Cross-cut: `algo-erp-classification`

Axis: algorithms

3 corpus entries disclose this tag.

Earliest disclosure: 2002-06

Listed in chronological order. Each entry’s prior_art_notes and disclosure_citation constitute the citeable prior art material.

Wolpaw et al. (2002) — ‘Brain-computer interfaces for communication and control’ (2002-06)

id: wolpaw-2002-bci-review
corpus: academic
form factor: other
creator: Jonathan R. Wolpaw et al.
disclosure: Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM. ‘Brain-computer interfaces for communication and control.’ Clinical Neurophysiology 2002;113(6):767-791.
ip status: public-domain
sensors: sensor-eeg
algorithms: algo-bci-p300, algo-bci-ssvep, algo-bci-motor-imagery, algo-erp-classification
prior art notes: Canonical review establishing, as of 2002, the major non-invasive EEG-based BCI paradigms (sensorimotor rhythms / motor imagery, P300 evoked potentials, SSVEP, slow cortical potentials) and the signal-processing pipeline for translating EEG into control output. Prior art for wearable-BCI claims reciting any of these paradigms with scalp EEG: the paradigms and methods were published and enabled by 2002. Anchor for the BCI algorithm cross-cuts.

id: looney-mandic-2012-in-ear-eeg
corpus: academic
form factor: earbud
creator: David Looney / Preben Kidmose / Danilo P. Mandic et al.
disclosure: Looney D, Kidmose P, Park C, Ungstrup M, Rank ML, Rosenkranz K, Mandic DP. ‘The in-the-ear recording concept: user-centered and wearable brain monitoring.’ IEEE Pulse 2012;3(6):32-42. (See also Kidmose P, et al. ‘A study of evoked potentials from ear-EEG.’ IEEE Trans Biomed Eng 2013;60(10):2824-2830.)
ip status: public-domain
sensors: sensor-dry-eeg-electrode, sensor-eeg
algorithms: algo-drowsiness-detection, algo-sleep-staging, algo-bci-ssvep, algo-erp-classification
prior art notes: Discloses recording EEG from electrodes placed inside the ear canal / concha of an individually-fitted earpiece — i.e. EEG in an earbud / hearing-aid form factor, demonstrated to capture alpha modulation, auditory steady-state and evoked responses. Any wearable claim reciting ‘EEG electrodes disposed on an in-ear earpiece to measure an electroencephalographic signal of the wearer’ reads on Looney et al. 2012. Anchor for the earbud/hearing-aid × EEG cross-cut; complementary to [[debener-2015-ceegrid-around-ear-eeg]] and [[zanetti-aminifar-atienza-eglass-2025]] (around-ear / temporal pickup).

id: debener-2015-ceegrid-around-ear-eeg
corpus: academic
form factor: patch
creator: Stefan Debener / Martin G. Bleichner et al. (Oldenburg)
disclosure: Debener S, Emkes R, De Vos M, Bleichner MG. ‘Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear.’ Scientific Reports 2015;5:16743.
ip status: public-domain
sensors: sensor-dry-eeg-electrode, sensor-eeg
algorithms: algo-erp-classification, algo-sleep-staging, algo-drowsiness-detection
prior art notes: Discloses a flexible, printed, C-shaped electrode array worn around the ear (behind and below the auricle) for unobtrusive ambulatory EEG, recorded to a smartphone-class device. Any wearable claim reciting ‘an array of EEG electrodes arranged around/behind the ear of the wearer’ (the geometry used by EEG glasses, EEG earbuds, and EEG behind-the-ear stickers) reads on Debener et al. 2015. Directly relevant prior art for [[zanetti-aminifar-atienza-eglass-2025]] (which uses temporal/around-ear pickup) and for around-ear-EEG hearable claims; anchor for that cross-cut.