{"id":103501,"date":"2025-05-28T07:08:20","date_gmt":"2025-05-28T07:08:20","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-%d9%85%d9%82%d8%a7%db%8c%d8%b3%d9%87-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%db%8c%d8%a7%d8%af%da%af\/"},"modified":"2025-05-28T07:08:20","modified_gmt":"2025-05-28T07:08:20","slug":"%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-%d9%85%d9%82%d8%a7%db%8c%d8%b3%d9%87-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%db%8c%d8%a7%d8%af%da%af-103501","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-%d9%85%d9%82%d8%a7%db%8c%d8%b3%d9%87-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%db%8c%d8%a7%d8%af%da%af-103501\/","title":{"rendered":"\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0645\u0633\u062a\u0642\u06cc\u0645 \u0646\u0627\u0631\u0633\u0627\u06cc\u06cc \u062a\u0646\u0641\u0633\u06cc \u062f\u0631 \u0645\u0642\u0627\u0628\u0644 \u062a\u062e\u0645\u06cc\u0646 \u0627\u0634\u0628\u0627\u0639 \u0627\u06a9\u0633\u06cc\u0698\u0646 \u062e\u0648\u0646"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nContrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation<\/td>\n<\/tr>\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0645\u0633\u062a\u0642\u06cc\u0645 \u0646\u0627\u0631\u0633\u0627\u06cc\u06cc \u062a\u0646\u0641\u0633\u06cc \u062f\u0631 \u0645\u0642\u0627\u0628\u0644 \u062a\u062e\u0645\u06cc\u0646 \u0627\u0634\u0628\u0627\u0639 \u0627\u06a9\u0633\u06cc\u0698\u0646 \u062e\u0648\u0646<\/td>\n<\/tr>\n
\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\nMarcelo Matheus Gauy, Natalia Hitomi Koza, Ricardo Mikio Morita, Gabriel Rocha Stanzione, Arnaldo Candido Junior, Larissa Cristina Berti, Anna Sara Shafferman Levin, Ester Cerdeira Sabino, Flaviane Romani Fernandes Svartman, Marcelo Finger<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nPDF<\/td>\n<\/tr>\n
\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u062a\u062d\u0648\u06cc\u0644\u06cc <\/td>\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 <\/td>\n\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\n<\/tr>\n
\u0646\u062d\u0648\u0647 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 <\/td>\n\u062f\u0648 \u062a\u0627 \u0633\u0647 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634 (\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc)<\/td>\n<\/tr>\n
\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n25<\/td>\n<\/tr>\n
\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a <\/td>\nSound,Machine Learning,Audio and Speech Processing,\u0635\u062f\u0627 , \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 , \u067e\u0631\u062f\u0627\u0632\u0634 \u0635\u0648\u062a\u06cc \u0648 \u06af\u0641\u062a\u0627\u0631 ,<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a <\/td>\nSubmitted 30 July, 2024; originally announced July 2024. , Comments: 23 pages, 4 figures, in review at Journal of Biomedical Signal Processing and Control<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u0627\u0631\u0633\u0627\u0644 \u0634\u062f\u0647 30 \u0698\u0648\u0626\u06cc\u0647 2024 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0698\u0648\u0626\u06cc\u0647 2024 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f \u060c \u0646\u0638\u0631\u0627\u062a: 23 \u0635\u0641\u062d\u0647 \u060c 4 \u0634\u06a9\u0644 \u060c \u062f\u0631 \u0628\u0631\u0631\u0633\u06cc \u062f\u0631 \u0645\u062c\u0644\u0647 \u067e\u0631\u062f\u0627\u0632\u0634 \u0648 \u06a9\u0646\u062a\u0631\u0644 \u0633\u06cc\u06af\u0646\u0627\u0644 \u0632\u06cc\u0633\u062a \u067e\u0632\u0634\u06a9\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06af\u0632\u06cc\u0646\u0647\u200c\u0647\u0627\u06cc \u062e\u0631\u06cc\u062f<\/h3>\n
\n

\u062f\u0627\u0646\u0644\u0648\u062f \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/h4>\n

\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0641\u0627\u06cc\u0644 PDF \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc \u0631\u0627 \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f.<\/p>\n

\u0642\u06cc\u0645\u062a: 19,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n<\/p><\/div>\n

\n

\u062f\u0627\u0646\u0644\u0648\u062f \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc + \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647 \u0627\u06cc \u0645\u0642\u0627\u0644\u0647 + \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647<\/h4>\n

\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc\u060c \u06cc\u06a9 \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647\u200c\u0627\u06cc \u0641\u0627\u0631\u0633\u06cc \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n

\u0642\u06cc\u0645\u062a: 99,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n<\/p><\/div>\n

\n

\u0633\u0641\u0627\u0631\u0634 \u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 + \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647 \u0627\u06cc \u0645\u0642\u0627\u0644\u0647 + \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647<\/h4>\n

\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc \u0648 \u062a\u0631\u062c\u0645\u0647 \u06a9\u0627\u0645\u0644 \u0622\u0646\u060c \u06cc\u06a9 \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647\u200c\u0627\u06cc \u0641\u0627\u0631\u0633\u06cc \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n

\u0642\u06cc\u0645\u062a: 1,000,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n

\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644: 2 \u062a\u0627 3 \u0631\u0648\u0632 \u06a9\u0627\u0631\u06cc<\/p>\n<\/p><\/div>\n<\/p><\/div>\n\r\n\r\n \r\n \r\n \r\n \r\n
\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n <\/tr>\r\n
\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n <\/tr>\r\n\t
\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 <\/td>\r\n \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n <\/tr>\r\n\t\t
\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 <\/td>\r\n \u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n <\/tr>\r\n<\/table>\r\n\r\n\n

\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n

We contrast high effectiveness of state of the art deep learning architectures designed for general audio classification tasks, refined for respiratory insufficiency (RI) detection and blood oxygen saturation (SpO$_2$) estimation and classification through automated audio analysis. Recently, multiple deep learning architectures have been proposed to detect RI in COVID patients through audio analysis, achieving accuracy above 95% and F1-score above 0.93. RI is a condition associated with low SpO$_2$ levels, commonly defined as the threshold SpO$_2$ <92%. While SpO$_2$ serves as a crucial determinant of RI, a medical doctor's diagnosis typically relies on multiple factors. These include respiratory frequency, heart rate, SpO$_2$ levels, among others. Here we study pretrained audio neural networks (CNN6, CNN10 and CNN14) and the Masked Autoencoder (Audio-MAE) for RI detection, where these models achieve near perfect accuracy, surpassing previous results. Yet, for the regression task of estimating SpO$_2$ levels, the models achieve root mean square error values exceeding the accepted clinical range of 3.5% for finger oximeters. Additionally, Pearson correlation coefficients fail to surpass 0.3. As deep learning models perform better in classification than regression, we transform SpO$_2$-regression into a SpO$_2$-threshold binary classification problem, with a threshold of 92%. However, this task still yields an F1-score below 0.65. Thus, audio analysis offers valuable insights into a patient's RI status, but does not provide accurate information about actual SpO$_2$ levels, indicating a separation of domains in which voice and speech biomarkers may and may not be useful in medical diagnostics under current technologies.<\/p>\n

\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n

\u0645\u0627 \u062f\u0631 \u062a\u0636\u0627\u062f \u0628\u0627 \u0627\u062b\u0631\u0628\u062e\u0634\u06cc \u0628\u0627\u0644\u0627 \u0627\u0632 \u0645\u0639\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0647\u0646\u0631 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0635\u0648\u062a\u06cc \u0639\u0645\u0648\u0645\u06cc \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u060c \u062a\u0635\u0641\u06cc\u0647 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u0646\u0627\u0631\u0633\u0627\u06cc\u06cc \u062a\u0646\u0641\u0633 (RI) \u0648 \u0627\u0634\u0628\u0627\u0639 \u0627\u06a9\u0633\u06cc\u0698\u0646 \u062e\u0648\u0646 (SPO $ _2 $) \u062a\u062e\u0645\u06cc\u0646 \u0648 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0635\u0648\u062a\u06cc.\u0628\u0647 \u062a\u0627\u0632\u06af\u06cc \u060c \u0686\u0646\u062f\u06cc\u0646 \u0645\u0639\u0645\u0627\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 RI \u062f\u0631 \u0628\u06cc\u0645\u0627\u0631\u0627\u0646 COVID \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0635\u0648\u062a\u06cc \u060c \u062f\u0633\u062a\u06cc\u0627\u0628\u06cc \u0628\u0647 \u062f\u0642\u062a \u0628\u0627\u0644\u0627\u062a\u0631 \u0627\u0632 95 \u066a \u0648 F1-Score \u0628\u0627\u0644\u0627\u062a\u0631 \u0627\u0632 0.93 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0634\u062f\u0647 \u0627\u0633\u062a.RI \u0634\u0631\u0627\u06cc\u0637\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627 \u0633\u0637\u062d SPO \u06a9\u0645 $ _2 $ \u0647\u0645\u0631\u0627\u0647 \u0627\u0633\u062a \u060c \u06a9\u0647 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0622\u0633\u062a\u0627\u0646\u0647 SPO $ _2 $ <92 \u066a \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc \u0634\u0648\u062f.\u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 SPO $ _2 $ \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u062a\u0639\u06cc\u06cc\u0646 \u06a9\u0646\u0646\u062f\u0647 \u0645\u0647\u0645 RI \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f \u060c \u062a\u0634\u062e\u06cc\u0635 \u067e\u0632\u0634\u06a9 \u067e\u0632\u0634\u06a9\u06cc \u0628\u0647 \u0637\u0648\u0631 \u0645\u0639\u0645\u0648\u0644 \u0628\u0647 \u0639\u0648\u0627\u0645\u0644 \u0645\u062e\u062a\u0644\u0641\u06cc \u0645\u062a\u06a9\u06cc \u0627\u0633\u062a.\u0627\u06cc\u0646 \u0645\u0648\u0627\u0631\u062f \u0634\u0627\u0645\u0644 \u0641\u0631\u06a9\u0627\u0646\u0633 \u062a\u0646\u0641\u0633\u06cc \u060c \u0636\u0631\u0628\u0627\u0646 \u0642\u0644\u0628 \u060c \u0633\u0637\u062d SPO $ _2 $ \u062f\u0631 \u0645\u06cc\u0627\u0646 \u062f\u06cc\u06af\u0631\u0627\u0646 \u0627\u0633\u062a.\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0627 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0635\u0648\u062a\u06cc \u067e\u06cc\u0634 \u0633\u0627\u062e\u062a\u0647 (CNN6 \u060c CNN10 \u0648 CNN14) \u0648 Autoencoder \u0645\u0627\u0633\u06a9 (Audio-MAE) \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 RI \u0645\u0637\u0627\u0644\u0639\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0647\u0627 \u0628\u0627 \u062f\u0642\u062a \u06a9\u0627\u0645\u0644 \u0628\u0647 \u062f\u0642\u062a \u06a9\u0627\u0645\u0644 \u0645\u06cc \u0631\u0633\u0646\u062f.\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 \u060c \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062a\u062e\u0645\u06cc\u0646 \u0633\u0637\u062d SPO $ _2 $ \u060c \u0645\u062f\u0644\u0647\u0627 \u0628\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062e\u0637\u0627\u06cc \u0645\u0631\u0628\u0639\u06cc \u0628\u06cc\u0634 \u0627\u0632 \u0645\u062d\u062f\u0648\u062f\u0647 \u0628\u0627\u0644\u06cc\u0646\u06cc \u067e\u0630\u06cc\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 3.5 \u066a \u0628\u0631\u0627\u06cc \u0627\u06a9\u0633\u06cc\u0633\u06cc\u0645 \u0647\u0627\u06cc \u0627\u0646\u06af\u0634\u062a \u0645\u06cc \u0631\u0633\u0646\u062f.\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u060c \u0636\u0631\u0627\u06cc\u0628 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u067e\u06cc\u0631\u0633\u0648\u0646 \u0627\u0632 0.3 \u067e\u06cc\u0634\u06cc \u0646\u0645\u06cc \u06af\u06cc\u0631\u0646\u062f.\u0627\u0632 \u0622\u0646\u062c\u0627 \u06a9\u0647 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0646\u0633\u0628\u062a \u0628\u0647 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0647\u062a\u0631\u06cc \u0646\u0633\u0628\u062a \u0628\u0647 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062f\u0627\u0631\u0646\u062f \u060c \u0645\u0627 SPO $ _2 $ \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0645\u0634\u06a9\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627\u06cc\u0646\u0631\u06cc \u0622\u0633\u062a\u0627\u0646\u0647 SPO $ $ $-\u0628\u0627 \u0622\u0633\u062a\u0627\u0646\u0647 92 \u066a \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u06cc\u0645.\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 \u060c \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0647\u0646\u0648\u0632 \u0647\u0645 \u06cc\u06a9 \u0646\u0645\u0631\u0647 F1 \u0632\u06cc\u0631 0.65 \u0631\u0627 \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 \u062f\u0627\u0631\u062f.\u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u060c \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0635\u0648\u062a\u06cc \u0628\u06cc\u0646\u0634 \u0627\u0631\u0632\u0634\u0645\u0646\u062f\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0648\u0636\u0639\u06cc\u062a RI \u0628\u06cc\u0645\u0627\u0631 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f \u060c \u0627\u0645\u0627 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062f\u0642\u06cc\u0642\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0633\u0637\u062d \u0648\u0627\u0642\u0639\u06cc SPO $ _2 $ \u0627\u0631\u0627\u0626\u0647 \u0646\u0645\u06cc \u062f\u0647\u062f \u060c \u0648 \u0627\u06cc\u0646 \u0646\u0634\u0627\u0646\u06af\u0631 \u062c\u062f\u0627\u0633\u0627\u0632\u06cc \u062f\u0627\u0645\u0646\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0646\u0634\u0627\u0646\u06af\u0631\u0647\u0627\u06cc \u0632\u06cc\u0633\u062a\u06cc \u0635\u062f\u0627 \u0648 \u06af\u0641\u062a\u0627\u0631 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0648 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0631 \u062a\u0634\u062e\u06cc\u0635 \u067e\u0632\u0634\u06a9\u06cc \u062a\u062d\u062a \u0641\u0646\u0627\u0648\u0631\u06cc \u0647\u0627\u06cc \u0641\u0639\u0644\u06cc \u0645\u0641\u06cc\u062f \u0646\u0628\u0627\u0634\u062f\u0628\u0634\u0631\n\n [sc name=\"papertranslation\"][\/sc]\n<\/p>\n","protected":false},"excerpt":{"rendered":"

\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 […]<\/p>\n","protected":false},"featured_media":27,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[511,1158],"product_tag":[],"class_list":{"0":"post-103501","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-511","7":"product_cat-1158","8":"pmpro-has-access","9":"desktop-align-left","10":"tablet-align-left","11":"mobile-align-left","13":"first","14":"instock","15":"shipping-taxable","16":"purchasable","17":"product-type-variable"},"yoast_head":"\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0645\u0633\u062a\u0642\u06cc\u0645 \u0646\u0627\u0631\u0633\u0627\u06cc\u06cc \u062a\u0646\u0641\u0633\u06cc \u062f\u0631 \u0645\u0642\u0627\u0628\u0644 \u062a\u062e\u0645\u06cc\u0646 \u0627\u0634\u0628\u0627\u0639 \u0627\u06a9\u0633\u06cc\u0698\u0646 \u062e\u0648\u0646 - 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