A Graphical User Interface for an Automatic Rest-activity Cycle Detection and Dichotomy Index Computation
12th International Conference on Health Informatics (HEALTHINF)
The success of chemotherapy treatment is achieved based on “Chronotherapy”: the concept of administering the correct drug at a precise time based on the circadian rhythm study. This paper aims to detect the rest/activity cycle and automatically calculate the dichotomy index (I<O), as both parameters have been proved to be reliable indices of the circadian rhythm. First, the DARC “Détection Automatique du Rythme Circadien” algorithm is used to segment the rest-activity phases automatically. Then, a Graphical User Interface (GUI) is used to calculate easily the I<O across several days of records and smooth the analysis. The outcome of this study provides an easy-to-use GUI that minimizes patients’ intervention, facilitates user involvement, and reduces the time required for analysis.