A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia

Abstract This report presents the Harespod dataset, an open dataset for high altitude hypoxia research, which includes respiration and SpO2 data. The dataset was collected from 15 college students aged 23–31 in a hypobaric oxygen chamber, during simulated altitude changes and induced hypoxia. Real-t...
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Autor*in:	Xi Zhang [verfasserIn] Yu Zhang [verfasserIn] Yingjun Si [verfasserIn] Nan Gao [verfasserIn] Honghao Zhang [verfasserIn] Hui Yang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Übergeordnetes Werk:	In: Scientific Data - Nature Portfolio, 2015, 11(2024), 1, Seite 12
Übergeordnetes Werk:	volume:11 ; year:2024 ; number:1 ; pages:12

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1038/s41597-024-03065-x

Katalog-ID:	DOAJ092189989

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allfields	10.1038/s41597-024-03065-x doi (DE-627)DOAJ092189989 (DE-599)DOAJd31a0604d2db4cabb91e7eed554d3444 DE-627 ger DE-627 rakwb eng Xi Zhang verfasserin aut A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This report presents the Harespod dataset, an open dataset for high altitude hypoxia research, which includes respiration and SpO2 data. The dataset was collected from 15 college students aged 23–31 in a hypobaric oxygen chamber, during simulated altitude changes and induced hypoxia. Real-time physiological data, such as oxygen saturation waveforms, oxygen saturation, respiratory waveforms, heart rate, and pulse rate, were obtained at 100 Hz. Approximately 12 hours of valid data were collected from all participants. Researchers can easily identify the altitude corresponding to physiological signals based on their inherent patterns. Time markers were also recorded during altitude changes to facilitate realistic annotation of physiological signals and analysis of time-difference-of-arrival between various physiological signals for the same altitude change event. In high altitude scenarios, this dataset can be used to enhance the detection of human hypoxia states, predict respiratory waveforms, and develop related hardware devices. It will serve as a valuable and standardized resource for researchers in the field of high altitude hypoxia research, enabling comprehensive analysis and comparison. Science Q Yu Zhang verfasserin aut Yingjun Si verfasserin aut Nan Gao verfasserin aut Honghao Zhang verfasserin aut Hui Yang verfasserin aut In Scientific Data Nature Portfolio, 2015 11(2024), 1, Seite 12 (DE-627)788479601 (DE-600)2775191-0 20524463 nnns volume:11 year:2024 number:1 pages:12 https://doi.org/10.1038/s41597-024-03065-x kostenfrei https://doaj.org/article/d31a0604d2db4cabb91e7eed554d3444 kostenfrei https://doi.org/10.1038/s41597-024-03065-x kostenfrei https://doaj.org/toc/2052-4463 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 11 2024 1 12
spelling	10.1038/s41597-024-03065-x doi (DE-627)DOAJ092189989 (DE-599)DOAJd31a0604d2db4cabb91e7eed554d3444 DE-627 ger DE-627 rakwb eng Xi Zhang verfasserin aut A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This report presents the Harespod dataset, an open dataset for high altitude hypoxia research, which includes respiration and SpO2 data. The dataset was collected from 15 college students aged 23–31 in a hypobaric oxygen chamber, during simulated altitude changes and induced hypoxia. Real-time physiological data, such as oxygen saturation waveforms, oxygen saturation, respiratory waveforms, heart rate, and pulse rate, were obtained at 100 Hz. Approximately 12 hours of valid data were collected from all participants. Researchers can easily identify the altitude corresponding to physiological signals based on their inherent patterns. Time markers were also recorded during altitude changes to facilitate realistic annotation of physiological signals and analysis of time-difference-of-arrival between various physiological signals for the same altitude change event. In high altitude scenarios, this dataset can be used to enhance the detection of human hypoxia states, predict respiratory waveforms, and develop related hardware devices. It will serve as a valuable and standardized resource for researchers in the field of high altitude hypoxia research, enabling comprehensive analysis and comparison. Science Q Yu Zhang verfasserin aut Yingjun Si verfasserin aut Nan Gao verfasserin aut Honghao Zhang verfasserin aut Hui Yang verfasserin aut In Scientific Data Nature Portfolio, 2015 11(2024), 1, Seite 12 (DE-627)788479601 (DE-600)2775191-0 20524463 nnns volume:11 year:2024 number:1 pages:12 https://doi.org/10.1038/s41597-024-03065-x kostenfrei https://doaj.org/article/d31a0604d2db4cabb91e7eed554d3444 kostenfrei https://doi.org/10.1038/s41597-024-03065-x kostenfrei https://doaj.org/toc/2052-4463 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 11 2024 1 12
allfields_unstemmed	10.1038/s41597-024-03065-x doi (DE-627)DOAJ092189989 (DE-599)DOAJd31a0604d2db4cabb91e7eed554d3444 DE-627 ger DE-627 rakwb eng Xi Zhang verfasserin aut A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This report presents the Harespod dataset, an open dataset for high altitude hypoxia research, which includes respiration and SpO2 data. The dataset was collected from 15 college students aged 23–31 in a hypobaric oxygen chamber, during simulated altitude changes and induced hypoxia. Real-time physiological data, such as oxygen saturation waveforms, oxygen saturation, respiratory waveforms, heart rate, and pulse rate, were obtained at 100 Hz. Approximately 12 hours of valid data were collected from all participants. Researchers can easily identify the altitude corresponding to physiological signals based on their inherent patterns. Time markers were also recorded during altitude changes to facilitate realistic annotation of physiological signals and analysis of time-difference-of-arrival between various physiological signals for the same altitude change event. In high altitude scenarios, this dataset can be used to enhance the detection of human hypoxia states, predict respiratory waveforms, and develop related hardware devices. It will serve as a valuable and standardized resource for researchers in the field of high altitude hypoxia research, enabling comprehensive analysis and comparison. Science Q Yu Zhang verfasserin aut Yingjun Si verfasserin aut Nan Gao verfasserin aut Honghao Zhang verfasserin aut Hui Yang verfasserin aut In Scientific Data Nature Portfolio, 2015 11(2024), 1, Seite 12 (DE-627)788479601 (DE-600)2775191-0 20524463 nnns volume:11 year:2024 number:1 pages:12 https://doi.org/10.1038/s41597-024-03065-x kostenfrei https://doaj.org/article/d31a0604d2db4cabb91e7eed554d3444 kostenfrei https://doi.org/10.1038/s41597-024-03065-x kostenfrei https://doaj.org/toc/2052-4463 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 11 2024 1 12
allfieldsGer	10.1038/s41597-024-03065-x doi (DE-627)DOAJ092189989 (DE-599)DOAJd31a0604d2db4cabb91e7eed554d3444 DE-627 ger DE-627 rakwb eng Xi Zhang verfasserin aut A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This report presents the Harespod dataset, an open dataset for high altitude hypoxia research, which includes respiration and SpO2 data. The dataset was collected from 15 college students aged 23–31 in a hypobaric oxygen chamber, during simulated altitude changes and induced hypoxia. Real-time physiological data, such as oxygen saturation waveforms, oxygen saturation, respiratory waveforms, heart rate, and pulse rate, were obtained at 100 Hz. Approximately 12 hours of valid data were collected from all participants. Researchers can easily identify the altitude corresponding to physiological signals based on their inherent patterns. Time markers were also recorded during altitude changes to facilitate realistic annotation of physiological signals and analysis of time-difference-of-arrival between various physiological signals for the same altitude change event. In high altitude scenarios, this dataset can be used to enhance the detection of human hypoxia states, predict respiratory waveforms, and develop related hardware devices. It will serve as a valuable and standardized resource for researchers in the field of high altitude hypoxia research, enabling comprehensive analysis and comparison. Science Q Yu Zhang verfasserin aut Yingjun Si verfasserin aut Nan Gao verfasserin aut Honghao Zhang verfasserin aut Hui Yang verfasserin aut In Scientific Data Nature Portfolio, 2015 11(2024), 1, Seite 12 (DE-627)788479601 (DE-600)2775191-0 20524463 nnns volume:11 year:2024 number:1 pages:12 https://doi.org/10.1038/s41597-024-03065-x kostenfrei https://doaj.org/article/d31a0604d2db4cabb91e7eed554d3444 kostenfrei https://doi.org/10.1038/s41597-024-03065-x kostenfrei https://doaj.org/toc/2052-4463 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 11 2024 1 12
allfieldsSound	10.1038/s41597-024-03065-x doi (DE-627)DOAJ092189989 (DE-599)DOAJd31a0604d2db4cabb91e7eed554d3444 DE-627 ger DE-627 rakwb eng Xi Zhang verfasserin aut A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This report presents the Harespod dataset, an open dataset for high altitude hypoxia research, which includes respiration and SpO2 data. The dataset was collected from 15 college students aged 23–31 in a hypobaric oxygen chamber, during simulated altitude changes and induced hypoxia. Real-time physiological data, such as oxygen saturation waveforms, oxygen saturation, respiratory waveforms, heart rate, and pulse rate, were obtained at 100 Hz. Approximately 12 hours of valid data were collected from all participants. Researchers can easily identify the altitude corresponding to physiological signals based on their inherent patterns. Time markers were also recorded during altitude changes to facilitate realistic annotation of physiological signals and analysis of time-difference-of-arrival between various physiological signals for the same altitude change event. In high altitude scenarios, this dataset can be used to enhance the detection of human hypoxia states, predict respiratory waveforms, and develop related hardware devices. It will serve as a valuable and standardized resource for researchers in the field of high altitude hypoxia research, enabling comprehensive analysis and comparison. Science Q Yu Zhang verfasserin aut Yingjun Si verfasserin aut Nan Gao verfasserin aut Honghao Zhang verfasserin aut Hui Yang verfasserin aut In Scientific Data Nature Portfolio, 2015 11(2024), 1, Seite 12 (DE-627)788479601 (DE-600)2775191-0 20524463 nnns volume:11 year:2024 number:1 pages:12 https://doi.org/10.1038/s41597-024-03065-x kostenfrei https://doaj.org/article/d31a0604d2db4cabb91e7eed554d3444 kostenfrei https://doi.org/10.1038/s41597-024-03065-x kostenfrei https://doaj.org/toc/2052-4463 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 11 2024 1 12
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author	Xi Zhang
spellingShingle	Xi Zhang misc Science misc Q A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia
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topic_title	A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia
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title	A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia
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title_full	A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia
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title_sort	high altitude respiration and spo2 dataset for assessing the human response to hypoxia
title_auth	A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia
abstract	Abstract This report presents the Harespod dataset, an open dataset for high altitude hypoxia research, which includes respiration and SpO2 data. The dataset was collected from 15 college students aged 23–31 in a hypobaric oxygen chamber, during simulated altitude changes and induced hypoxia. Real-time physiological data, such as oxygen saturation waveforms, oxygen saturation, respiratory waveforms, heart rate, and pulse rate, were obtained at 100 Hz. Approximately 12 hours of valid data were collected from all participants. Researchers can easily identify the altitude corresponding to physiological signals based on their inherent patterns. Time markers were also recorded during altitude changes to facilitate realistic annotation of physiological signals and analysis of time-difference-of-arrival between various physiological signals for the same altitude change event. In high altitude scenarios, this dataset can be used to enhance the detection of human hypoxia states, predict respiratory waveforms, and develop related hardware devices. It will serve as a valuable and standardized resource for researchers in the field of high altitude hypoxia research, enabling comprehensive analysis and comparison.
abstractGer	Abstract This report presents the Harespod dataset, an open dataset for high altitude hypoxia research, which includes respiration and SpO2 data. The dataset was collected from 15 college students aged 23–31 in a hypobaric oxygen chamber, during simulated altitude changes and induced hypoxia. Real-time physiological data, such as oxygen saturation waveforms, oxygen saturation, respiratory waveforms, heart rate, and pulse rate, were obtained at 100 Hz. Approximately 12 hours of valid data were collected from all participants. Researchers can easily identify the altitude corresponding to physiological signals based on their inherent patterns. Time markers were also recorded during altitude changes to facilitate realistic annotation of physiological signals and analysis of time-difference-of-arrival between various physiological signals for the same altitude change event. In high altitude scenarios, this dataset can be used to enhance the detection of human hypoxia states, predict respiratory waveforms, and develop related hardware devices. It will serve as a valuable and standardized resource for researchers in the field of high altitude hypoxia research, enabling comprehensive analysis and comparison.
abstract_unstemmed	Abstract This report presents the Harespod dataset, an open dataset for high altitude hypoxia research, which includes respiration and SpO2 data. The dataset was collected from 15 college students aged 23–31 in a hypobaric oxygen chamber, during simulated altitude changes and induced hypoxia. Real-time physiological data, such as oxygen saturation waveforms, oxygen saturation, respiratory waveforms, heart rate, and pulse rate, were obtained at 100 Hz. Approximately 12 hours of valid data were collected from all participants. Researchers can easily identify the altitude corresponding to physiological signals based on their inherent patterns. Time markers were also recorded during altitude changes to facilitate realistic annotation of physiological signals and analysis of time-difference-of-arrival between various physiological signals for the same altitude change event. In high altitude scenarios, this dataset can be used to enhance the detection of human hypoxia states, predict respiratory waveforms, and develop related hardware devices. It will serve as a valuable and standardized resource for researchers in the field of high altitude hypoxia research, enabling comprehensive analysis and comparison.
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title_short	A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia
url	https://doi.org/10.1038/s41597-024-03065-x https://doaj.org/article/d31a0604d2db4cabb91e7eed554d3444 https://doaj.org/toc/2052-4463
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A high altitude respiration and SpO2 dataset for assessing the human response to hypoxia

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