Sleep stages automatically scored from mandibular movement signal recorded by a unique chin sensor

N. LE-DONG (Namur, Belgium), J. Pépin (Grenoble, France), C. Letesson (Namur, Belgium), A. Dedave (Namur, Belgium), V. Cuthbert (Namur, Belgium), J. Martinot (Namur, Belgium)

Source: Virtual Congress 2020 – From respiratory physiology to diagnosis and treatment
Session: From respiratory physiology to diagnosis and treatment
Session type: E-poster session
Number: 2564
Disease area: Sleep and breathing disorders

Congress or journal article abstractE-poster

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
N. LE-DONG (Namur, Belgium), J. Pépin (Grenoble, France), C. Letesson (Namur, Belgium), A. Dedave (Namur, Belgium), V. Cuthbert (Namur, Belgium), J. Martinot (Namur, Belgium). Sleep stages automatically scored from mandibular movement signal recorded by a unique chin sensor. 2564

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.
You must Login to comment this presentation.


Related content which might interest you:
Sleep apnea diagnosis supported by a neural network analysis combining single-channel mandibular movement recordings with co-morbidities and self-reported symptoms.
Source: International Congress 2019 – Diagnostic issues in obstructive sleep apnoea
Year: 2019

Comparison of visual and automatic methods for scoring leg movements in polygraphic sleep recordings. Validity of a modified automatic method
Source: Annual Congress 2008 - Diagnostic aspects of sleep apnoea
Year: 2008


Validation of a new method to analyse locomotion and postures in daily life with one sensor location at the lower back.
Source: Annual Congress 2008 - Technologies and techniques in rehabilitation
Year: 2008

Validation of mandibular movements as a surrogate marker for sleep respiratory effort
Source: International Congress 2017 – New pathophysiological insights: intermittent hypoxia, cardiopulmonary function and biomarkers
Year: 2017


Late Breaking Abstract - Clinical value of a mandibular movements recording sensor in obstructive sleep apnea diagnosis: a machine learning approach
Source: International Congress 2019 – Pathophysiological aspects of obstructive sleep apnoea from sea level to high altitude
Year: 2019

Mandibular advancement and obstructive sleep apnoea: a method for determining effective mandibular protrusion
Source: Eur Respir J 2006; 27: 1003-1009
Year: 2006



Is it possible to check whether two measurements was performed on the same patient using pulsoximetric pulse wave signal characteristics?
Source: International Congress 2015 – Measuring sleep-disordered breathing in children and adults II: questionnaires, epidemiology and sleep studies
Year: 2015


Comparison of the visually scored AHI determined by a new recording system compared to conventional polysomnography
Source: Eur Respir J 2006; 28: Suppl. 50, 194s
Year: 2006

Comparison of a novel ear worn sensor (e-AR) with an armband sensor for physical activity monitoring in COPD
Source: Annual Congress 2010 - Physical activity methodology assessment and clinical consequences
Year: 2010

Assessment of mandibular advancement device (MAD) efficiency through functional imaging using computer methods
Source: Annual Congress 2008 - Alternatives for continuous positive airway pressure therapy in obstructive sleep apnoea
Year: 2008



Deep learning for scoring sleep based on cardiorespiratory signals as compared to auto and multiple manual sleep scorings based on neurological signals
Source: International Congress 2018 – New diagnostic tools for sleep and breathing and healthcare provision options
Year: 2018




Oral appliances
Source: Eur Respir Mon 2010; 50: 267-285
Year: 2010


Assessment of airway collapse in adult trachobronchomalacia: Correlating subjective visual quantification and colour histogram mode technique
Source: Annual Congress 2010 - Airway patency: the role of interventional bronchoscopy
Year: 2010

A new digital stethophone: bioacoustic analyses of breath sounds recorded from a simple mp3 player
Source: Annual Congress 2007 - Advances in respiratory mechanics
Year: 2007


Prospective evaluation of a thermoplastic mandibular advancement device in 20 patients with sleep related breathing disorders
Source: Eur Respir J 2002; 20: Suppl. 38, 103s
Year: 2002

Skeletal changes in the sagittal, vertical, and transverse dimensions after rapid palatal expansion in children with OSAS
Source: Annual Congress 2008 - Assessment of sleep apnoea
Year: 2008

Age and stages of sleep affects surface electromyogram (sEMGdi) of the diaphragm during sleep in children
Source: International Congress 2014 – Sleep disordered breathing: from children to the elderly
Year: 2014


Sleep screening by means of photoplethysmographically derived pulse wave parameters
Source: Annual Congress 2009 - Diagnostic aspects in obstructive sleep apnoea
Year: 2009

Synchronisation between multiple sleep EEG parameters and autonomous nervous system parameters to estimate sleep quality
Source: Annual Congress 2009 - Diagnostic aspects in obstructive sleep apnoea
Year: 2009


An algorithm to automatically identify cough sounds from clinical recordings
Source: Annual Congress 2003 - Cough and sleep disorders
Year: 2003