Non-Contact Assessment of Swallowing Dysfunction Using Smartphone Captured Skin Displacements
Early and accurate dysphagia diagnosis is essential for reducing the risk of associated co-morbidities and mortalities. Barriers to current evaluation methods may alter the effectiveness of identifying at-risk patients. This preliminary study evaluates the feasibility of using iPhone X-captured vide...
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Published in: | Sensors (Basel, Switzerland) Vol. 23; no. 12; p. 5392 |
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Abstract | Early and accurate dysphagia diagnosis is essential for reducing the risk of associated co-morbidities and mortalities. Barriers to current evaluation methods may alter the effectiveness of identifying at-risk patients. This preliminary study evaluates the feasibility of using iPhone X-captured videos of swallowing as a non-contact dysphagia screening tool. Video recordings of the anterior and lateral necks were captured simultaneously with videofluoroscopy in dysphagic patients. Videos were analyzed using an image registration algorithm (phase-based Savitzky-Golay gradient correlation (P-SG-GC)) to determine skin displacements over hyolaryngeal regions. Biomechanical swallowing parameters of hyolaryngeal displacement and velocity were also measured. Swallowing safety and efficiency were assessed by the Penetration Aspiration Scale (PAS), Residue Severity Ratings (RSR), and the Normalized Residue Ratio Scale (NRRS). Anterior hyoid excursion and horizontal skin displacements were strongly correlated with swallows of a 20 mL bolus (r
= 0.67). Skin displacements of the neck were moderately to very strongly correlated with scores on the PAS (r
= 0.80), NRRS (r
= 0.41-0.62), and RSR (r
= 0.33). This is the first study to utilize smartphone technology and image registration methods to produce skin displacements indicating post-swallow residual and penetration-aspiration. Enhancing screening methods provides a greater chance of detecting dysphagia, reducing the risk of negative health impacts. |
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AbstractList | Early and accurate dysphagia diagnosis is essential for reducing the risk of associated co-morbidities and mortalities. Barriers to current evaluation methods may alter the effectiveness of identifying at-risk patients. This preliminary study evaluates the feasibility of using iPhone X-captured videos of swallowing as a non-contact dysphagia screening tool. Video recordings of the anterior and lateral necks were captured simultaneously with videofluoroscopy in dysphagic patients. Videos were analyzed using an image registration algorithm (phase-based Savitzky–Golay gradient correlation (P-SG-GC)) to determine skin displacements over hyolaryngeal regions. Biomechanical swallowing parameters of hyolaryngeal displacement and velocity were also measured. Swallowing safety and efficiency were assessed by the Penetration Aspiration Scale (PAS), Residue Severity Ratings (RSR), and the Normalized Residue Ratio Scale (NRRS). Anterior hyoid excursion and horizontal skin displacements were strongly correlated with swallows of a 20 mL bolus (rs = 0.67). Skin displacements of the neck were moderately to very strongly correlated with scores on the PAS (rs = 0.80), NRRS (rs = 0.41–0.62), and RSR (rs = 0.33). This is the first study to utilize smartphone technology and image registration methods to produce skin displacements indicating post-swallow residual and penetration-aspiration. Enhancing screening methods provides a greater chance of detecting dysphagia, reducing the risk of negative health impacts. Early and accurate dysphagia diagnosis is essential for reducing the risk of associated co-morbidities and mortalities. Barriers to current evaluation methods may alter the effectiveness of identifying at-risk patients. This preliminary study evaluates the feasibility of using iPhone X-captured videos of swallowing as a non-contact dysphagia screening tool. Video recordings of the anterior and lateral necks were captured simultaneously with videofluoroscopy in dysphagic patients. Videos were analyzed using an image registration algorithm (phase-based Savitzky-Golay gradient correlation (P-SG-GC)) to determine skin displacements over hyolaryngeal regions. Biomechanical swallowing parameters of hyolaryngeal displacement and velocity were also measured. Swallowing safety and efficiency were assessed by the Penetration Aspiration Scale (PAS), Residue Severity Ratings (RSR), and the Normalized Residue Ratio Scale (NRRS). Anterior hyoid excursion and horizontal skin displacements were strongly correlated with swallows of a 20 mL bolus (r = 0.67). Skin displacements of the neck were moderately to very strongly correlated with scores on the PAS (r = 0.80), NRRS (r = 0.41-0.62), and RSR (r = 0.33). This is the first study to utilize smartphone technology and image registration methods to produce skin displacements indicating post-swallow residual and penetration-aspiration. Enhancing screening methods provides a greater chance of detecting dysphagia, reducing the risk of negative health impacts. Early and accurate dysphagia diagnosis is essential for reducing the risk of associated co-morbidities and mortalities. Barriers to current evaluation methods may alter the effectiveness of identifying at-risk patients. This preliminary study evaluates the feasibility of using iPhone X-captured videos of swallowing as a non-contact dysphagia screening tool. Video recordings of the anterior and lateral necks were captured simultaneously with videofluoroscopy in dysphagic patients. Videos were analyzed using an image registration algorithm (phase-based Savitzky–Golay gradient correlation (P-SG-GC)) to determine skin displacements over hyolaryngeal regions. Biomechanical swallowing parameters of hyolaryngeal displacement and velocity were also measured. Swallowing safety and efficiency were assessed by the Penetration Aspiration Scale (PAS), Residue Severity Ratings (RSR), and the Normalized Residue Ratio Scale (NRRS). Anterior hyoid excursion and horizontal skin displacements were strongly correlated with swallows of a 20 mL bolus (r s = 0.67). Skin displacements of the neck were moderately to very strongly correlated with scores on the PAS (r s = 0.80), NRRS (r s = 0.41–0.62), and RSR (r s = 0.33). This is the first study to utilize smartphone technology and image registration methods to produce skin displacements indicating post-swallow residual and penetration-aspiration. Enhancing screening methods provides a greater chance of detecting dysphagia, reducing the risk of negative health impacts. Early and accurate dysphagia diagnosis is essential for reducing the risk of associated co-morbidities and mortalities. Barriers to current evaluation methods may alter the effectiveness of identifying at-risk patients. This preliminary study evaluates the feasibility of using iPhone X-captured videos of swallowing as a non-contact dysphagia screening tool. Video recordings of the anterior and lateral necks were captured simultaneously with videofluoroscopy in dysphagic patients. Videos were analyzed using an image registration algorithm (phase-based Savitzky–Golay gradient correlation (P-SG-GC)) to determine skin displacements over hyolaryngeal regions. Biomechanical swallowing parameters of hyolaryngeal displacement and velocity were also measured. Swallowing safety and efficiency were assessed by the Penetration Aspiration Scale (PAS), Residue Severity Ratings (RSR), and the Normalized Residue Ratio Scale (NRRS). Anterior hyoid excursion and horizontal skin displacements were strongly correlated with swallows of a 20 mL bolus (r[sub.s] = 0.67). Skin displacements of the neck were moderately to very strongly correlated with scores on the PAS (r[sub.s] = 0.80), NRRS (r[sub.s] = 0.41–0.62), and RSR (r[sub.s] = 0.33). This is the first study to utilize smartphone technology and image registration methods to produce skin displacements indicating post-swallow residual and penetration-aspiration. Enhancing screening methods provides a greater chance of detecting dysphagia, reducing the risk of negative health impacts. |
Audience | Academic |
Author | Chesney, Nikyta Khwaounjoo, Prashanna Huckabee, Maggie-Lee Cakmak, Yusuf Ozgur |
AuthorAffiliation | 1 Department of Anatomy, University of Otago, Dunedin 9016, New Zealand 3 Auckland Bioengineering Institute, University of Auckland, Auckland 1010, New Zealand 4 Centre for Bioengineering and Nanotechnology, University of Otago, Dunedin 9054, New Zealand 2 Rose Centre for Stroke Recovery and Research, University of Canterbury, Christchurch 8140, New Zealand |
AuthorAffiliation_xml | – name: 2 Rose Centre for Stroke Recovery and Research, University of Canterbury, Christchurch 8140, New Zealand – name: 3 Auckland Bioengineering Institute, University of Auckland, Auckland 1010, New Zealand – name: 1 Department of Anatomy, University of Otago, Dunedin 9016, New Zealand – name: 4 Centre for Bioengineering and Nanotechnology, University of Otago, Dunedin 9054, New Zealand |
Author_xml | – sequence: 1 givenname: Nikyta surname: Chesney fullname: Chesney, Nikyta organization: Rose Centre for Stroke Recovery and Research, University of Canterbury, Christchurch 8140, New Zealand – sequence: 2 givenname: Prashanna surname: Khwaounjoo fullname: Khwaounjoo, Prashanna organization: Auckland Bioengineering Institute, University of Auckland, Auckland 1010, New Zealand – sequence: 3 givenname: Maggie-Lee surname: Huckabee fullname: Huckabee, Maggie-Lee organization: Rose Centre for Stroke Recovery and Research, University of Canterbury, Christchurch 8140, New Zealand – sequence: 4 givenname: Yusuf Ozgur orcidid: 0000-0003-4884-0714 surname: Cakmak fullname: Cakmak, Yusuf Ozgur organization: Centre for Bioengineering and Nanotechnology, University of Otago, Dunedin 9054, New Zealand |
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Keywords | non-contact larynx phase-based Savitzky–Golay gradient correlation image registration algorithm mobile health mobile phone dysphagia penetration aspiration residue remote monitorization |
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SubjectTerms | Algorithms Biomechanics Brain Cameras Deglutition disorders Dysphagia Evaluation Health aspects Image registration image registration algorithm Informed consent Injuries Larynx Medical imaging Mortality Neck non-contact Patients penetration aspiration phase-based Savitzky–Golay gradient correlation Pneumonia Production methods Radiation Residues Risk Skin Smart phones Smartphones Stroke Swallowing Velocity Video |
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Title | Non-Contact Assessment of Swallowing Dysfunction Using Smartphone Captured Skin Displacements |
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