-
Je něco špatně v tomto záznamu ?
Evaluation of Leading Smartwatches for the Detection of Hypoxemia: Comparison to Reference Oximeter
S. Walzel, R. Mikus, V. Rafl-Huttova, M. Rozanek, TE. Bachman, J. Rafl
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
Grantová podpora
SGS22/202/OHK4/3T/17
Czech Technical University in Prague
SGS23/198/OHK4/3T/17
Czech Technical University in Prague
NLK
Directory of Open Access Journals
od 2001
PubMed Central
od 2003
Europe PubMed Central
od 2003
ProQuest Central
od 2001-01-01
Open Access Digital Library
od 2001-01-01
Open Access Digital Library
od 2003-01-01
Health & Medicine (ProQuest)
od 2001-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2001
PubMed
38005550
DOI
10.3390/s23229164
Knihovny.cz E-zdroje
- MeSH
- chronická obstrukční plicní nemoc * MeSH
- hypoxie diagnóza MeSH
- kyslík MeSH
- lidé MeSH
- oxymetrie * metody MeSH
- reprodukovatelnost výsledků MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Although smartwatches are not considered medical devices, experimental validation of their accuracy in detecting hypoxemia is necessary due to their potential use in monitoring conditions manifested by a prolonged decrease in peripheral blood oxygen saturation (SpO2), such as chronic obstructive pulmonary disease, sleep apnea syndrome, and COVID-19, or at high altitudes, e.g., during sport climbing, where the use of finger-sensor-based pulse oximeters may be limited. The aim of this study was to experimentally compare the accuracy of SpO2 measurement of popular smartwatches with a clinically used pulse oximeter according to the requirements of ISO 80601-2-61. Each of the 18 young and healthy participants underwent the experimental assessment three times in randomized order-wearing Apple Watch 8, Samsung Galaxy Watch 5, or Withings ScanWatch-resulting in 54 individual experimental assessments and complete datasets. The accuracy of the SpO2 measurements was compared to that of the Radical-7 (Masimo Corporation, Irvine, CA, USA) during short-term hypoxemia induced by consecutive inhalation of three prepared gas mixtures with reduced oxygen concentrations (14%, 12%, and 10%). All three smartwatch models met the maximum acceptable root-mean-square deviation (≤4%) from the reference measurement at both normal oxygen levels and induced desaturation with SpO2 less than 90%. Apple Watch 8 reached the highest reliability due to its lowest mean bias and root-mean-square deviation, highest Pearson correlation coefficient, and accuracy in detecting hypoxemia. Our findings support the use of smartwatches to reliably detect hypoxemia in situations where the use of standard finger pulse oximeters may be limited.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc24000681
- 003
- CZ-PrNML
- 005
- 20240213093323.0
- 007
- ta
- 008
- 240109s2023 sz f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.3390/s23229164 $2 doi
- 035 __
- $a (PubMed)38005550
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a sz
- 100 1_
- $a Walzel, Simon $u Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic
- 245 10
- $a Evaluation of Leading Smartwatches for the Detection of Hypoxemia: Comparison to Reference Oximeter / $c S. Walzel, R. Mikus, V. Rafl-Huttova, M. Rozanek, TE. Bachman, J. Rafl
- 520 9_
- $a Although smartwatches are not considered medical devices, experimental validation of their accuracy in detecting hypoxemia is necessary due to their potential use in monitoring conditions manifested by a prolonged decrease in peripheral blood oxygen saturation (SpO2), such as chronic obstructive pulmonary disease, sleep apnea syndrome, and COVID-19, or at high altitudes, e.g., during sport climbing, where the use of finger-sensor-based pulse oximeters may be limited. The aim of this study was to experimentally compare the accuracy of SpO2 measurement of popular smartwatches with a clinically used pulse oximeter according to the requirements of ISO 80601-2-61. Each of the 18 young and healthy participants underwent the experimental assessment three times in randomized order-wearing Apple Watch 8, Samsung Galaxy Watch 5, or Withings ScanWatch-resulting in 54 individual experimental assessments and complete datasets. The accuracy of the SpO2 measurements was compared to that of the Radical-7 (Masimo Corporation, Irvine, CA, USA) during short-term hypoxemia induced by consecutive inhalation of three prepared gas mixtures with reduced oxygen concentrations (14%, 12%, and 10%). All three smartwatch models met the maximum acceptable root-mean-square deviation (≤4%) from the reference measurement at both normal oxygen levels and induced desaturation with SpO2 less than 90%. Apple Watch 8 reached the highest reliability due to its lowest mean bias and root-mean-square deviation, highest Pearson correlation coefficient, and accuracy in detecting hypoxemia. Our findings support the use of smartwatches to reliably detect hypoxemia in situations where the use of standard finger pulse oximeters may be limited.
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a reprodukovatelnost výsledků $7 D015203
- 650 12
- $a oxymetrie $x metody $7 D010092
- 650 _2
- $a kyslík $7 D010100
- 650 _2
- $a hypoxie $x diagnóza $7 D000860
- 650 12
- $a chronická obstrukční plicní nemoc $7 D029424
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Mikus, Radek $u Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic
- 700 1_
- $a Rafl-Huttova, Veronika $u Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic $1 https://orcid.org/0000000173705667
- 700 1_
- $a Rozanek, Martin $u Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic $1 https://orcid.org/0000000254857240
- 700 1_
- $a Bachman, Thomas E $u Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic
- 700 1_
- $a Rafl, Jakub $u Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic $1 https://orcid.org/0000000151029354
- 773 0_
- $w MED00008309 $t Sensors $x 1424-8220 $g Roč. 23, č. 22 (2023)
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/38005550 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20240109 $b ABA008
- 991 __
- $a 20240213093320 $b ABA008
- 999 __
- $a ok $b bmc $g 2049365 $s 1210375
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2023 $b 23 $c 22 $e 20231114 $i 1424-8220 $m Sensors $n Sensors Basel $x MED00008309
- GRA __
- $a SGS22/202/OHK4/3T/17 $p Czech Technical University in Prague
- GRA __
- $a SGS23/198/OHK4/3T/17 $p Czech Technical University in Prague
- LZP __
- $a Pubmed-20240109