![]() ![]() To assess the diagnostic utility of smartphone-based measurement in detecting moderate to severe obstructive sleep apnea syndrome (OSAS). Through overviewing alternative data sources and varied ways of measuring pain and by reflecting on the concerns, limitations, and challenges facing the field, we hope to create critical dialogues, inspire more collaborations, and foster new ideas for future pain research methods. For each, we outline foreseeable technosocial considerations, reflecting on implications for standards of care, pain management, research, and societal impact. Here, we review the state-of-the-art in human pain research, summarizing emerging practices and cutting-edge techniques across multiple methods and technologies. The context in which the field finds itself today-with increasing reliance on digital technologies, an on-going pandemic, and continued disparities in pain care-requires new collaborations and different approaches to measuring pain. Yet, despite our understanding and field-wide acceptance of the multifactorial essence of pain as a sensory perception, emotional experience, and biopsychosocial condition, pain scientists and practitioners often remain siloed within their domain expertise and associated techniques. Pain research traverses many disciplines and methodologies. #Best sleep tracker app 2016 how to#We conclude the work with lessons learned and recommendations for researchers who wish to conduct field studies using digital sleep trackers, and how to mitigate potential challenges and problems that might arise regarding data validity and technical issues. The participants assessed each device according to ease of use, functionality and reliability, and comfortability and effect on sleep disturbances. Study participants provided their expectations and experiences with the devices, and provided qualitative insights into their usage throughout the daily questionnaires. Differences between devices for measuring sleep duration or sleep stages on a single night can be up to an average of 1 h 36 min. We compare the sleep data on each of the tracking nights between all four devices, and showcase that while each device has been validated with the polysomnography (PSG) gold standard, the devices show highly varying results in everyday use. The sensor-based data collection was supplemented with qualitative data from a 2-week long daily questionnaire period which overlapped with device usage for a period of 1 week. In this work, we describe the user expectations and experiences of four different sleep tracking devices used simultaneously during week-long field deployment. ![]() Sleep tracking has been rapidly developing alongside wearable technologies and digital trackers are increasingly being used in research, replacing diaries and other more laborious methods. Since patients may inquire about their sleep habits from these apps, it is necessary for physicians to be aware of the most common apps and the features offered and their limitations in order to properly counsel patients. Many apps provide data on sleep structure however the algorithms are not validated by scientific literature or studies. ![]() The apps with the most reviews from the each store are featured. There are a variety of sleep analysis apps with a range of functionality. The availability of extra features was variable, ranging from 4% to 73% of apps. >65% of sleep apps report on sleep structure, including duration, time awake, and time in light/deep sleep, while reporting of REM was limited. The apps were rated 3.8/5 in both stores, and had an average price of $1.12 in the iOS store and $0.58 in the Google Play store. App information and features were obtained from in-store descriptions, and the app developer website.Ī total of 51 unique sleep apps in both iOS and Google Play stores were included. Alarm clock, sleep-aid, snoring and sleep-talking recorder, fitness tracker apps, and apps geared towards health professionals were excluded. The iOS and Google Play mobile app store were searched for sleep analysis apps targeted for consumer use. To review and assess the current selection of sleep analysis smartphone applications (apps) available for download. ![]()
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