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Skip search results from other journals and go to results- 661 Journal of Medical Internet Research
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The Use of Mobile Apps in Adolescent Psychotherapy: Assessment of Psychotherapists’ Perspectives
Studies 1 and 2 were approved by the Ethics Committee of the Medical Association of Westphalia-Lippe (approval numbers 2020-878-f-S and 2022-528-f-S, respectively). Additionally, study 2 was approved by the Ethics Committee II of the University of Heidelberg (approval number 2022-643) and the Ethics Commission of the Faculty of Medicine at the University of Cologne (approval number 23-1026_1). Study 3 was approved by the Ethics Committee of Bielefeld University (approval number EUB-2023-050).
JMIR Form Res 2025;9:e65788
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The Butterworth filter is expressed using equation 1:
where y(t) is the filtered signal; x(t) is the input signal; fc is the cutoff frequency; f is the frequency of the signal; and n is the order of the filter.
In this study, an order of 4 was used for the Butterworth filters because it provides a smooth yet sufficiently steep roll-off in the transition band. While higher-order filters provide sharper roll-offs, they also require more computational resources.
JMIR Aging 2025;8:e65629
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From the extended-cosine models, we extracted measures of 24-hour robustness (pseudo-F statistic, indicating how well the observed data fits the 24-hour curve); activity onset time (up-mesor, the time which the modeled activity level passes the middle modeled rhythm height prior to the peak); and activity offset time (down-mesor or the time which the modeled activity level passes the middle modeled rhythm height prior to the nadir).
JMIR Aging 2025;8:e67294
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Modernizing the Staging of Parkinson Disease Using Digital Health Technology
J Med Internet Res 2025;27:e63105
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The raw sensor data (touchscreen, accelerometer, and gyroscope data) were encrypted and transferred wirelessly to a secure central database server that is controlled and maintained by the study initiator, F. Hoffmann-La Roche Ltd. Subsequently, the raw sensor data were used to compute predefined test features that characterize the participant’s performance on the individual active tests.
J Med Internet Res 2025;27:e63090
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