 2022 IEEE International Solid-State Circuits Conference and published in the IEEE Journal of Solid-State Circuits, the flagship journal of the integrated circuits community.

Efficiency, scalability, and versatility

NeuralTree functions by extracting neural biomarkers – patterns of electrical signals known to be associated with certain neurological disorders – from brain waves. It then classifies the signals and indicates whether they herald an impending epileptic seizure or Parkinsonian tremor, for example. If a symptom is detected, a neurostimulator – also located on the chip – is activated, sending an electrical pulse to block it.

Shoaran explains that NeuralTree’s unique design gives the system an unprecedent

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Podcast: The Future of Neurology: Neural Interfaces Countering Neural Diseases

In this episode, we talk about NeuralTree: a neural interface capable of detecting neural impulses associated with brain disorders and countering them.

EPISODE NOTES

Efficiency, scalability, and versatility

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EPISODE NOTES

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