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Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19

Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19

Solid line: median; shade: 25th percentile to 75th percentile. dur: duration; WHO: World Health Organization.Figure 2Behavioral changes for Spain (329 participants).

Shaoxiong Sun, Amos A Folarin, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Nicholas Cummins, Faith Matcham, Gloria Dalla Costa, Sara Simblett, Letizia Leocani, Femke Lamers, Per Soelberg Sørensen, Mathias Buron, Ana Zabalza, Ana Isabel Guerrero Pérez, Brenda WJH Penninx, Sara Siddi, Josep Maria Haro, Inez Myin-Germeys, Aki Rintala, Til Wykes, Vaibhav A Narayan, Giancarlo Comi, Matthew Hotopf, Richard JB Dobson, RADAR-CNS Consortium

J Med Internet Res 2020;22(9):e19992

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Usability of the Turkish Translation of the Dutch Talking Touch Screen Questionnaire for Physical Therapy Patients With a Turkish Background: Qualitative Study

Usability of the Turkish Translation of the Dutch Talking Touch Screen Questionnaire for Physical Therapy Patients With a Turkish Background: Qualitative Study

Out of 10 participants, 5 made positive remarks on the way the user interface was designed and on the short completion time.These visual images are appealing and make it “come to life”.Imran, age 52 yearsExperienced Onur (age 35 years) was positive about the

Marlies Welbie, Harriet Wittink, Sahin Bozkurt, Tugba Coban, Walter LJM Devillé

JMIR Form Res 2020;4(2):e14189

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Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review

Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review

2013 [49]Sensitivity, specificity, negative predictive value, positive predictive value, and area under the receiving operating characteristic curves—Prediction of life-saving interventions—Meisozo et al, 2016 [50]Paired student t-test, Fisher exact tests———Dur

Jobbe PL Leenen, Crista Leerentveld, Joris D van Dijk, Henderik L van Westreenen, Lisette Schoonhoven, Gijsbert A Patijn

J Med Internet Res 2020;22(6):e18636

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Inferring Physical Function From Wearable Activity Monitors: Analysis of Free-Living Activity Data From Patients With Knee Osteoarthritis

Inferring Physical Function From Wearable Activity Monitors: Analysis of Free-Living Activity Data From Patients With Knee Osteoarthritis

Dur: duration.Figure 3The mean and SD space containing all segments is partitioned into bounding regions, each defined by a mean and an SD interval.Figure 4Scatter plot of the mean, SD, and duration of the segments.Supervised LearningWe defined a composite

Vibhu Agarwal, Matthew Smuck, Christy Tomkins-Lane, Nigam H Shah

JMIR Mhealth Uhealth 2018;6(12):e11315

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Correlates of Stress in the College Environment Uncovered by the Application of Penalized Generalized Estimating Equations to Mobile Sensing Data

Correlates of Stress in the College Environment Uncovered by the Application of Penalized Generalized Estimating Equations to Mobile Sensing Data

Amp: amplitude; convo: conversation; day: sensing data across an entire day; dist: distance; dur: duration; loc: location; num: number; prop: proportion of sensing data occurring within a time period; std: standard deviation.Table 1Features related to stress

Alex W DaSilva, Jeremy F Huckins, Rui Wang, Weichen Wang, Dylan D Wagner, Andrew T Campbell

JMIR Mhealth Uhealth 2019;7(3):e12084

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