A5101940614- Mental Health Research Topics
- Digital Mental Health Interventions
- Sleep and related disorders
- Sleep and Wakefulness Research
- Circadian rhythm and melatonin
- Bipolar Disorder and Treatment
- Functional Brain Connectivity Studies
- Behavioral Health and Interventions
- Health and Wellbeing Research
- Mental Health Treatment and Access
- Sleep and Work-Related Fatigue
- Tryptophan and brain disorders
Korea University
2015-2024
Related ArticleThis is a corrected version. See correction statement in: https://www.jmir.org/2019/10/e15966
The use of telemedicine with a mobile application (MA) and wearable device (WD) for the management sleep disorders has recently received considerable attention. We designed an MA synchronizable WD insomnia treatment. Our pilot study determined efficacy simplified group cognitive behavioral therapy (CBT-I) delivered using our assessed participant adherence to satisfaction device.The CBT-I (CBT-I-MA) was by comparing variables (sleep efficiency [SE], Insomnia Severity Index [ISI], Pittsburgh...
Smartphones and wearable devices can be used to obtain diverse daily log data related circadian rhythms. For patients with mood disorders, giving feedback via a smartphone app appropriate behavioral correction guides could play an important therapeutic role in the real world.We aimed evaluate effectiveness of named Circadian Rhythm for Mood (CRM), which was developed prevent episodes based on machine learning algorithm that uses passive digital phenotype rhythm behaviors obtained activity...
This study introduces a protocol to evaluate the feasibility and clinical utility of Mental Instability Risk Early Detection Monitoring System (MIR-Med System), novel, digital monitoring platform designed for real-time detection prevention self-harm, aggression, psychiatric instability among inpatients. The MIR-Med integrates wearable devices machine learning algorithms collect analyze phenotyping data, such as circadian rhythm patterns, heart rate variability, sleep quality. By leveraging...
A consistent diagnosis and classification system is important to ensure a good understanding of the pathophysiology ultimate treatment disorder. Insomnia one more common complaints encountered in outpatient setting. Despite prevalence insomnia, evaluation, treatment, research has been hampered by lack standard definition insomnia. In recent years, there have advances The ICSD-3 DSM-5 sleep-wake disorder classifications moved away from causal attributions that were inherent previous...
The circadian rhythm for mood (CRM) is a digital therapeutic, which aims to prevent episode and improve clinical course in patients with major disorders. Developed on the hypothesis of disorder, CRM predicts impending risk its built-in algorithm, utilizing wearable devices data daily self-reports, provides personalized feedback. In pilot study CRM, users experienced less frequent shorter duration episodes than non-users. To investigate efficacy upgraded double-blind, randomized,...
The Epworth Sleepiness Scale is a measure used for the diagnosis of sleep disorders including obstructive apnea (OSA) syndrome, insomnia, and narcolepsy. Although Korean version has been developed (the KESS), lifestyle such as floor culture low driving rates not considered. We aim to develop validate modified KESS (mKESS) that reflects lifestyle.The sample consisted 795 healthy participants 323 OSA patients. mKESS was by modifying several questions concern (questions 1, 2, 6, 7) (question...
<sec> <title>BACKGROUND</title> Virtually, all organisms on Earth have their own circadian rhythm, and humans are no exception. Circadian rhythms associated with various human states, especially mood disorders, disturbance of the rhythm is known to be very closely related. Attempts also been made derive clinical implications disorders using vast amounts digital log that acquired by technologies develop computational analysis techniques. </sec> <title>OBJECTIVE</title> This study was...
<sec> <title>BACKGROUND</title> Smartphones and wearable devices can be used to obtain diverse daily log data related circadian rhythms. For patients with mood disorders, giving feedback via a smartphone app appropriate behavioral correction guides could play an important therapeutic role in the real world. </sec> <title>OBJECTIVE</title> We aimed evaluate effectiveness of named Circadian Rhythm for Mood (CRM), which was developed prevent episodes based on machine learning algorithm that...