31.03.2026

New publication: Comfortable Flower Electrodes for Dry EEG in Epilepsy and Clinical Neurophysiology Diagnostics

New publication: Comfortable Flower Electrodes for Dry EEG in Epilepsy and Clinical Neurophysiology Diagnostics

Dimitrios Dimitrakopoulos
Figure 1. Representative EEG traces from the flower electrode system. (A) Illustration of the flower EEG components from top to bottom: electrode design; electrodes integrated into the silicone net cap structure; cap worn by a volunteer (for illustration; model). (B) Patient #1: Generalized spike–wave complexes (SWCs) are clearly visible (green rectangle). (C) Patient #2: Intermittent rhythmic delta activity in the fronto-temporal regions (red rectangle).

Dry electroencephalography (EEG) electrodes enable rapid, gel-free setups, which are crucial for point-of-care diagnostics, but often face challenges with comfort and signal quality—especially in a clinical context. Novel “flower” dry electrodes are a special type of reusable scalp electrodes for dry EEG, featuring a distinct flower-like shape with angled pins in three intertwined layers. While the new electrode design has been validated in an in vivo study on healthy volunteers, we tested its clinical applicability in a proof-of-concept study involving three patients diagnosed with epilepsy and delirium. The recordings were of high diagnostic quality, enabling the reliable identification of pathological patterns, such as generalized spike–wave complexes and intermittent delta activity, with a signal-to-noise ratio comparable to prior reports for sponge-based EEG systems (limited case series). The signal-to-noise ratio (SNR) proved to be sufficiently high for clinical diagnostic purposes, resulting in visually clear and interpretable EEG data that enabled effective assessment of patients’ neurophysiological signals. Consequently, our findings demonstrate that the comfortable flower-electrode design is a viable and effective tool for epilepsy diagnostics, extended recording, and clinical neurophysiology. It represents a significant step towards patient-centered and gel-free EEG technology, specifically in point-of-care and emergency applications, without compromising the diagnostic quality of the recordings.

Original publication: 

Dimitrios Dimitrakopoulos, Justus Marquetand, Joji Kuramatsu, Patrique Fiedler, Johannes Lang,  Sensors 202626(7), 2146; https://doi.org/10.3390/s26072146 

Contact person: Prof. Dr.-Ing. Patrique Fiedler