Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system
Abstract Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Harte, James M. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2016 |
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| Übergeordnetes Werk: |
Enthalten in: Medical & biological engineering & computing - Springer Berlin Heidelberg, 1977, 54(2016), 11 vom: 13. Feb., Seite 1631-1640 |
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| Übergeordnetes Werk: |
volume:54 ; year:2016 ; number:11 ; day:13 ; month:02 ; pages:1631-1640 |
| Links: |
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| DOI / URN: |
10.1007/s11517-015-1433-1 |
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| Katalog-ID: |
OLC2038695369 |
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| 245 | 1 | 0 | |a Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system |
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| 520 | |a Abstract Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost devices for rapid assessment. Spirometry is used to measure air flow expired, but cannot infer or directly measure full chest wall motion. This paper presents the development of a low-cost chest wall motion assessment system. The prototype was developed using four Microsoft Kinect sensors to create a 3D time-varying representation of a patient’s torso. An evaluation of the system in two phases is also presented. Initially, static volume of a resuscitation mannequin with that of a Nikon laser scanner is performed. This showed the system has slight underprediction of 0.441 %. Next, a dynamic analysis through the comparison of results from the prototype and a spirometer in nine cystic fibrosis patients and thirteen healthy subjects was performed. This showed an agreement with correlation coefficients above 0.8656 in all participants. The system shows promise as a method for assessing respiratory disease in a cost-effective and timely manner. Further work must now be performed to develop the prototype and provide further evaluations. | ||
| 650 | 4 | |a Thoracic wall | |
| 650 | 4 | |a Chest wall | |
| 650 | 4 | |a Thoracic surgery | |
| 650 | 4 | |a Respiratory system diagnostic technique | |
| 650 | 4 | |a Medical device design | |
| 700 | 1 | |a Golby, Christopher K. |0 (orcid)0000-0001-6825-5673 |4 aut | |
| 700 | 1 | |a Acosta, Johanna |4 aut | |
| 700 | 1 | |a Nash, Edward F. |4 aut | |
| 700 | 1 | |a Kiraci, Ercihan |4 aut | |
| 700 | 1 | |a Williams, Mark A. |4 aut | |
| 700 | 1 | |a Arvanitis, Theodoros N. |4 aut | |
| 700 | 1 | |a Naidu, Babu |4 aut | |
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10.1007/s11517-015-1433-1 doi (DE-627)OLC2038695369 (DE-He213)s11517-015-1433-1-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Harte, James M. verfasserin aut Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2016 Abstract Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost devices for rapid assessment. Spirometry is used to measure air flow expired, but cannot infer or directly measure full chest wall motion. This paper presents the development of a low-cost chest wall motion assessment system. The prototype was developed using four Microsoft Kinect sensors to create a 3D time-varying representation of a patient’s torso. An evaluation of the system in two phases is also presented. Initially, static volume of a resuscitation mannequin with that of a Nikon laser scanner is performed. This showed the system has slight underprediction of 0.441 %. Next, a dynamic analysis through the comparison of results from the prototype and a spirometer in nine cystic fibrosis patients and thirteen healthy subjects was performed. This showed an agreement with correlation coefficients above 0.8656 in all participants. The system shows promise as a method for assessing respiratory disease in a cost-effective and timely manner. Further work must now be performed to develop the prototype and provide further evaluations. Thoracic wall Chest wall Thoracic surgery Respiratory system diagnostic technique Medical device design Golby, Christopher K. (orcid)0000-0001-6825-5673 aut Acosta, Johanna aut Nash, Edward F. aut Kiraci, Ercihan aut Williams, Mark A. aut Arvanitis, Theodoros N. aut Naidu, Babu aut Enthalten in Medical & biological engineering & computing Springer Berlin Heidelberg, 1977 54(2016), 11 vom: 13. Feb., Seite 1631-1640 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:54 year:2016 number:11 day:13 month:02 pages:1631-1640 https://doi.org/10.1007/s11517-015-1433-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4219 AR 54 2016 11 13 02 1631-1640 |
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10.1007/s11517-015-1433-1 doi (DE-627)OLC2038695369 (DE-He213)s11517-015-1433-1-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Harte, James M. verfasserin aut Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2016 Abstract Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost devices for rapid assessment. Spirometry is used to measure air flow expired, but cannot infer or directly measure full chest wall motion. This paper presents the development of a low-cost chest wall motion assessment system. The prototype was developed using four Microsoft Kinect sensors to create a 3D time-varying representation of a patient’s torso. An evaluation of the system in two phases is also presented. Initially, static volume of a resuscitation mannequin with that of a Nikon laser scanner is performed. This showed the system has slight underprediction of 0.441 %. Next, a dynamic analysis through the comparison of results from the prototype and a spirometer in nine cystic fibrosis patients and thirteen healthy subjects was performed. This showed an agreement with correlation coefficients above 0.8656 in all participants. The system shows promise as a method for assessing respiratory disease in a cost-effective and timely manner. Further work must now be performed to develop the prototype and provide further evaluations. Thoracic wall Chest wall Thoracic surgery Respiratory system diagnostic technique Medical device design Golby, Christopher K. (orcid)0000-0001-6825-5673 aut Acosta, Johanna aut Nash, Edward F. aut Kiraci, Ercihan aut Williams, Mark A. aut Arvanitis, Theodoros N. aut Naidu, Babu aut Enthalten in Medical & biological engineering & computing Springer Berlin Heidelberg, 1977 54(2016), 11 vom: 13. Feb., Seite 1631-1640 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:54 year:2016 number:11 day:13 month:02 pages:1631-1640 https://doi.org/10.1007/s11517-015-1433-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4219 AR 54 2016 11 13 02 1631-1640 |
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10.1007/s11517-015-1433-1 doi (DE-627)OLC2038695369 (DE-He213)s11517-015-1433-1-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Harte, James M. verfasserin aut Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2016 Abstract Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost devices for rapid assessment. Spirometry is used to measure air flow expired, but cannot infer or directly measure full chest wall motion. This paper presents the development of a low-cost chest wall motion assessment system. The prototype was developed using four Microsoft Kinect sensors to create a 3D time-varying representation of a patient’s torso. An evaluation of the system in two phases is also presented. Initially, static volume of a resuscitation mannequin with that of a Nikon laser scanner is performed. This showed the system has slight underprediction of 0.441 %. Next, a dynamic analysis through the comparison of results from the prototype and a spirometer in nine cystic fibrosis patients and thirteen healthy subjects was performed. This showed an agreement with correlation coefficients above 0.8656 in all participants. The system shows promise as a method for assessing respiratory disease in a cost-effective and timely manner. Further work must now be performed to develop the prototype and provide further evaluations. Thoracic wall Chest wall Thoracic surgery Respiratory system diagnostic technique Medical device design Golby, Christopher K. (orcid)0000-0001-6825-5673 aut Acosta, Johanna aut Nash, Edward F. aut Kiraci, Ercihan aut Williams, Mark A. aut Arvanitis, Theodoros N. aut Naidu, Babu aut Enthalten in Medical & biological engineering & computing Springer Berlin Heidelberg, 1977 54(2016), 11 vom: 13. Feb., Seite 1631-1640 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:54 year:2016 number:11 day:13 month:02 pages:1631-1640 https://doi.org/10.1007/s11517-015-1433-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4219 AR 54 2016 11 13 02 1631-1640 |
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10.1007/s11517-015-1433-1 doi (DE-627)OLC2038695369 (DE-He213)s11517-015-1433-1-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Harte, James M. verfasserin aut Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2016 Abstract Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost devices for rapid assessment. Spirometry is used to measure air flow expired, but cannot infer or directly measure full chest wall motion. This paper presents the development of a low-cost chest wall motion assessment system. The prototype was developed using four Microsoft Kinect sensors to create a 3D time-varying representation of a patient’s torso. An evaluation of the system in two phases is also presented. Initially, static volume of a resuscitation mannequin with that of a Nikon laser scanner is performed. This showed the system has slight underprediction of 0.441 %. Next, a dynamic analysis through the comparison of results from the prototype and a spirometer in nine cystic fibrosis patients and thirteen healthy subjects was performed. This showed an agreement with correlation coefficients above 0.8656 in all participants. The system shows promise as a method for assessing respiratory disease in a cost-effective and timely manner. Further work must now be performed to develop the prototype and provide further evaluations. Thoracic wall Chest wall Thoracic surgery Respiratory system diagnostic technique Medical device design Golby, Christopher K. (orcid)0000-0001-6825-5673 aut Acosta, Johanna aut Nash, Edward F. aut Kiraci, Ercihan aut Williams, Mark A. aut Arvanitis, Theodoros N. aut Naidu, Babu aut Enthalten in Medical & biological engineering & computing Springer Berlin Heidelberg, 1977 54(2016), 11 vom: 13. Feb., Seite 1631-1640 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:54 year:2016 number:11 day:13 month:02 pages:1631-1640 https://doi.org/10.1007/s11517-015-1433-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4219 AR 54 2016 11 13 02 1631-1640 |
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10.1007/s11517-015-1433-1 doi (DE-627)OLC2038695369 (DE-He213)s11517-015-1433-1-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Harte, James M. verfasserin aut Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2016 Abstract Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost devices for rapid assessment. Spirometry is used to measure air flow expired, but cannot infer or directly measure full chest wall motion. This paper presents the development of a low-cost chest wall motion assessment system. The prototype was developed using four Microsoft Kinect sensors to create a 3D time-varying representation of a patient’s torso. An evaluation of the system in two phases is also presented. Initially, static volume of a resuscitation mannequin with that of a Nikon laser scanner is performed. This showed the system has slight underprediction of 0.441 %. Next, a dynamic analysis through the comparison of results from the prototype and a spirometer in nine cystic fibrosis patients and thirteen healthy subjects was performed. This showed an agreement with correlation coefficients above 0.8656 in all participants. The system shows promise as a method for assessing respiratory disease in a cost-effective and timely manner. Further work must now be performed to develop the prototype and provide further evaluations. Thoracic wall Chest wall Thoracic surgery Respiratory system diagnostic technique Medical device design Golby, Christopher K. (orcid)0000-0001-6825-5673 aut Acosta, Johanna aut Nash, Edward F. aut Kiraci, Ercihan aut Williams, Mark A. aut Arvanitis, Theodoros N. aut Naidu, Babu aut Enthalten in Medical & biological engineering & computing Springer Berlin Heidelberg, 1977 54(2016), 11 vom: 13. Feb., Seite 1631-1640 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:54 year:2016 number:11 day:13 month:02 pages:1631-1640 https://doi.org/10.1007/s11517-015-1433-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4219 AR 54 2016 11 13 02 1631-1640 |
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chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel kinect-based motion tracking system |
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Chest wall motion analysis in healthy volunteers and adults with cystic fibrosis using a novel Kinect-based motion tracking system |
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Abstract Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost devices for rapid assessment. Spirometry is used to measure air flow expired, but cannot infer or directly measure full chest wall motion. This paper presents the development of a low-cost chest wall motion assessment system. The prototype was developed using four Microsoft Kinect sensors to create a 3D time-varying representation of a patient’s torso. An evaluation of the system in two phases is also presented. Initially, static volume of a resuscitation mannequin with that of a Nikon laser scanner is performed. This showed the system has slight underprediction of 0.441 %. Next, a dynamic analysis through the comparison of results from the prototype and a spirometer in nine cystic fibrosis patients and thirteen healthy subjects was performed. This showed an agreement with correlation coefficients above 0.8656 in all participants. The system shows promise as a method for assessing respiratory disease in a cost-effective and timely manner. Further work must now be performed to develop the prototype and provide further evaluations. © The Author(s) 2016 |
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Abstract Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost devices for rapid assessment. Spirometry is used to measure air flow expired, but cannot infer or directly measure full chest wall motion. This paper presents the development of a low-cost chest wall motion assessment system. The prototype was developed using four Microsoft Kinect sensors to create a 3D time-varying representation of a patient’s torso. An evaluation of the system in two phases is also presented. Initially, static volume of a resuscitation mannequin with that of a Nikon laser scanner is performed. This showed the system has slight underprediction of 0.441 %. Next, a dynamic analysis through the comparison of results from the prototype and a spirometer in nine cystic fibrosis patients and thirteen healthy subjects was performed. This showed an agreement with correlation coefficients above 0.8656 in all participants. The system shows promise as a method for assessing respiratory disease in a cost-effective and timely manner. Further work must now be performed to develop the prototype and provide further evaluations. © The Author(s) 2016 |
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Abstract Respiratory disease is the leading cause of death in the UK. Methods for assessing pulmonary function and chest wall movement are essential for accurate diagnosis, as well as monitoring response to treatment, operative procedures and rehabilitation. Despite this, there is a lack of low-cost devices for rapid assessment. Spirometry is used to measure air flow expired, but cannot infer or directly measure full chest wall motion. This paper presents the development of a low-cost chest wall motion assessment system. The prototype was developed using four Microsoft Kinect sensors to create a 3D time-varying representation of a patient’s torso. An evaluation of the system in two phases is also presented. Initially, static volume of a resuscitation mannequin with that of a Nikon laser scanner is performed. This showed the system has slight underprediction of 0.441 %. Next, a dynamic analysis through the comparison of results from the prototype and a spirometer in nine cystic fibrosis patients and thirteen healthy subjects was performed. This showed an agreement with correlation coefficients above 0.8656 in all participants. The system shows promise as a method for assessing respiratory disease in a cost-effective and timely manner. Further work must now be performed to develop the prototype and provide further evaluations. © The Author(s) 2016 |
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