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Speech Features as Predictors of Momentary Depression Severity in Patients With Depressive Disorder Undergoing Sleep Deprivation Therapy: Ambulatory Assessment Pilot Study.

Lisa-Marie HartnagelUlrich W Ebner-PriemerJerome Clifford FooYoshiharu YamamotoFabian StreitStephanie-H WittJoseph FrankLea ZillichMatthias F LimbergerAyimnisagul AblimitTanja SchultzMaria GillesMarcella D C RietschelLea Sirignano
Published in: JMIR mental health (2024)
Pitch variability, speech pauses, and speech rate are promising features for the development of clinical prediction technologies to improve patient care as well as timely diagnosis and monitoring of treatment response. Our research is a step forward on the path to developing an automated depression monitoring system, facilitating individually tailored treatments and increased patient empowerment.
Keyphrases
  • sleep quality
  • depressive symptoms
  • hearing loss
  • blood pressure
  • bipolar disorder
  • physical activity
  • computed tomography
  • magnetic resonance imaging
  • stress induced
  • cell therapy
  • clinical evaluation