A deep learning approach for fetal QRS complex detection.
Sign Up to like & getrecommendations! Published in 2018 at "Physiological measurement"
DOI: 10.1088/1361-6579/aab297
Abstract: OBJECTIVE Non-invasive foetal electrocardiography (NI-FECG) has the potential to provide more additional clinical information for detecting and diagnosing fetal diseases. We propose and demonstrate a deep learning approach for fetal QRS complex detection from raw… read more here.
Keywords: qrs complex; fetal qrs; deep learning; qrs ... See more keywords
Preparation of a superhydrophobic AgNP/GF substrate and its SERS application in a complex detection environment.
Sign Up to like & getrecommendations! Published in 2021 at "Optics express"
DOI: 10.1364/oe.441606
Abstract: Surface-enhanced Raman scattering (SERS) is widely considered to be a fingerprint spectrum that can realize molecular identification, and it continues to receive a lot of attention due to its high sensitivity and powerful qualitative analysis… read more here.
Keywords: detection environment; detection; agnp substrate; substrate ... See more keywords
A RUSBoosted tree method for k-complex detection using tunable Q-factor wavelet transform and multi-domain feature extraction
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1108059
Abstract: Background K-complex detection traditionally relied on expert clinicians, which is time-consuming and onerous. Various automatic k-complex detection-based machine learning methods are presented. However, these methods always suffered from imbalanced datasets, which impede the subsequent processing… read more here.
Keywords: complex detection; rusboosted tree; detection; model ... See more keywords