A biosignal detection and analysis patient monitoring system with data mining capabilities

The state of Philippine health informatics is primitive and outdated. Most hospitals, especially public and rural ones, suffer from the backlogs and inconvenience of the old pen and paper method of patient monitoring. Not only that, these hospitals still utilize bulky and complicated monitoring devi...

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Main Authors: Alconcel, Edwin Arjae N., Avanica, Aaron Angelo S., Forones, Rowell M., Ng, Justin Philbeth G.
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Language:English
Published: Animo Repository 2017
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/9513
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-101582022-07-04T01:32:59Z A biosignal detection and analysis patient monitoring system with data mining capabilities Alconcel, Edwin Arjae N. Avanica, Aaron Angelo S. Forones, Rowell M. Ng, Justin Philbeth G. The state of Philippine health informatics is primitive and outdated. Most hospitals, especially public and rural ones, suffer from the backlogs and inconvenience of the old pen and paper method of patient monitoring. Not only that, these hospitals still utilize bulky and complicated monitoring devices. A low-cost and efficient way to address this and to also further enhance the monitoring of the patient is to introduce a digital database and a medical appearance that can read biosignals and send data wirelessly. This paper address that problem by constructing a compact medical device, capable of monitoring several biosignals as well as patient database to aid in the logging and tracking of patient status. The device sends data via wifi to a website which logs and charts the data with little to no delay depending on the strength and quality of the wifi signal. The data gathered can be then be exported and analysis via a data mining software which can help relate the data in a clear manner. Upon testing and comparing the device with other consumer grade sensors, the results showed that the sensors the device used is on par with commercial devices. Wifi dependability was also tested and showed that the delay of data transmission is proportional to the strength of the signal, therefore before using the device it is recommended to secure a dependable wifi connection. With regards to the data mining aspect, it was able to show and relate the values, but it is important to note that the analysis of the software must not be taken as the final diagnosis. The device achieved all set objectives yet it still has room to improve especially with rate of advancement that technology is experiencing. 2017-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/9513 Bachelor's Theses English Animo Repository Patient monitoring--Data processing
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Patient monitoring--Data processing
spellingShingle Patient monitoring--Data processing
Alconcel, Edwin Arjae N.
Avanica, Aaron Angelo S.
Forones, Rowell M.
Ng, Justin Philbeth G.
A biosignal detection and analysis patient monitoring system with data mining capabilities
description The state of Philippine health informatics is primitive and outdated. Most hospitals, especially public and rural ones, suffer from the backlogs and inconvenience of the old pen and paper method of patient monitoring. Not only that, these hospitals still utilize bulky and complicated monitoring devices. A low-cost and efficient way to address this and to also further enhance the monitoring of the patient is to introduce a digital database and a medical appearance that can read biosignals and send data wirelessly. This paper address that problem by constructing a compact medical device, capable of monitoring several biosignals as well as patient database to aid in the logging and tracking of patient status. The device sends data via wifi to a website which logs and charts the data with little to no delay depending on the strength and quality of the wifi signal. The data gathered can be then be exported and analysis via a data mining software which can help relate the data in a clear manner. Upon testing and comparing the device with other consumer grade sensors, the results showed that the sensors the device used is on par with commercial devices. Wifi dependability was also tested and showed that the delay of data transmission is proportional to the strength of the signal, therefore before using the device it is recommended to secure a dependable wifi connection. With regards to the data mining aspect, it was able to show and relate the values, but it is important to note that the analysis of the software must not be taken as the final diagnosis. The device achieved all set objectives yet it still has room to improve especially with rate of advancement that technology is experiencing.
format text
author Alconcel, Edwin Arjae N.
Avanica, Aaron Angelo S.
Forones, Rowell M.
Ng, Justin Philbeth G.
author_facet Alconcel, Edwin Arjae N.
Avanica, Aaron Angelo S.
Forones, Rowell M.
Ng, Justin Philbeth G.
author_sort Alconcel, Edwin Arjae N.
title A biosignal detection and analysis patient monitoring system with data mining capabilities
title_short A biosignal detection and analysis patient monitoring system with data mining capabilities
title_full A biosignal detection and analysis patient monitoring system with data mining capabilities
title_fullStr A biosignal detection and analysis patient monitoring system with data mining capabilities
title_full_unstemmed A biosignal detection and analysis patient monitoring system with data mining capabilities
title_sort biosignal detection and analysis patient monitoring system with data mining capabilities
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/etd_bachelors/9513
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