Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F20%3A00525162" target="_blank" >RIV/68081731:_____/20:00525162 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/20:PU136590

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/abs/pii/S1746809420300847" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S1746809420300847</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.bspc.2020.101928" target="_blank" >10.1016/j.bspc.2020.101928</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone

Popis výsledku v původním jazyce

Smartphones can be used as multifunctional devices for instant monitoring of the users' health. In this study, we proposed methods for the estimation of heart rate (HR), blood oxygen saturation (SpO(2)), and blood pressure (BP). Two smartphone sensors were used for data recording: the rear camera and the microphone. Our approach for HR and SpO(2) estimation was based on creating a photoplethysmogram (PPG) from the camera data. SpO(2) estimation was improved and the smartphone quantum efficiency did not have to be known. BP was estimated using the pulse transit time value calculated from the PPG and phonocardiogram (PCG) recorded using the microphone. Fifty records (for HR and SpO(2)) and 15 records (for BP) were sensed and used for training and testing purposes. An Android (TM) application was developed to provide audio-visual feedback to the measured subject, to indicate whether the placement of the smartphone was appropriate to provide signals of sufficient quality for BP estimation. The mean absolute errors (MAE) were 1.1% for SpO(2) and 1.4 beats per minute (bpm) for HR estimation using the testing dataset. MAE of systolic and diastolic BP were 5.1 mmHg and 7.5 mmHg, respectively. The possibility of using the smartphone as a fast alternative to conventional and specialized devices for SpO(2), HR, and BP estimation was statistically proven.

Název v anglickém jazyce

Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone

Popis výsledku anglicky

Smartphones can be used as multifunctional devices for instant monitoring of the users' health. In this study, we proposed methods for the estimation of heart rate (HR), blood oxygen saturation (SpO(2)), and blood pressure (BP). Two smartphone sensors were used for data recording: the rear camera and the microphone. Our approach for HR and SpO(2) estimation was based on creating a photoplethysmogram (PPG) from the camera data. SpO(2) estimation was improved and the smartphone quantum efficiency did not have to be known. BP was estimated using the pulse transit time value calculated from the PPG and phonocardiogram (PCG) recorded using the microphone. Fifty records (for HR and SpO(2)) and 15 records (for BP) were sensed and used for training and testing purposes. An Android (TM) application was developed to provide audio-visual feedback to the measured subject, to indicate whether the placement of the smartphone was appropriate to provide signals of sufficient quality for BP estimation. The mean absolute errors (MAE) were 1.1% for SpO(2) and 1.4 beats per minute (bpm) for HR estimation using the testing dataset. MAE of systolic and diastolic BP were 5.1 mmHg and 7.5 mmHg, respectively. The possibility of using the smartphone as a fast alternative to conventional and specialized devices for SpO(2), HR, and BP estimation was statistically proven.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20601 - Medical engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Biomedical Signal Processing and Control

ISSN

1746-8094

e-ISSN

—

Svazek periodika

59

Číslo periodika v rámci svazku

MAY

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

101928

Kód UT WoS článku

000528276200035

EID výsledku v databázi Scopus

2-s2.0-85081032142