dc.contributor.author |
Muhammad Abdullah Anjum, Abdul Rahman bin Saad Sohaib Nasir |
|
dc.date.accessioned |
2021-01-15T06:30:18Z |
|
dc.date.available |
2021-01-15T06:30:18Z |
|
dc.date.issued |
2017 |
|
dc.identifier.uri |
http://10.250.8.41:8080/xmlui/handle/123456789/21213 |
|
dc.description |
Supervisor: Dr. Faisal Shafait |
en_US |
dc.description.abstract |
TeleDOC is a diagnostic screening device, designed for the prediction of common and epidemic diseases. The device will incorporate machine learning and state of the art sensors to measure vital health signs non-invasively and in little amount of time. We are working towards a portable, cost-efficient diagnostic screening device capable of performing screening on most common disease using PPG in combination with a few other medical equipment (Thermometer etc).
The major focus of this project is on the processing of PPG. Four parameters are extracted from a patient’s PPG namely (i) Heart Rate, (ii) Blood oxygenation level (SpO2), (iii) Respiratory Rate and (iv) Blood Pressure. Using these 4 parameters combined with body temperature we will be training a machine learning algorithm, which will later be used in field testing to determine the accuracy of our device in normal working conditions. |
en_US |
dc.publisher |
SEECS, National University of Sciences and Technology, Islamabad |
en_US |
dc.subject |
Electrical Engineering |
en_US |
dc.title |
TELE-DOC |
en_US |
dc.type |
Thesis |
en_US |