Validation of smartphone-derived metrics for prolonged unobtrusive monitoring of rest-activity patterns, fatigue and sleepiness in sleep-disordered patients.

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON22867

Enrollment

200

Registered

2021-02-18

Start date

2021-06-01

Completion date

Unknown

Last updated

2025-03-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

chronic insomnia disorder sleep related breathing disorders circadian rhythm disorder nonrestorative sleep primary hypersomnia

Interventions

None listed

Eligibility

Inclusion criteria

Inclusion criteria: Sleep disordered patiënts referred to Kempenhaeghe A minimum 18 year of age Able to read and speak Dutch Regular use of smartphone on a daily basis

Exclusion criteria

Exclusion criteria: Cognitive impairments that make use of smartphones and/or completion of questionnaires difficult or unreliable. Other somatic disorders that can cause fatigue and/or excessive daytime sleepiness.

Design outcomes

Primary

Measure	Time frame
Primary Objectives: • Investigate whether and to what extent smartphone interaction metrics can unobtrusively monitor rest-activity patterns in patients suffering from sleep disorders. • Investigate whether and to what extent fatigue and sleepiness during the wake phase can be monitored and quantified objectively by means of smartphone-derived keystroke dynamics features among patients suffering from sleep disorders.	—

Measure

Time frame

Primary Objectives: • Investigate whether and to what extent smartphone interaction metrics can unobtrusively monitor rest-activity patterns in patients suffering from sleep disorders. • Investigate whether and to what extent fatigue and sleepiness during the wake phase can be monitored and quantified objectively by means of smartphone-derived keystroke dynamics features among patients suffering from sleep disorders.

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Secondary

Measure	Time frame
Secondary Objective: • Investigate whether and to what extent smartphone derived metrics based on keyboard interactions (potentially complemented with health kit and sensor data) are sensitive (responsive) to changes in clinical status. Sensitivity to changes will be investigated in the following: rest-activity patterns, fatigue-related complaints during the wake phase, and excessive daytime sleepiness due to clinical interventions as part of care as usual, Tertiary / Exploratory Objective(s): • Investigate the accuracy of machine learning methods to differentiate between participants with different clinical sleep diagnoses (e.g., insomnia or circadian rhythm sleep disorders) based on Neurocast platform metrics. • Investigate whether and to what extent Neurocast platform metrics can be used to assess pre-sleep arousal and/or predict sleep quality and insomnia severity. • Assess user experiences with the Neurocast platform.	—

Measure

Time frame

Secondary Objective: • Investigate whether and to what extent smartphone derived metrics based on keyboard interactions (potentially complemented with health kit and sensor data) are sensitive (responsive) to changes in clinical status. Sensitivity to changes will be investigated in the following: rest-activity patterns, fatigue-related complaints during the wake phase, and excessive daytime sleepiness due to clinical interventions as part of care as usual, Tertiary / Exploratory Objective(s): • Investigate the accuracy of machine learning methods to differentiate between participants with different clinical sleep diagnoses (e.g., insomnia or circadian rhythm sleep disorders) based on Neurocast platform metrics. • Investigate whether and to what extent Neurocast platform metrics can be used to assess pre-sleep arousal and/or predict sleep quality and insomnia severity. • Assess user experiences with the Neurocast platform.

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Contacts

Public ContactGeert Peeters

Kempenhaeghe, Centrum voor Slaapgeneeskunde

PeetersG@kempenhaeghe.nl0614679077

Outcome results