Comparison metrics for multi-step prediction of rare events in vital sign signals
PG Kandhare, N Ambalavanan, CP Travers… - … Signal Processing and …, 2023 - Elsevier
Prediction of changes in biomedical signals, such as vital signs, is useful for many clinical
applications. Several signal prediction (forecasting) tools were developed, but their …
applications. Several signal prediction (forecasting) tools were developed, but their …
Detection of preceding sleep apnea using ECG spectrogram during CPAP titration night: A novel machine‐learning and bag‐of‐features framework
TTD Linh, NTH Trang, SY Lin, D Wu… - Journal of Sleep …, 2024 - Wiley Online Library
Obstructive sleep apnea (OSA) has a heavy health‐related burden on patients and the
healthcare system. Continuous positive airway pressure (CPAP) is effective in treating OSA …
healthcare system. Continuous positive airway pressure (CPAP) is effective in treating OSA …
Screening the risk of obstructive sleep apnea by utilizing supervised learning techniques based on anthropometric features and snoring events
Objectives Obstructive sleep apnea (OSA) is typically diagnosed by polysomnography
(PSG). However, PSG is time-consuming and has some clinical limitations. This study thus …
(PSG). However, PSG is time-consuming and has some clinical limitations. This study thus …
Comparison Metrics for Multi-Step Biomedical Signal Prediction
PG Kandhare, N Ambalavanan, CP Travers… - Available at SSRN … - papers.ssrn.com
Prediction of changes in biomedical signals, such as vital signs, is useful for many clinical
applications. Several signal prediction (forecasting) tools were developed, but their …
applications. Several signal prediction (forecasting) tools were developed, but their …