Pulse and respiratory rate estimation using android smartphone

A rapidly growing field for the development of smartphone applications is the healthcare and wellness industry. Currently, there are a variety of healthcare and wellness applications (apps) in the market such as calories tracker, step tracker, and vital signs estimation. This paper presents the deve...

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Main Author: Maisarah Mokhtar
Other Authors: Ser Wee
Format: Final Year Project
Language:English
Published: 2019
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Online Access:http://hdl.handle.net/10356/77786
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-777862023-07-07T16:46:31Z Pulse and respiratory rate estimation using android smartphone Maisarah Mokhtar Ser Wee School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics A rapidly growing field for the development of smartphone applications is the healthcare and wellness industry. Currently, there are a variety of healthcare and wellness applications (apps) in the market such as calories tracker, step tracker, and vital signs estimation. This paper presents the development of vital signs estimation Android smartphone application called VitaHealth. The three vital signs considered for VitaHealth are Pulse Rate (HR), Respiratory Rate (RR) and Oxygen Saturation (SpO2). VitaHealth supports two main functions, first to measure, calculate and estimate the three vital signs, and secondly, to provide communication between users (patients) and their healthcare providers (doctors). It uses Photoplethysmography (PPG) technique in which an Android smartphone equipped with a camera records the small pulsating changes in light intensity of the blood volume at the fingertip while the camera flash illuminates the skin of fingertip. The Red and Green channels of RGB signals in each image frame of the recorded video were extracted and undergoes image processing and Fast Fourier Transform (FFT) to derive the HR and RR measurement. On the other hand, the Red and Blue channels were used for deriving SpO2 measurement. Ten participants participated in the testing process whereby VitaHealth app was tested against the pulse oximeter to determine the accuracy. The results indicated that the average error rate for heart rate is 7.68% and heart rate readings from VitaHealth is higher than the pulse oximeter due to several factors such as movement artifacts of the finger. Conversely, the average error for oxygen saturation is 1.55%. Therefore, the accuracy for oxygen saturation measurement using VitaHealth is similar to the pulse oximeter. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-06T06:28:49Z 2019-06-06T06:28:49Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77786 en Nanyang Technological University 79 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Maisarah Mokhtar
Pulse and respiratory rate estimation using android smartphone
description A rapidly growing field for the development of smartphone applications is the healthcare and wellness industry. Currently, there are a variety of healthcare and wellness applications (apps) in the market such as calories tracker, step tracker, and vital signs estimation. This paper presents the development of vital signs estimation Android smartphone application called VitaHealth. The three vital signs considered for VitaHealth are Pulse Rate (HR), Respiratory Rate (RR) and Oxygen Saturation (SpO2). VitaHealth supports two main functions, first to measure, calculate and estimate the three vital signs, and secondly, to provide communication between users (patients) and their healthcare providers (doctors). It uses Photoplethysmography (PPG) technique in which an Android smartphone equipped with a camera records the small pulsating changes in light intensity of the blood volume at the fingertip while the camera flash illuminates the skin of fingertip. The Red and Green channels of RGB signals in each image frame of the recorded video were extracted and undergoes image processing and Fast Fourier Transform (FFT) to derive the HR and RR measurement. On the other hand, the Red and Blue channels were used for deriving SpO2 measurement. Ten participants participated in the testing process whereby VitaHealth app was tested against the pulse oximeter to determine the accuracy. The results indicated that the average error rate for heart rate is 7.68% and heart rate readings from VitaHealth is higher than the pulse oximeter due to several factors such as movement artifacts of the finger. Conversely, the average error for oxygen saturation is 1.55%. Therefore, the accuracy for oxygen saturation measurement using VitaHealth is similar to the pulse oximeter.
author2 Ser Wee
author_facet Ser Wee
Maisarah Mokhtar
format Final Year Project
author Maisarah Mokhtar
author_sort Maisarah Mokhtar
title Pulse and respiratory rate estimation using android smartphone
title_short Pulse and respiratory rate estimation using android smartphone
title_full Pulse and respiratory rate estimation using android smartphone
title_fullStr Pulse and respiratory rate estimation using android smartphone
title_full_unstemmed Pulse and respiratory rate estimation using android smartphone
title_sort pulse and respiratory rate estimation using android smartphone
publishDate 2019
url http://hdl.handle.net/10356/77786
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