Scientific articles and communications

Discover the research behind Halyzia® and its clinical validation

Sound wave pattern on black background.
Diagram showing a three-step CNN process for detecting fast ripples in intracerebral EEG for epilepsy. Step 1: CNN analysis of EEG signals to classify as FR candidate or non-FR. Step 2: rejection of false positives based on wavelet analysis. Step 3: review and rate results with graphical interface. Additional illustrations of EEG signals, brain image, and user interface.

Detecting fast-ripples on both micro- and macro-electrodes in epilepsy: a wavelet-based CNN detector

Gardy L, Curot J, Valton L, Berthier L, Barbeau EJ, & Hurter C.
Journal of Neuroscience Methods, 2025 Mar:415:110350.
DOI: 10.1016/j.jneumeth.2024.110350.

MORE INFO

Signal analysis: epileptic biomarkers

Line graph showing signals relative to N1 with labeled regions P1, N1, P2, and N2, and shaded areas indicating P1 and N1.

Combined interictal biomarkers

Oct. 16 2025

Detecting combined interictal biomarkers in human iEEG recordings - A new tool for clinicians within Halyzia ®

MORE INFO
Graph displaying three different plots: a top graph with a voltage signal showing a disturbance marked by a red arrow, a middle graph with a high-resolution waveform indicating a stimulus, and a bottom graph with a frequency spectrum highlighting a peak at a specific frequency, all over time in milliseconds.

Introduction
to HFOs

May 26 2025

HFOs are brief, high-frequency oscillations observed in EEG recordings. They are typically classified into two main categories: ripples (80–200 Hz) and fast ripples (200–600 Hz)...

MORE INFO
Flowchart illustrating the analysis of signals from three jackets labeled 'HFO', 'Noise', and 'Unsure', showing their respective waveform graphs leading to a computer with a question mark.

Why validating iEEG biomarker detectors is so difficult

January 7 2026

Interictal biomarkers of epilepsy such as spikes and high-frequency oscillations (HFOs) are increasingly being studied as clinical tools to guide epilepsy surgery…

MORE INFO

Other resources

Spectrogram and waveform of signals showing two distinct peaks, indicated by arrows, at specific frequencies and time points.

Why the name Halyzia®?

Sept. 15 2025

Legend has it that the mysterious blobs marking the fast-ripples on the normalized scalograms (Figure 1) bore an uncanny resemblance to the delicate colors of a ladybird

MORE INFO
Heatmap image with two bright spots, one heart-shaped in the center and a smaller one below, on a blue background.

Funny scalograms

Sept. 15 2025

Sometimes, scalograms show weird and funny shapes.

MORE INFO
A pattern of evenly spaced white diamonds on a black background.

Are you ready to unlock the full potential of intracranial EEG data ?

START A FREE TRIAL

Subscribe to our Newsletter

Stay up to date with the latest industry news and updates from our company, subscribe to our newsletter !
By subscribing, you agree to our Privacy Policy.

SUBSCRIBE
Laure Saint-Aubert Laure Saint-Aubert

Why the name Halyzia®?

Legend has it that the mysterious blobs marking the fast-ripples on the normalized scalograms (Figure 1) bore an uncanny resemblance to the delicate colors of a ladybird

Read More
Laure Saint-Aubert Laure Saint-Aubert

Introduction to HFOs

HFOs are brief, high-frequency oscillations observed in EEG recordings. They are typically classified into two main categories: ripples (80–200 Hz) and fast ripples (200–600 Hz). In some cases, high-gamma activity (60–120 Hz) and very fast oscillations (600–2000 Hz or higher) are also included under the broader term HFOs (Figure 1).

Read More