External lighting and sensing photoglottography: Characterization and MSePGG algorithm

• Published in: Biomedical signal processing and control Vol. 51; pp. 318 - 327
• Main Authors: Bouvet, A., Amelot, A., Pelorson, X., Maeda, S., Van Hirtum, A.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2019; Elsevier
• Subjects: Biomechanics; Engineering Sciences; Glottal area; Mechanics; Multi-Signal-ePGG algorithm; Multi-Signal-ePGG algorithm; Glottal area
• ISSN: 1746-8094; 1746-8108
• DOI: 10.1016/j.bspc.2019.01.014

•Countries must internationally report emissions/removals.•Estimates and confidence intervals alone do not characterize the quality of the information.•A checklist of survey-based information is proposed to reporting countries.•General survey information, error sources and propagated error are relevant in the list.•Uncertainty aversion may preclude countries from providing accurate estimates. Continuous observation of the time-varying glottal area lacks a direct, quantitative, non-invasive measurement method despite its relevance to study breathing, speech production, swallowing, etc. External photoglottography (ePGG) relies on external glottal transillumination and sensing, it is therefore suitable for non-invasive and continuous observation. Nevertheless, a formalized relationship between ePGG signal and glottal area is lacking. The current paper proposes a Multi-Signal-ePGG (MSePGG) algorithm approach based on characterization of ePGG measurements under controlled conditions using mechanical glottal replicas. MSePGG accounts for main parameters affecting the ePGG signal: glottal area to be quantified and measurement conditions such as tissue properties and signal amplification. It is shown that MSePGG enables quantitative and continuous measurement of the time-varying glottal area on mechanical replicas. Application to a human subject is illustrated and discussed.