Montreal Archive of Sleep Studies: an open-access resource for instrument benchmarking and exploratory research

被引:208
|
作者
O'Reilly, Christian [1 ,2 ]
Gosselin, Nadia [1 ,3 ]
Carrier, Julie [1 ,3 ]
Nielsen, Tore [1 ,2 ]
机构
[1] Hop Sacre Coeur, Ctr Adv Res Sleep Med, Montreal, PQ H4J 1C5, Canada
[2] Univ Montreal, Dept Psychiat, Montreal, PQ H3C 3J7, Canada
[3] Univ Montreal, Dept Psychol, Montreal, PQ H3C 3J7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
collaboration tool; methodology; open-data; reproducibility; K-COMPLEX; STAGE CLASSIFICATION; AUTOMATED DETECTION; HYPOPNEA EVENTS; EEG; VALIDATION; ARTIFACTS; APNEA; SYSTEM; WAVE;
D O I
10.1111/jsr.12169
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Manual processing of sleep recordings is extremely time-consuming. Efforts to automate this process have shown promising results, but automatic systems are generally evaluated on private databases, not allowing accurate cross-validation with other systems. In lacking a common benchmark, the relative performances of different systems are not compared easily and advances are compromised. To address this fundamental methodological impediment to sleep study, we propose an open-access database of polysomnographic biosignals. To build this database, whole-night recordings from 200 participants [97 males (aged 42.9 +/- 19.8years) and 103 females (aged 38.3 +/- 18.9years); age range: 18-76years] were pooled from eight different research protocols performed in three different hospital-based sleep laboratories. All recordings feature a sampling frequency of 256Hz and an electroencephalography (EEG) montage of 4-20 channels plus standard electro-oculography (EOG), electromyography (EMG), electrocardiography (ECG) and respiratory signals. Access to the database can be obtained through the Montreal Archive of Sleep Studies (MASS) website (), and requires only affiliation with a research institution and prior approval by the applicant's local ethical review board. Providing the research community with access to this free and open sleep database is expected to facilitate the development and cross-validation of sleep analysis automation systems. It is also expected that such a shared resource will be a catalyst for cross-centre collaborations on difficult topics such as improving inter-rater agreement on sleep stage scoring.
引用
收藏
页码:628 / 635
页数:8
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