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Illustrative drawings of measurement scenes by a <t>smartphone</t> (iPhone) (A) and a conventional cuff-based sphygmomanometer (B).
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Illustrative drawings of measurement scenes by a <t>smartphone</t> (iPhone) (A) and a conventional cuff-based sphygmomanometer (B).
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Image Search Results


Illustrative drawings of measurement scenes by a smartphone (iPhone) (A) and a conventional cuff-based sphygmomanometer (B).

Journal: PeerJ

Article Title: Cuffless blood pressure estimation based on haemodynamic principles: progress towards mobile healthcare

doi: 10.7717/peerj.11479

Figure Lengend Snippet: Illustrative drawings of measurement scenes by a smartphone (iPhone) (A) and a conventional cuff-based sphygmomanometer (B).

Article Snippet: All participants had their own smartphone, including iPhone 7, 8, X, XS, 11 and 11 Pro (Apple Inc., Cupertino, U.S.A.).

Techniques:

Accuracy of estimated values obtained with the proposed method. Scatterplots of SBP (A), MAP (B), DBP (C) and total BP (including all of S BP , MBP and DBP ) values (D) estimated using a smartphone against the values determined with a brachial cuff sphygmomanometer ( n = 299 for SBP , MBP and DBP and n = 897 for total). Lines of identity (solid orange lines), regression lines (solid black lines) and regression formula together with the coefficient of determination R 2 and the correlation coefficient r values are shown in each scatterplot. Corresponding Bland–Altman plots of SBP (E), MAP (F), DBP (G) and total BP values (H). Solid and dashed lines represent the fixed bias and the limits of agreement (bias ± 1.96 S.D .). ( S.D .: standard deviation), respectively. Average = (brachial + estimate)/2, Difference = brachial − estimate. Pearson’s r values are also presented in each graph.

Journal: PeerJ

Article Title: Cuffless blood pressure estimation based on haemodynamic principles: progress towards mobile healthcare

doi: 10.7717/peerj.11479

Figure Lengend Snippet: Accuracy of estimated values obtained with the proposed method. Scatterplots of SBP (A), MAP (B), DBP (C) and total BP (including all of S BP , MBP and DBP ) values (D) estimated using a smartphone against the values determined with a brachial cuff sphygmomanometer ( n = 299 for SBP , MBP and DBP and n = 897 for total). Lines of identity (solid orange lines), regression lines (solid black lines) and regression formula together with the coefficient of determination R 2 and the correlation coefficient r values are shown in each scatterplot. Corresponding Bland–Altman plots of SBP (E), MAP (F), DBP (G) and total BP values (H). Solid and dashed lines represent the fixed bias and the limits of agreement (bias ± 1.96 S.D .). ( S.D .: standard deviation), respectively. Average = (brachial + estimate)/2, Difference = brachial − estimate. Pearson’s r values are also presented in each graph.

Article Snippet: All participants had their own smartphone, including iPhone 7, 8, X, XS, 11 and 11 Pro (Apple Inc., Cupertino, U.S.A.).

Techniques: Standard Deviation

Banana skin color was captured in two ways: using a spectrometer ( A ) and using a smartphone camera with a light box ( B ).

Journal: Sensors (Basel, Switzerland)

Article Title: Developing a Colorimetric Equation and a Colorimetric Model to Create a Smartphone Application That Identifies the Ripening Stage of Lady Finger Bananas in Thailand

doi: 10.3390/s23146387

Figure Lengend Snippet: Banana skin color was captured in two ways: using a spectrometer ( A ) and using a smartphone camera with a light box ( B ).

Article Snippet: Testing was carried out using a spectrometer (BLUE-Wave model, StellarNet Inc., Tampa, FL, USA) for collection of banana skin color and a smartphone (iPhone XS Max, Apple, Cupertino, CA, USA, with IOS 14.6) [ ]. shows a schematic diagram of the five steps involved in development of this application.

Techniques:

Theta results from the spectrometer are compared with those from the corresponding smartphone images in all four experimental groups and on nine all experiment days.

Journal: Sensors (Basel, Switzerland)

Article Title: Developing a Colorimetric Equation and a Colorimetric Model to Create a Smartphone Application That Identifies the Ripening Stage of Lady Finger Bananas in Thailand

doi: 10.3390/s23146387

Figure Lengend Snippet: Theta results from the spectrometer are compared with those from the corresponding smartphone images in all four experimental groups and on nine all experiment days.

Article Snippet: Testing was carried out using a spectrometer (BLUE-Wave model, StellarNet Inc., Tampa, FL, USA) for collection of banana skin color and a smartphone (iPhone XS Max, Apple, Cupertino, CA, USA, with IOS 14.6) [ ]. shows a schematic diagram of the five steps involved in development of this application.

Techniques: