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

Date of Publication


Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Manufacturing Engineering and Management


Gokongwei College of Engineering


Manufacturing Engineering and Management

Thesis Adviser

Renann G. Baldovino

Defense Panel Member

Elmer Jose P. Dadios
Marlon Luis M. Musngi


The state of Philippine health informatics is primitive and outdated.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.

Abstract Format






Accession Number


Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

96, xix leaves : illustrations (some color) ; 29 cm.


Patient monitoring--Data processing

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