This paper explores the use of support vector machines (SVMs) for automated recognition of patients with OSAS types (±) using features extracted from nocturnal ...
This paper explores the use of support vector machines (SVMs) for automated recognition of patients with OSAS types (+/-) using features extracted from ...
The proposed OSA recognition system comprises three stages. In the first stage, an algorithm based on DWT was used to analyze ECG recordings for the detection ...
Aug 15, 2008 · These results suggest superior performance of SVMs in OSAS recognition supported by wavelet-based features of ECG. The results demonstrate ...
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In this paper, a novel automatic OSA detection method using a single-lead ECG signal has been proposed. A nonlinear feature extraction using wavelet transform ( ...
Missing: Automated recognition apnoea
The results suggest superior performance of SVMs in OSAS recognition supported by wavelet-based features of ECG and demonstrate considerable potential in ...
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An expert system for automated recognition of patients with ...
dl.acm.org › doi › j.eswa.2011.04.080
The proposed OSA recognition system comprises three stages. In the first stage, an algorithm based on DWT was used to analyze ECG recordings for the detection ...
Oct 22, 2024 · This study proposes three different methods to evaluate Obstructive Sleep Apnea (OSA) during sleep time solely based on the ECG signal. OSA is a ...
The results indicate that a highly accurate OSA detection is attained by just exploiting the single-lead ECG signals and due to the low computational load ...
Missing: apnoea | Show results with:apnoea
In this study, we proposed an expert system for automated recognition of patients with obstructive sleep apnea using ECG recordings. The proposed model consists ...