Desarrollo de un dispositivo electrónico para el diagnóstico del Síndrome de Apnea Obstructiva del Sueño
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H. Chien-Chang. W. Jie-Han, C. Hou-Chang, L. Chia-Mo, Evaluating the sleep quality of obstructive sleep apnea patients after continuous positive airway pressure treatment. Computer in Biology and Medicine, 43, 2013, 870-878.
Ronquido, enemigo íntimo. http://www.saludymedicinas.com.mx/centros-desalud/insomnio/articulos-relacionados/ronquido-enemigo-intimo.html. Junio 2014.
R. Jane, JS. Soler, JA. Fiz, J. Morera, “Automatic of Snoring Signals: Validation with Simple Snores and OSAS Patients”, 22nd Annual EMBS International Conference, 23 Julio 2000, 3.
S. Canisius, T. Ploch, V. Gross, A. Jerrentrup, T. Penzel, K. Kesper, “Detection of Sleep Disordered Breathing by Automated ECG Analysis”,30th Annual International IEEE EMBS Conference, 24 Agosto 2008, 4.
S. Babaeizadeh, D. P. White, S. D. Pittman, S. H. Zhou, “Automatic Detection and Quantification of Sleep Apnea Using Heart Rate Variability”, Journal of Electrocardiology, 43, 2010, 535-541.
G Sannino, ID Falco, GD Prieto, “Monitoring Obstructive Sleep Apnea by means of a real-time mobile system based on the automatic extraction of sets of rules through Differential Evolution”, Journal of Biomedical Informatics, 2014, Article in Press.
A Yildiz, M Akin, M Poyraz, “An expert system for automated recognition of patients with obstructive sleep apnea using electrocardiogram recordings”, Experts Systems with Applications, 38, 2011, 12880-12890.
Z. Abedin, C. Roberto ECG “Interpretation The Self- Assesmentt Aproach”, Black well Futura, 2008.
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