ACCEPTED ARTICLE PREVIEW
Accepted Article Preview: Published ahead of advance online publication Real-time detection, classification and quantification of apneic episodes using miniature surface motion sensors in rats
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Dan Waisman, Lior Lev-Tov, Carmit Levy, Anna Faingersh, Ifat Colman Klotzman, Haim Bibi, Avi Rotschild, Amir Landesberg
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Cite this article as: Dan Waisman, Lior Lev-Tov, Carmit Levy, Anna Faingersh, Ifat Colman Klotzman, Haim Bibi, Avi Rotschild, Amir Landesberg, Real-time detection, classification and quantification of apneic episodes using miniature surface motion sensors in rats, Pediatric Research accepted article preview online 31 March 2015; doi:10.1038/pr.2015.69
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This is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication. NPG is providing this early version of the manuscript as a service to our customers. The manuscript will undergo copyediting, typesetting and a proof review before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers apply.
Received 02 August 2014 ; accepted 13 January 2015 ; Accepted article preview online 31 March 2015
© 2015 International Pediatric Research Foundation, Inc. All rights reserved
ACCEPTED ARTICLE PREVIEW
Real-time detection, classification and quantification of apneic episodes using miniature surface motion sensors in rats Running title: Apnea detection using motion sensors Dan Waisman1,2, Lior Lev-Tov2,3, Carmit Levy3-5, Anna Faingersh3, Ifat Colman Klotzman4,5, Haim Bibi6, Avi Rotschild1,2, and Amir Landesberg3.
Department of Neonatology, Carmel Medical Center, Haifa, Israel
2
Faculty of Medicine, Technion–Israel Institute of Technology, Haifa, Israel
3
Faculty of Biomedical Engineering, Technion–IIT, Haifa, Israel
4
Department of Neonatology, Mayer Children's Hospital, Haifa, Israel
5
Pneumedicare Ltd., Yokneam, Israel
6
Department of Pediatrics, Barzilai Medical Center, Ashkelon, Israel
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1
Note. The first and second authors contributed equally to this study.
Corresponding author: Dan Waisman, MD, Department of Neonatology, Carmel Medical Center, 7 Michal St., Haifa, Israel 34362. Phone: +972545221303 - Fax: +97248250774. Email: [email protected]
© 2015 International Pediatric Research Foundation, Inc. All rights reserved
ACCEPTED ARTICLE PREVIEW
Financial support: This work was supported in part by a grant for the promotion of research at the Technion, Israel Institute of Technology, Haifa, Israel (AL). Chest wall dynamics were measured by equipment provided by Pneumedicare Ltd., Yokneam, Israel. Conflict of interest: DW, CL, AF, ICK, and AL are involved in the development of a respiratory function monitor within a collaborative effort between the Technion-Israel Institute of Technology, Clalit Health Services and Pneumedicare Ltd. LL, HB, and AR
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do not have conflict of interest to declare.
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Category of Study: Translational Research
© 2015 International Pediatric Research Foundation, Inc. All rights reserved
ACCEPTED ARTICLE PREVIEW
Abstract Background: Real-time detection and classification of apneic episodes remain significant challenges. This study explores the applicability of a novel method of monitoring the respiratory effort and dynamics for rapid detection and classification of apneic episodes. Methods: Obstructive apnea (OA) and hypopnea/central apnea (CA) were induced in nine tracheostomized rats, by short-lived airway obstruction, and administration of succinylcholine, respectively. Esophageal pressure (EP), EtCO2, SpO2, HR, and blood-pressure were monitored.
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Respiratory dynamics were monitored utilizing three miniature motion sensors placed on the
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chest and epigastrium. Three indices were derived from these sensors: amplitude of the tidal chest wall displacement (TDi), breath time length (BTL), that included inspiration and rapid expiration
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phases, and amplitude time integral (ATI), the integral of breath amplitude over time.
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Results: OA induced a progressive 6.42±3.48 fold increase in EP from baseline, which paralleled
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a 3.04±1.19 fold increase in TDi (P
Accepted Article Preview: Published ahead of advance online publication Real-time detection, classification and quantification of apneic episodes using miniature surface motion sensors in rats
rip
t
Dan Waisman, Lior Lev-Tov, Carmit Levy, Anna Faingersh, Ifat Colman Klotzman, Haim Bibi, Avi Rotschild, Amir Landesberg
us c
Cite this article as: Dan Waisman, Lior Lev-Tov, Carmit Levy, Anna Faingersh, Ifat Colman Klotzman, Haim Bibi, Avi Rotschild, Amir Landesberg, Real-time detection, classification and quantification of apneic episodes using miniature surface motion sensors in rats, Pediatric Research accepted article preview online 31 March 2015; doi:10.1038/pr.2015.69
A cc
ep te
d
m
an
This is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication. NPG is providing this early version of the manuscript as a service to our customers. The manuscript will undergo copyediting, typesetting and a proof review before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers apply.
Received 02 August 2014 ; accepted 13 January 2015 ; Accepted article preview online 31 March 2015
© 2015 International Pediatric Research Foundation, Inc. All rights reserved
ACCEPTED ARTICLE PREVIEW
Real-time detection, classification and quantification of apneic episodes using miniature surface motion sensors in rats Running title: Apnea detection using motion sensors Dan Waisman1,2, Lior Lev-Tov2,3, Carmit Levy3-5, Anna Faingersh3, Ifat Colman Klotzman4,5, Haim Bibi6, Avi Rotschild1,2, and Amir Landesberg3.
Department of Neonatology, Carmel Medical Center, Haifa, Israel
2
Faculty of Medicine, Technion–Israel Institute of Technology, Haifa, Israel
3
Faculty of Biomedical Engineering, Technion–IIT, Haifa, Israel
4
Department of Neonatology, Mayer Children's Hospital, Haifa, Israel
5
Pneumedicare Ltd., Yokneam, Israel
6
Department of Pediatrics, Barzilai Medical Center, Ashkelon, Israel
A cc
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an
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1
Note. The first and second authors contributed equally to this study.
Corresponding author: Dan Waisman, MD, Department of Neonatology, Carmel Medical Center, 7 Michal St., Haifa, Israel 34362. Phone: +972545221303 - Fax: +97248250774. Email: [email protected]
© 2015 International Pediatric Research Foundation, Inc. All rights reserved
ACCEPTED ARTICLE PREVIEW
Financial support: This work was supported in part by a grant for the promotion of research at the Technion, Israel Institute of Technology, Haifa, Israel (AL). Chest wall dynamics were measured by equipment provided by Pneumedicare Ltd., Yokneam, Israel. Conflict of interest: DW, CL, AF, ICK, and AL are involved in the development of a respiratory function monitor within a collaborative effort between the Technion-Israel Institute of Technology, Clalit Health Services and Pneumedicare Ltd. LL, HB, and AR
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do not have conflict of interest to declare.
A cc
ep te
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m
an
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Category of Study: Translational Research
© 2015 International Pediatric Research Foundation, Inc. All rights reserved
ACCEPTED ARTICLE PREVIEW
Abstract Background: Real-time detection and classification of apneic episodes remain significant challenges. This study explores the applicability of a novel method of monitoring the respiratory effort and dynamics for rapid detection and classification of apneic episodes. Methods: Obstructive apnea (OA) and hypopnea/central apnea (CA) were induced in nine tracheostomized rats, by short-lived airway obstruction, and administration of succinylcholine, respectively. Esophageal pressure (EP), EtCO2, SpO2, HR, and blood-pressure were monitored.
rip
t
Respiratory dynamics were monitored utilizing three miniature motion sensors placed on the
us c
chest and epigastrium. Three indices were derived from these sensors: amplitude of the tidal chest wall displacement (TDi), breath time length (BTL), that included inspiration and rapid expiration
an
phases, and amplitude time integral (ATI), the integral of breath amplitude over time.
m
Results: OA induced a progressive 6.42±3.48 fold increase in EP from baseline, which paralleled
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d
a 3.04±1.19 fold increase in TDi (P
