Monitoring infants by automatic video processing: A unified approach to motion analysis

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• 作者：Luca Cattani^a ; ^{luca.cattani@unipr.it} ; Davide Alinovi^a ; ^{alinovi@tlc.unipr.it} ; Gianluigi Ferrari^a ; ^{gianluigi.ferrari@unipr.it} ; Riccardo Raheli^a ; ^{riccardo.raheli@unipr.it} ; Elena Pavlidis^b ; ^{elena.pavlidis@studenti.unipr.it} ; Carlotta Spagnoli^b ; ^{carlotta.spagnoli@studenti.unipr.it} ; Francesco Pisani^b ; ^{francesco.pisani@unipr.it}
• 关键词：Neonatal clonic seizure ; Apnea ; Breath monitoring ; Periodicity analysis ; Maximum-likelihood detection
• 刊名：Computers in Biology and Medicine
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：80
• 期：Complete
• 页码：158-165
• 全文大小：944 K
• 卷排序：80

文摘

Unified approach to video-processing detection of specific neonatal diseases. Relevant motion signal is extracted to analyze infant movements. Presence/absence of periodic movements is exploited to detect clonic seizures or apneas. Maximum-likelihood criterion is used to estimate periodicity of the movements. System performance on real patients are compared with medical gold standard devices.