eWALL baza podataka

undergraduate thesis

• Title (english): eWALL data base
• Author: Ida Penezić
• Mentor: Dina Šimunić (mentor)
• Committee member: Dina Šimunić (predsjednik povjerenstva)
• Committee member: Iva Bojić (član povjerenstva)
• Committee member: Goran Dimić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2014-09-17, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Starije osobe često obolijevaju od velikog broja bolesti stoga eWALL može biti rješenje njihovih problema. eWALL je pristupačan montažni zid koji se jednostavno može montirati na postojeći zid. Postoji nekoliko senzora koji se koriste i koji su povezani s bolnicom, uključujući EMG sensor, EKG sensor, GSR sensor, SPO2 senzor itd. Pomoću bežićne tehnologije, postoji mogućnost implementacije testa za urin koji osoba može lako koristiti. Kada se govori o medicinskoj bazi podataka koja čuva informacije o pacijentu, detalji o pojedinom pacijentu su pohranjeni svaki u svome redu. S obzirom da je baza anonimna, ne postoje identifikacijske informacije, čime je privatnost zagarantirana. U ovom radu prezentirana je simulirana medicinska baza podataka. Ona se sastoji od 8 relacija koje su međusobno povezane pomoću ključnih atributa a koje sadrže raznolike podatke o pacijentu i aktivnostima koje mora izvršavati (obavljanje pretraga i uzimanje lijekova).

Abstract (english)

Senior citizens may suffer from a number of diseases so eWALL can be solution of their problems. eWALL will be an affordable, easy-to-install prefabricated wall that can be mounted on an existing wall. A several sensors can be used and connected with hospital including EMG sensor, ECG sensor, GSR sensor, SPO2 sensor etc. With the help of wireless solution, there is also a chance of implementation urine test which a person can easily use. Security is a major problem to be considered for database operations because the values of such data’s are high. When considering a medical database that holds patients information, each patient’s detail is stored in specific row. Since the database is anonymous it never holds any identifying
information and hence privacy of the individual is preserved.
In this work a simulated medical database is presented. It consists of eight relations interrelated by the key attributes. Relations consists of personal data and data activity which a person need to follow (medical tests or taking pills).

• Keywords: eWALL; medicinski senzori; medicinska baza podataka
• Keywords (english): eWALL; medical sensors; medical database
• Language: croatian
• URN:NBN: urn:nbn:hr:168:003673
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-05 17:48:32