Inlämning av Examensarbete / Submission of Thesis

Syed Asif Abbas Bukhari; Sajid Hussain MCS-2012-05, pp. 110. COM/School of Computing, 2012.

The work

Författare / Author: Syed Asif Abbas Bukhari, Sajid Hussain,
Titel / Title: Intelligent Support System for Health Monitoring of elderly people
Översatt titel / Translated title: Intelligent Support System for Health Monitoring of elderly people
Abstrakt Abstract:

The use of information and communications technology (ICT) to provide medical information, interaction between patients and health-service providers, institution-to-institution transmission of data, in known as eHealth. ICT have become an inseparable part of our life, it can integrate health care more seamlessly to our everyday life. ICT enables the delivery of accurate medical information anytime anywhere in an efficient manner.
Cardiovascular disease (CVD) is the single leading cause of death, especially in elderly people. The condition of heart is monitor by electrocardiogram (ECG). The Electrocardiogram (ECG) is widely used clinical tool to diagnose complex heart diseases. In clinical settings, resting ECG is used to monitor patients. Holter-based portable monitoring solutions capable of 24 to 48-hour ECG recording, they lack the capability of providing any real-time feedback in case of alarming situation. The recorded ECG data analyzed offline by doctor. To address this issue, authors propose a functionality of intelligence decision support system, in heart monitoring system. The proposed system has capability of generate an alarm in case of serious abnormality in heart, during monitoring of heart activity.

Ämnesord / Subject: Datavetenskap - Computer Science\Informatics
Datavetenskap - Computer Science\General
Datavetenskap - Computer Science\Effects on Society
Nyckelord / Keywords: Intelligent Support System, Ehealth, Health Monitoring System

Publication info

Dokument id / Document id: houn-8umatu
Program:/ Programme Datavetenskapligt program/Computer Science
Registreringsdatum / Date of registration: 05/25/2012
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)


Handledare / Supervisor: Dr. Guohua Bai
Examinator / Examiner: Lars Lundberg
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: COM/School of Computing

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: bth2012bukhari.pdf (2255 kB, öppnas i nytt fönster)