Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach
Li X, Kane M, Zhang Y, Sun W, Song Y, Dong S, Lin Q, Zhu Q, Jiang F, Zhao H. Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach. Journal Of Medical Internet Research 2021, 23: e18403. PMID: 34647895, PMCID: PMC8554674, DOI: 10.2196/18403.Peer-Reviewed Original ResearchMeSH KeywordsActigraphyChild, PreschoolCircadian RhythmHumansInfantMachine LearningSleepWearable Electronic DevicesConceptsRhythm formationPDMS-2Motor developmentCircadian rhythm analysisPeabody Developmental Motor Scales-Second EditionFisher testChildhood motor developmentEarly childhood motor developmentWearable device dataHealthy infantsRhythm analysisClinical studiesLinear regression analysisGross motorMonthsTime pointsAge 6Bonferroni correctionEarly childhoodRhythm developmentRegression analysisOne dayAssociationDaily rhythmsActiwatch data