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Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study.

Fatemeh SarhaddiIman AzimiHannakaisa Niela-VilenAnna M AxelinPasi LiljebergAmir M Rahmani
Published in: JMIR formative research (2023)
-score for loneliness prediction. We also show that intensity of activity, activity pattern, and resting HR and HRV are good predictors of loneliness. These results indicate the intervention opportunities made available by wearable devices and predictive models to improve maternal well-being through early detection of loneliness.
Keyphrases
  • social support
  • heart rate
  • birth weight
  • healthcare
  • pregnancy outcomes
  • depressive symptoms
  • mental health
  • heart rate variability
  • high intensity
  • body mass index
  • real time pcr
  • weight loss