Bipolar Disorder I Clinical Trial
Official title:
A Personal Wearable and Interactive System for Monitoring and Multivariable Physiological Assessment to Predict Mood Changes: a Pilot Study With Cyclothymic and Rapid Cycling Bipolar Subjects
For the moment, the detection of a mood episode in Bipolar Disorder (BD) relies on the appearance of the first clinical signs that the clinician detect or that the patient becomes aware of and reports to the clinician. Since physiological parameters such as cardiac rhythms, respiratory rate, voice characteristics and actigraphy seem to be related to the onset of a mood episode, information collected through the combined monitoring of multiple selected physiological parameters (such as cardiac rhythms, respiratory rate, movements, voice) during wake and sleep time, using wearable user friendly systems included into garments as well as with a smartphone, may offer a new perspective in the long-term treatment of BD.
n/a
Observational Model: Cohort, Time Perspective: Prospective
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