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

Document Type

Thesis

This document is currently not available here.

Share

COinS