An automatic rules extraction approach to support OSA events detection in an mHealth system.
作者： Giovanna Sannino , Ivanoe De Falco , Giuseppe De Pietro
DOI: 10.1109/JBHI.2014.2311325
关键词:
摘要: Detection and real time monitoring of obstructive sleep apnea (OSA) episodes are very important tasks in healthcare. To suitably face them, this paper proposes an easy-to-use, cheap mobile-based approach relying on three steps. First, single-channel ECG data from a patient collected by wearable sensor recorded mobile device. Second, the automatic extraction knowledge about that takes place offline, set IF...THEN rules containing heart-rate variability (HRV) parameters is achieved. Third, these used our real-time system: same collects sends them to device, which now processes those online compute HRV-related parameter values. If values activate one found for patient, alarm immediately produced. This has been tested literature database with 35 OSA patients. A comparison against five well-known classifiers carried out.
sci-hub.se 参考文章(24)
W Morton Caldwell, Shingo Hamada, Ryoichi Ishida, Yoshiharu Yonezawa, Hiromichi Maki, Allen W Hahn, Hidekuni Ogawa, Ishio Ninomiya, Kouji Sada, A wearable, mobile phone-based respiration monitoring system for sleep apnea syndrome detection. Biomedical sciences instrumentation. ,vol. 41, pp. 289- 293 ,(2005)
Cindy den Herder, Joachim Schmeck, Dick J K Appelboom, Nico de Vries, Risks of general anaesthesia in people with obstructive sleep apnoea BMJ. ,vol. 329, pp. 955- 959 ,(2004) , 10.1136/BMJ.329.7472.955
Giovanna Sannino, Giuseppe De Pietro, An Evolved eHealth Monitoring System for a Nuclear Medicine Department 2011 Developments in E-systems Engineering. pp. 3- 6 ,(2011) , 10.1109/DESE.2011.67
Alice SL Ng, Joanne WY Chung, Mayur DI Gohel, Winnie WM Yu, Ka L Fan, Thomas KS Wong, Evaluation of the performance of using mean absolute amplitude analysis of thoracic and abdominal signals for immediate indication of sleep apnoea events Journal of Clinical Nursing. ,vol. 17, pp. 2360- 2366 ,(2008) , 10.1111/J.1365-2702.2008.02323.X
P J Ryan, M F Hilton, D A Boldy, A Evans, S Bradbury, S Sapiano, K Prowse, R M Cayton, Validation of British Thoracic Society guidelines for the diagnosis of the sleep apnoea/hypopnoea syndrome: can polysomnography be avoided? Thorax. ,vol. 50, pp. 972- 975 ,(1995) , 10.1136/THX.50.9.972
AF Quiceno-Manrique, JB Alonso-Hernandez, CM Travieso-Gonzalez, MA Ferrer-Ballester, G Castellanos-Dominguez, None, Detection of obstructive sleep apnea in ECG recordings using time-frequency distributions and dynamic features international conference of the ieee engineering in medicine and biology society. ,vol. 2009, pp. 5559- 5562 ,(2009) , 10.1109/IEMBS.2009.5333736
G. Sannino, G. De Pietro, A smart context-aware mobile monitoring system for heart patients bioinformatics and biomedicine. pp. 655- 695 ,(2011) , 10.1109/BIBMW.2011.6112448
Ivanoe De Falco, Differential Evolution for automatic rule extraction from medical databases soft computing. ,vol. 13, pp. 1265- 1283 ,(2013) , 10.1016/J.ASOC.2012.10.022
ROBERT LIN, REN-GUEY LEE, CHWAN-LU TSENG, HENG-KUAN ZHOU, CHIH-FENG CHAO, JOE-AIR JIANG, A NEW APPROACH FOR IDENTIFYING SLEEP APNEA SYNDROME USING WAVELET TRANSFORM AND NEURAL NETWORKS Biomedical Engineering: Applications, Basis and Communications. ,vol. 18, pp. 138- 143 ,(2006) , 10.4015/S1016237206000233
Shamma Alqassim, Madhumeta Ganesh, Shaheen Khoja, Meher Zaidi, Fadi Aloul, Assim Sagahyroon, Sleep Apnea Monitoring using mobile phones international conference on e-health networking, applications and services. pp. 443- 446 ,(2012) , 10.1109/HEALTHCOM.2012.6379457