iPad application development for breathing sensor

This report presents the design of a Graphical User Interface (GUI) App that will display the information received from the fiber optic sensor via Bluetooth 4.0 technology. The deliverable of this project is a Graphical User Interface (GUI) for a mobile device (iPad3) that displays information recor...

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Main Author: Lin, Huining.
Other Authors: Zhong Wende
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54216
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-542162023-07-07T17:00:56Z iPad application development for breathing sensor Lin, Huining. Zhong Wende School of Electrical and Electronic Engineering A*STAR Institute for Infocomm Research DRNTU::Engineering This report presents the design of a Graphical User Interface (GUI) App that will display the information received from the fiber optic sensor via Bluetooth 4.0 technology. The deliverable of this project is a Graphical User Interface (GUI) for a mobile device (iPad3) that displays information recorded by the sensors wirelessly. Its main purpose is to provide a non-pharmacologic treatment to resistive hypertensive patients by means of an animation to guide user to slow down their breathing rate. The Application will be used by the A*Star team for demonstrating of the fiber optic sensor’s functionality and application to companies. Signal processing method, such as FFT (Fast Fourier Transform) algorithm and some filtering methods will be investigated. FFT is an efficient algorithm to compute the discrete Fourier Transform (DFT) and is commonly used in a many applications in digital signal processing. However, FFT do have some drawbacks. It requires sampling point to be of power of 2 and frequency resolution needs to be well selected for a meaningful result. In this report, the effects of baseline wander of input signal to the FFT result will also be investigated. Bachelor of Engineering 2013-06-17T03:12:41Z 2013-06-17T03:12:41Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54216 en Nanyang Technological University 82 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
spellingShingle DRNTU::Engineering
Lin, Huining.
iPad application development for breathing sensor
description This report presents the design of a Graphical User Interface (GUI) App that will display the information received from the fiber optic sensor via Bluetooth 4.0 technology. The deliverable of this project is a Graphical User Interface (GUI) for a mobile device (iPad3) that displays information recorded by the sensors wirelessly. Its main purpose is to provide a non-pharmacologic treatment to resistive hypertensive patients by means of an animation to guide user to slow down their breathing rate. The Application will be used by the A*Star team for demonstrating of the fiber optic sensor’s functionality and application to companies. Signal processing method, such as FFT (Fast Fourier Transform) algorithm and some filtering methods will be investigated. FFT is an efficient algorithm to compute the discrete Fourier Transform (DFT) and is commonly used in a many applications in digital signal processing. However, FFT do have some drawbacks. It requires sampling point to be of power of 2 and frequency resolution needs to be well selected for a meaningful result. In this report, the effects of baseline wander of input signal to the FFT result will also be investigated.
author2 Zhong Wende
author_facet Zhong Wende
Lin, Huining.
format Final Year Project
author Lin, Huining.
author_sort Lin, Huining.
title iPad application development for breathing sensor
title_short iPad application development for breathing sensor
title_full iPad application development for breathing sensor
title_fullStr iPad application development for breathing sensor
title_full_unstemmed iPad application development for breathing sensor
title_sort ipad application development for breathing sensor
publishDate 2013
url http://hdl.handle.net/10356/54216
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