Characterization of depressive states in bipolar patients using wearable textile technology and instantaneous heart rate variability assessment

CITI, LUCA;BARBIERI, RICCARDO
2015-01-01

2015
Bipolar disorder; bispectrum; heart rate variability (HRV); high-order statistics; mood recognition; nonlinear analysis; point process; wearable systems; wearable textile monitoring; Wiener-Volterra model; Adolescent; Adult; Aged; Algorithms; Bipolar Disorder; Clothing; Depressive Disorder; Diagnosis, Computer-Assisted; Electrocardiography, Ambulatory; Female; Humans; Male; Middle Aged; Reproducibility of Results; Sensitivity and Specificity; Textiles; Young Adult; Heart Rate; Biotechnology; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering; Health Information Management
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/965377
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