This bachelor thesis deals with study of bipolar disorder and analysis of objective data from actigraphy. The case study of long-term recordings of two patients is presented. The thesis goal is to predict relapse using Approximate Entropy and Circadian Rhythms Instability. Parameters IV and IS of Circadian Rhythms Instability methods described the change of patient status before the bipolar event. However, the relapse prediction couldn't be performed accurately.