Autoregressive Moving Average (ARMA) modeling of local skin temperature data
Date
4-2014
Degree
Bachelor of Science in Applied Physics
College
College of Arts and Sciences (CAS)
Adviser/Committee Chair
Chrysline Margus N. Piñol
Abstract
As a preliminary to the study that ultimately seeks to explore the use of fluctuations in body temperature as an indicator of specific physiological conditions, we compare temperature data obtained from heat points along the arm ? specifically, the elbow, forearm and wrist. We utilize the Autoregressive Moving Average (ARMA) model to analyze of time series data of local skin temperature. Relating model order with complexity, we conclude that temperature readings from the forearm are the most stable (least fluctuating). Although data from the wrist gave the highest mean and spread, the largest order was obtained for the elbow temperature data. Spectral density plots, however, revealed characteristics that were not captured in the ARMA modeling. A further analysis of the current data therefore is required.
Language
English
Location
UPLB Main Library Special Collections Section (USCS)
Call Number
LG 993.5 2014 P51 /M34
Recommended Citation
Magali, John Keith V., "Autoregressive Moving Average (ARMA) modeling of local skin temperature data" (2014). Undergraduate Theses. 1856.
https://www.ukdr.uplb.edu.ph/etd-undergrad/1856
Document Type
Thesis