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Validation of fitbit charge 2 and fitbit alta HR against polysomnography for assessing sleep in adults with obstructive sleep apnea
(2019)
STUDY OBJECTIVES: Consumer wearable devices may be a helpful method of assessing sleep, but validation is required for their use in clinical practice. Our aim was to validate two models of Fitbit sleep trackers that rely ...
Smartphone-based ecological momentary assessment (EMA) in psychiatric patients and student controls: A real-world feasibility study
(2020)
Background: Smartphone-based ecological momentary assessment (EMA) is a promising methodology for mental health research. The objective of this study is to determine the feasibility of smartphone-based active and passive ...
Study protocol of a randomised clinical trial testing whether metacognitive training can improve insight and clinical outcomes in schizophrenia
(2020)
Background: Although insight in schizophrenia spectrum disorders (SSD) has been associated with positive outcomes, the effect size of previous treatments on insight has been relatively small to date. The metacognitive basis ...
Actigraphic recording of motor activity in depressed inpatients: A novel computational approach to prediction of clinical course and hospital discharge
(2020)
Depressed patients present with motor activity abnormalities, which can be easily recorded using actigraphy. The extent to which actigraphically recorded motor activity may predict inpatient clinical course and hospital ...
A probabilistic patient scheduling model with time variable slots
(2020)
One of the current challenges faced by health centers is to reduce the number of patients who do not attend their appointments. The existence of these patients causes the underutilization of the center’s services, which ...
Psychiatric profiles of eHealth users evaluated using data mining techniques: cohort study
(2021)
Background: New technologies are changing access to medical records and the relationship between physicians and patients. Professionals can now use e-mental health tools to provide prompt and personalized responses to ...
Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study
(2021)
The coronavirus disease 2019 (COVID-19) outbreak may have affected the mental health of patients at high risk of suicide. In this study we explored the wish to die and other suicide risk factors using smartphone-based ...
Disturbed sleep as a clinical marker of wish to die: a smartphone monitoring study over three months of observation
(2021)
Background: Smartphone monitoring could contribute to the elucidation of the correlates of suicidal thoughts and behaviors (STB). In this study, we employ smartphone monitoring and machine learning techniques to explore ...
Use of ecological momentary assessment through a passive smartphone-based app (eB2) by patients with schizophrenia: acceptability study
(2021)
Background: Ecological momentary assessment (EMA) tools appear to be useful interventions for collecting real-time data on patients’ behavior and functioning. However, concerns have been voiced regarding the acceptability ...
One-week suicide risk prediction using real-time smartphone monitoring: prospective cohort study
(2023)
Background: Suicide is a major global public health issue that is becoming increasingly common despite preventive efforts.
Though current methods for predicting suicide risk are not sufficiently accurate, technological ...