Automated apnoea detection by computer: analysis of tracheal breath sounds
Abstract Recent interest in the occurrence of sleep apnoea has brought about the development of several methods of detecting apnoeas. Complete polygraphic evaluation of sleep involves considerable equipment, expense, and personnel time for the collection and analysis of the data. Not infrequently th...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Peirick, J. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1983 |
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| Schlagwörter: |
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| Anmerkung: |
© IFMBE 1983 |
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| Übergeordnetes Werk: |
Enthalten in: Medical & biological engineering & computing - Kluwer Academic Publishers, 1977, 21(1983), 5 vom: Sept., Seite 632-635 |
|---|---|
| Übergeordnetes Werk: |
volume:21 ; year:1983 ; number:5 ; month:09 ; pages:632-635 |
| Links: |
|---|
| DOI / URN: |
10.1007/BF02442390 |
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| Katalog-ID: |
OLC2038656495 |
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| 245 | 1 | 0 | |a Automated apnoea detection by computer: analysis of tracheal breath sounds |
| 264 | 1 | |c 1983 | |
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| 520 | |a Abstract Recent interest in the occurrence of sleep apnoea has brought about the development of several methods of detecting apnoeas. Complete polygraphic evaluation of sleep involves considerable equipment, expense, and personnel time for the collection and analysis of the data. Not infrequently these results will indicate that a patient has an insufficient number of apnoeic events to clinically impair health, thus yielding little information at great expense. This being the case, an automated method of reliably evaluating patients for sleep apnoea using a minimum of apnoea detection equipment and personnel time would be clinically useful. Such a method has been devised, using tracheal sound as the physiological indicator of apnoea. Treacheal sound is monitored by a microcomputer, which detects periods of low tracheal sound corresponding to a lack of airflow. Periods of low tracheal sound which last 10 s or longer are recorded overnight and stored for review by the user at any time. This tracheal sound method of apnoea detection has been compared with data obtained during polygraphic sleep studies utilising thermistors to detect airflow and an ear oximeter to monitor arterial oxygen saturation. The results compare favorably, and although tracheal sound detection introduces some error into apnoea detection, it can be seen that tracheal sound detection can be a useful screening tool to indicate patients in need of more detailed sleep study. | ||
| 650 | 4 | |a Apnoea detection | |
| 650 | 4 | |a Sleep apnoea | |
| 650 | 4 | |a Tracheal sound analysis | |
| 700 | 1 | |a Shepard, J. W. |4 aut | |
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10.1007/BF02442390 doi (DE-627)OLC2038656495 (DE-He213)BF02442390-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Peirick, J. verfasserin aut Automated apnoea detection by computer: analysis of tracheal breath sounds 1983 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © IFMBE 1983 Abstract Recent interest in the occurrence of sleep apnoea has brought about the development of several methods of detecting apnoeas. Complete polygraphic evaluation of sleep involves considerable equipment, expense, and personnel time for the collection and analysis of the data. Not infrequently these results will indicate that a patient has an insufficient number of apnoeic events to clinically impair health, thus yielding little information at great expense. This being the case, an automated method of reliably evaluating patients for sleep apnoea using a minimum of apnoea detection equipment and personnel time would be clinically useful. Such a method has been devised, using tracheal sound as the physiological indicator of apnoea. Treacheal sound is monitored by a microcomputer, which detects periods of low tracheal sound corresponding to a lack of airflow. Periods of low tracheal sound which last 10 s or longer are recorded overnight and stored for review by the user at any time. This tracheal sound method of apnoea detection has been compared with data obtained during polygraphic sleep studies utilising thermistors to detect airflow and an ear oximeter to monitor arterial oxygen saturation. The results compare favorably, and although tracheal sound detection introduces some error into apnoea detection, it can be seen that tracheal sound detection can be a useful screening tool to indicate patients in need of more detailed sleep study. Apnoea detection Sleep apnoea Tracheal sound analysis Shepard, J. W. aut Enthalten in Medical & biological engineering & computing Kluwer Academic Publishers, 1977 21(1983), 5 vom: Sept., Seite 632-635 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:21 year:1983 number:5 month:09 pages:632-635 https://doi.org/10.1007/BF02442390 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_11 GBV_ILN_32 GBV_ILN_34 GBV_ILN_55 GBV_ILN_65 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2021 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4035 GBV_ILN_4046 GBV_ILN_4219 GBV_ILN_4306 GBV_ILN_4700 AR 21 1983 5 09 632-635 |
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10.1007/BF02442390 doi (DE-627)OLC2038656495 (DE-He213)BF02442390-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Peirick, J. verfasserin aut Automated apnoea detection by computer: analysis of tracheal breath sounds 1983 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © IFMBE 1983 Abstract Recent interest in the occurrence of sleep apnoea has brought about the development of several methods of detecting apnoeas. Complete polygraphic evaluation of sleep involves considerable equipment, expense, and personnel time for the collection and analysis of the data. Not infrequently these results will indicate that a patient has an insufficient number of apnoeic events to clinically impair health, thus yielding little information at great expense. This being the case, an automated method of reliably evaluating patients for sleep apnoea using a minimum of apnoea detection equipment and personnel time would be clinically useful. Such a method has been devised, using tracheal sound as the physiological indicator of apnoea. Treacheal sound is monitored by a microcomputer, which detects periods of low tracheal sound corresponding to a lack of airflow. Periods of low tracheal sound which last 10 s or longer are recorded overnight and stored for review by the user at any time. This tracheal sound method of apnoea detection has been compared with data obtained during polygraphic sleep studies utilising thermistors to detect airflow and an ear oximeter to monitor arterial oxygen saturation. The results compare favorably, and although tracheal sound detection introduces some error into apnoea detection, it can be seen that tracheal sound detection can be a useful screening tool to indicate patients in need of more detailed sleep study. Apnoea detection Sleep apnoea Tracheal sound analysis Shepard, J. W. aut Enthalten in Medical & biological engineering & computing Kluwer Academic Publishers, 1977 21(1983), 5 vom: Sept., Seite 632-635 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:21 year:1983 number:5 month:09 pages:632-635 https://doi.org/10.1007/BF02442390 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_11 GBV_ILN_32 GBV_ILN_34 GBV_ILN_55 GBV_ILN_65 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2021 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4035 GBV_ILN_4046 GBV_ILN_4219 GBV_ILN_4306 GBV_ILN_4700 AR 21 1983 5 09 632-635 |
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10.1007/BF02442390 doi (DE-627)OLC2038656495 (DE-He213)BF02442390-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Peirick, J. verfasserin aut Automated apnoea detection by computer: analysis of tracheal breath sounds 1983 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © IFMBE 1983 Abstract Recent interest in the occurrence of sleep apnoea has brought about the development of several methods of detecting apnoeas. Complete polygraphic evaluation of sleep involves considerable equipment, expense, and personnel time for the collection and analysis of the data. Not infrequently these results will indicate that a patient has an insufficient number of apnoeic events to clinically impair health, thus yielding little information at great expense. This being the case, an automated method of reliably evaluating patients for sleep apnoea using a minimum of apnoea detection equipment and personnel time would be clinically useful. Such a method has been devised, using tracheal sound as the physiological indicator of apnoea. Treacheal sound is monitored by a microcomputer, which detects periods of low tracheal sound corresponding to a lack of airflow. Periods of low tracheal sound which last 10 s or longer are recorded overnight and stored for review by the user at any time. This tracheal sound method of apnoea detection has been compared with data obtained during polygraphic sleep studies utilising thermistors to detect airflow and an ear oximeter to monitor arterial oxygen saturation. The results compare favorably, and although tracheal sound detection introduces some error into apnoea detection, it can be seen that tracheal sound detection can be a useful screening tool to indicate patients in need of more detailed sleep study. Apnoea detection Sleep apnoea Tracheal sound analysis Shepard, J. W. aut Enthalten in Medical & biological engineering & computing Kluwer Academic Publishers, 1977 21(1983), 5 vom: Sept., Seite 632-635 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:21 year:1983 number:5 month:09 pages:632-635 https://doi.org/10.1007/BF02442390 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_11 GBV_ILN_32 GBV_ILN_34 GBV_ILN_55 GBV_ILN_65 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2021 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4035 GBV_ILN_4046 GBV_ILN_4219 GBV_ILN_4306 GBV_ILN_4700 AR 21 1983 5 09 632-635 |
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10.1007/BF02442390 doi (DE-627)OLC2038656495 (DE-He213)BF02442390-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Peirick, J. verfasserin aut Automated apnoea detection by computer: analysis of tracheal breath sounds 1983 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © IFMBE 1983 Abstract Recent interest in the occurrence of sleep apnoea has brought about the development of several methods of detecting apnoeas. Complete polygraphic evaluation of sleep involves considerable equipment, expense, and personnel time for the collection and analysis of the data. Not infrequently these results will indicate that a patient has an insufficient number of apnoeic events to clinically impair health, thus yielding little information at great expense. This being the case, an automated method of reliably evaluating patients for sleep apnoea using a minimum of apnoea detection equipment and personnel time would be clinically useful. Such a method has been devised, using tracheal sound as the physiological indicator of apnoea. Treacheal sound is monitored by a microcomputer, which detects periods of low tracheal sound corresponding to a lack of airflow. Periods of low tracheal sound which last 10 s or longer are recorded overnight and stored for review by the user at any time. This tracheal sound method of apnoea detection has been compared with data obtained during polygraphic sleep studies utilising thermistors to detect airflow and an ear oximeter to monitor arterial oxygen saturation. The results compare favorably, and although tracheal sound detection introduces some error into apnoea detection, it can be seen that tracheal sound detection can be a useful screening tool to indicate patients in need of more detailed sleep study. Apnoea detection Sleep apnoea Tracheal sound analysis Shepard, J. W. aut Enthalten in Medical & biological engineering & computing Kluwer Academic Publishers, 1977 21(1983), 5 vom: Sept., Seite 632-635 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:21 year:1983 number:5 month:09 pages:632-635 https://doi.org/10.1007/BF02442390 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_11 GBV_ILN_32 GBV_ILN_34 GBV_ILN_55 GBV_ILN_65 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2021 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4035 GBV_ILN_4046 GBV_ILN_4219 GBV_ILN_4306 GBV_ILN_4700 AR 21 1983 5 09 632-635 |
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10.1007/BF02442390 doi (DE-627)OLC2038656495 (DE-He213)BF02442390-p DE-627 ger DE-627 rakwb eng 610 660 570 VZ 12 ssgn Peirick, J. verfasserin aut Automated apnoea detection by computer: analysis of tracheal breath sounds 1983 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © IFMBE 1983 Abstract Recent interest in the occurrence of sleep apnoea has brought about the development of several methods of detecting apnoeas. Complete polygraphic evaluation of sleep involves considerable equipment, expense, and personnel time for the collection and analysis of the data. Not infrequently these results will indicate that a patient has an insufficient number of apnoeic events to clinically impair health, thus yielding little information at great expense. This being the case, an automated method of reliably evaluating patients for sleep apnoea using a minimum of apnoea detection equipment and personnel time would be clinically useful. Such a method has been devised, using tracheal sound as the physiological indicator of apnoea. Treacheal sound is monitored by a microcomputer, which detects periods of low tracheal sound corresponding to a lack of airflow. Periods of low tracheal sound which last 10 s or longer are recorded overnight and stored for review by the user at any time. This tracheal sound method of apnoea detection has been compared with data obtained during polygraphic sleep studies utilising thermistors to detect airflow and an ear oximeter to monitor arterial oxygen saturation. The results compare favorably, and although tracheal sound detection introduces some error into apnoea detection, it can be seen that tracheal sound detection can be a useful screening tool to indicate patients in need of more detailed sleep study. Apnoea detection Sleep apnoea Tracheal sound analysis Shepard, J. W. aut Enthalten in Medical & biological engineering & computing Kluwer Academic Publishers, 1977 21(1983), 5 vom: Sept., Seite 632-635 (DE-627)129858552 (DE-600)282327-5 (DE-576)015165507 0140-0118 nnns volume:21 year:1983 number:5 month:09 pages:632-635 https://doi.org/10.1007/BF02442390 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_11 GBV_ILN_32 GBV_ILN_34 GBV_ILN_55 GBV_ILN_65 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2021 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4035 GBV_ILN_4046 GBV_ILN_4219 GBV_ILN_4306 GBV_ILN_4700 AR 21 1983 5 09 632-635 |
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Abstract Recent interest in the occurrence of sleep apnoea has brought about the development of several methods of detecting apnoeas. Complete polygraphic evaluation of sleep involves considerable equipment, expense, and personnel time for the collection and analysis of the data. Not infrequently these results will indicate that a patient has an insufficient number of apnoeic events to clinically impair health, thus yielding little information at great expense. This being the case, an automated method of reliably evaluating patients for sleep apnoea using a minimum of apnoea detection equipment and personnel time would be clinically useful. Such a method has been devised, using tracheal sound as the physiological indicator of apnoea. Treacheal sound is monitored by a microcomputer, which detects periods of low tracheal sound corresponding to a lack of airflow. Periods of low tracheal sound which last 10 s or longer are recorded overnight and stored for review by the user at any time. This tracheal sound method of apnoea detection has been compared with data obtained during polygraphic sleep studies utilising thermistors to detect airflow and an ear oximeter to monitor arterial oxygen saturation. The results compare favorably, and although tracheal sound detection introduces some error into apnoea detection, it can be seen that tracheal sound detection can be a useful screening tool to indicate patients in need of more detailed sleep study. © IFMBE 1983 |
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Abstract Recent interest in the occurrence of sleep apnoea has brought about the development of several methods of detecting apnoeas. Complete polygraphic evaluation of sleep involves considerable equipment, expense, and personnel time for the collection and analysis of the data. Not infrequently these results will indicate that a patient has an insufficient number of apnoeic events to clinically impair health, thus yielding little information at great expense. This being the case, an automated method of reliably evaluating patients for sleep apnoea using a minimum of apnoea detection equipment and personnel time would be clinically useful. Such a method has been devised, using tracheal sound as the physiological indicator of apnoea. Treacheal sound is monitored by a microcomputer, which detects periods of low tracheal sound corresponding to a lack of airflow. Periods of low tracheal sound which last 10 s or longer are recorded overnight and stored for review by the user at any time. This tracheal sound method of apnoea detection has been compared with data obtained during polygraphic sleep studies utilising thermistors to detect airflow and an ear oximeter to monitor arterial oxygen saturation. The results compare favorably, and although tracheal sound detection introduces some error into apnoea detection, it can be seen that tracheal sound detection can be a useful screening tool to indicate patients in need of more detailed sleep study. © IFMBE 1983 |
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Abstract Recent interest in the occurrence of sleep apnoea has brought about the development of several methods of detecting apnoeas. Complete polygraphic evaluation of sleep involves considerable equipment, expense, and personnel time for the collection and analysis of the data. Not infrequently these results will indicate that a patient has an insufficient number of apnoeic events to clinically impair health, thus yielding little information at great expense. This being the case, an automated method of reliably evaluating patients for sleep apnoea using a minimum of apnoea detection equipment and personnel time would be clinically useful. Such a method has been devised, using tracheal sound as the physiological indicator of apnoea. Treacheal sound is monitored by a microcomputer, which detects periods of low tracheal sound corresponding to a lack of airflow. Periods of low tracheal sound which last 10 s or longer are recorded overnight and stored for review by the user at any time. This tracheal sound method of apnoea detection has been compared with data obtained during polygraphic sleep studies utilising thermistors to detect airflow and an ear oximeter to monitor arterial oxygen saturation. The results compare favorably, and although tracheal sound detection introduces some error into apnoea detection, it can be seen that tracheal sound detection can be a useful screening tool to indicate patients in need of more detailed sleep study. © IFMBE 1983 |
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