Biosignal detection and analysis with data mining capabilities: A wireless patient monitoring device

• Main Authors: Alconcel, Edwin Arjae N., Avanica, Aaron Angelo S., Forones, Rowell M., Ng, Justin Philbert G., Baldovino, Renann G.
• Format: text
• Published: Animo Repository 2017
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2299; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3298/type/native/viewcontent
• Institution: De La Salle University

© 2017 IEEE. In the Philippines, medical informatics had been loosely practiced in the country as early in the 1980s. Most hospitals in the country, especially public and rural ones, suffer from the backlogs and inconvenience of the traditional 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 apparatus that can read biosignals and send data wirelessly. This paper address that problem by developing a compact medical device, capable of monitoring several biosignals as well as a 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 signal. The data gathered can then be exported and analysis via a data mining software which can help relate the data in a clear manner.