The purpose of this study is to develop an innovative wearable tracking protocol that will use Artificial Intelligence (AI) technology to monitor sleep and behavior of 3-7 year old children.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
DOUBLE
Enrollment
100
A smartwatch device that measures subjects level of activity, heartrate, respirations and quality of your sleep at night. Artificial intelligence will be applied to analyze all the data over the course of 12 weeks to monitor and attempt to predict the onset of tantrums or disruptive behavior. Subjects are required to wear the watch at least 70% of the day and night each day for 70% of days during 12 weeks of treatment.
Mayo Clinic in Rochester
Rochester, Minnesota, United States
Frequency of Garmin use
Number of days participants wear the Garmin smartwatch
Time frame: 12 weeks
Eyberg Child Behavior Inventory
The Eyberg Child Behavior Inventory questionnaire is measured on two subscales for a series of phrases that describe a children's behavior. The first subscale is for indicating the frequency of the behavior using a scale of 1= never to 7 = Always; the second subscale indicates yes = 1 or no = 0 for whether the behavior is currently a problem for them. Reponses are total with a higher score indicating greater severity of child's behavior.
Time frame: 12 weeks
Pediatric Sleep Questionnaire
Pediatric Sleep Questionnaire to assess child's sleep with a series of 22 questions on a yes/no problem scale.
Time frame: 12 weeks
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.