A VALIDATION STUDY OF AUTOMATED SLEEP APNOEA DETECTION USING ALERTE DIGITAL HEALTH'S ARTIFICIAL INTELLIGENCE SYSTEM

Bollam L.; Hulshoff D.; Turewicz M.; Mohamad R.; Philpott J.

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A VALIDATION STUDY OF AUTOMATED SLEEP APNOEA DETECTION USING ALERTE DIGITAL HEALTH'S ARTIFICIAL INTELLIGENCE SYSTEM

机译：用Alstre数字健康的人工智能系统进行自动睡眠呼吸暂停检测的验证研究

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来源
《Journal of sleep research 》 |2017年第s1期| 共1页
作者
Bollam L.; Hulshoff D.; Turewicz M.; Mohamad R.; Philpott J.;
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作者单位

Alerte Digital Hlth Perth WA Australia;

Sleep WA Nedlands WA Australia;

Alerte Digital Hlth Perth WA Australia;

Alerte Digital Hlth Perth WA Australia;

Sleep WA Nedlands WA Australia;

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正文语种 eng
中图分类神经病学与精神病学 ;
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机译：用Alstre数字健康的人工智能系统进行自动睡眠呼吸暂停检测的验证研究
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4. Automated detection of obstructive sleep apnoea by single-lead ECG through ELM classification [C] . Sadr Nadi, de Chazal Philip Computing in Cardiology Conference . 2014

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7. A validation study of automated sleep apnoea detection using alerte digital health's artificial intelligence system [O] . 2017

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8. Digital Systems Validation. Chapter 20 Artificial Intelligence with Applicationsfor Aircraft. Handbook. Volume 2 [R] . Harrison, L., Saunders, P., Janowitz, J. 1994

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A VALIDATION STUDY OF AUTOMATED SLEEP APNOEA DETECTION USING ALERTE DIGITAL HEALTH'S ARTIFICIAL INTELLIGENCE SYSTEM

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