Bio-Signals-based Situation Comparison Approach to Predict Pain
arXiv:1303.0076v2
AI Analysis
This addresses the challenge of analyzing diverse bio-signals for applications like pain prediction, but appears incremental as it builds on existing time-series classification methods.
The paper tackles the problem of classifying bio-medical time-series data to identify similarities between situations, enabling classification regardless of time-series type, length, or quantity.
This paper describes a time-series-based classification approach to identify similarities between bio-medical-based situations. The proposed approach allows classifying collections of time-series representing bio-medical measurements, i.e., situations, regardless of the type, the length and the quantity of the time-series a situation comprised of.