Background: Wearable sensor technologies such as inertial measurement units, smartwatches, and multisensor systems have emerged as valuable tools in clinical and real-world health monitoring. These devices enable continuous, noninvasive tracking of gait, mobility, and…
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Understanding Atrial Fibrillation and Wearable Detection
Atrial fibrillation (AFib) represents one of the most common cardiac arrhythmias affecting millions worldwide, characterized by irregular and often rapid heart rhythms that can lead to serious complications including…
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A federal jury orders Apple to pay Masimo $634 million for violating the company’s blood oxygen reading patents in Apple Watch’s workout mode and heart rate notification feature.
The legal battle between the…
The Privacy Gap in Wearable Technology
Senator Bill Cassidy, R-La., is leading a crucial effort to strengthen privacy protections for health information collected through wearable devices and mobile health applications. As chair of the Senate…
Background: Recent studies demonstrated the validity, reliability and accuracy of consumer smartwatches for measuring daily steps in people with Parkinson’s disease (PwPD). However, no study to date estimated the minimal clinically important difference (MCID)…
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Background: New technologies from the field of mobile health (mHealth) are increasingly used to improve patient monitoring during rehabilitation. While in recent years, mobile phones, health apps, personal digital assistants, and smartwatches opened up…
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Background: The usage of consumer wearables (CWs; for example, fitness trackers and smartwatches) in the population has increased enormously within the last decade. This has resulted in a large amount of digital person-generated health…
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Background: Sudden cardiac arrest is a major cause of mortality, necessitating immediate and high-quality cardiopulmonary resuscitation (CPR) for improved survival rates. High-quality CPR is defined by chest compressions at a rate of 100-120 per…
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Background: Ecological momentary assessment (EMA) offers an effective method to collect frequent, real-time data on an individual’s well-being. However, challenges exist in response consistency, completeness, and accuracy. Objective: This goal of this study is…
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This study examines the relationship between self-reported and physiologically measured sleep quality and their impact on neurocognitive performance in individuals with depression. Using data from 249 participants with medium to severe depression monitored over…
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