A methodology for the analysis of medical data

A. Tsanas*, M. A. Little, P. E. McSharry

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract / Description of output

Imagine a subject going to the clinic for a medical diagnosis, for example to assess the functionality of his cardiovascular system. The doctor requests a number of clinical tests (for example, stress test to obtain the electro-cardiogram (ECG) and Doppler ultrasound), takes into account a number of other factors (for example the demographics of the subject), and makes his final diagnosis using the current data and his prior knowledge. For his diagnosis, the doctor will usually compute somecharacteristicsof the original raw signal. For example, when the raw signal is the ECG, clinicians may want to use the mean heart rate or the heart rate variability (these characteristics may also be readily provided by medical software) because experience has taught them these characteristics are useful in diagnosis.
Original languageEnglish
Title of host publicationHandbook of Systems and Complexity in Health
PublisherSpringer New York
Pages113-125
Number of pages13
ISBN (Electronic)9781461449980
ISBN (Print)9781461449973
DOIs
Publication statusPublished - 23 Nov 2012

Fingerprint

Dive into the research topics of 'A methodology for the analysis of medical data'. Together they form a unique fingerprint.

Cite this