Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review
Y Xu, X Zheng, Y Li, X Ye, H Cheng… - Journal of Evidence …, 2023 - Wiley Online Library
Background Increasingly, patient medication adherence data are being consolidated from
claims databases and electronic health records (EHRs). Such databases offer an indirect …
claims databases and electronic health records (EHRs). Such databases offer an indirect …
Pathological and physiological high-frequency oscillations on electroencephalography in patients with epilepsy
High-frequency oscillations (HFOs) encompass ripples (80 Hz–200 Hz) and fast ripples (200
Hz–600 Hz), serving as a promising biomarker for localizing the epileptogenic zone in …
Hz–600 Hz), serving as a promising biomarker for localizing the epileptogenic zone in …
[HTML][HTML] Accurate differentiation between physiological and pathological ripples recorded with scalp-EEG
AH Mooij, GJM Huiskamp, E Aarts, CH Ferrier… - Clinical …, 2022 - Elsevier
Objective To compare scalp-EEG recorded physiological ripples co-occurring with vertex
waves to pathological ripples co-occurring with interictal epileptiform discharges (IEDs) …
waves to pathological ripples co-occurring with interictal epileptiform discharges (IEDs) …
Automatic detection of scalp high-frequency oscillations based on deep learning
Y Li, D Cao, J Qu, W Wang, X Xu… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Scalp high-frequency oscillations (sHFOs) are a promising non-invasive biomarker of
epilepsy. However, the visual marking of sHFOs is a time-consuming and subjective …
epilepsy. However, the visual marking of sHFOs is a time-consuming and subjective …
EMHapp: a pipeline for the automatic detection, localization and visualization of epileptic magnetoencephalographic high-frequency oscillations
Objective. High-frequency oscillations (HFOs) are promising biomarkers for localizing
epileptogenic brain tissue. Previous studies have revealed that HFOs that present …
epileptogenic brain tissue. Previous studies have revealed that HFOs that present …
Unsupervised Multivariate Feature-Based Adaptive Clustering Analysis of Epileptic EEG Signals
Y Du, G Li, M Wu, F Chen - Brain Sciences, 2024 - mdpi.com
Supervised classification algorithms for processing epileptic EEG signals rely heavily on the
label information of the data, and existing supervised methods cannot effectively solve the …
label information of the data, and existing supervised methods cannot effectively solve the …
Evaluation of connectivity measures to identify Seizure Onset and Propagation Zones in Refractory Epilepsy: A Case study with two different Post-Surgical Outcomes
E Condominas, C Migliorelli, A Bachiller… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
High Frequency Oscillations (HFO) have been found very useful in refractory epilepsy. They
have been used to identify the epileptogenic zone and as a promising clinical biomarker for …
have been used to identify the epileptogenic zone and as a promising clinical biomarker for …
A Study of Epileptogenic Foci Localization Algorithm Based on Automatic Detection of Comprehensive Feature HFOs and RF-LR
G LI - Chinese Journal of Electronics, 2025 - cje.ejournal.org.cn
Studies have shown that fast ripples of 250–500 Hz in epileptic Electroencephalography
(EEG) signals are more pathological and closer to the epileptogenic focus itself compared to …
(EEG) signals are more pathological and closer to the epileptogenic focus itself compared to …
Classifying High-Frequency Oscillations by Morphologic Contrast to Background, With Surgical Outcome Correlates
K Qing, E Von Stein, L Yamada, A Fogarty… - Journal of Clinical …, 2022 - journals.lww.com
Purpose: Ictal high-frequency oscillations (HFOs) are a reliable indicator of a seizure onset
zone for intracranial EEG recordings. Interictal HFOs often are also observed and may be a …
zone for intracranial EEG recordings. Interictal HFOs often are also observed and may be a …