6   Artículos

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en línea
Jung-Min Lee, Wonwoo Byun, Alyssa Keill, Danae Dinkel and Yaewon Seo    
Tracking physical activity and sleep patterns using wearable trackers has become a current trend. However, little information exists about the comparability of wearable trackers measuring sleep. This study examined the comparability of wearable trackers ... ver más

 
en línea
Sonali B. Bhanvadia, Leo Meller, Kian Madjedi, Robert N. Weinreb and Sally L. Baxter    
Physical activity has been found to potentially modulate glaucoma risk, but the evidence remains inconclusive. The increasing use of wearable physical activity trackers may provide longitudinal and granular data suitable to address this issue, but little... ver más
Revista: Information    Formato: Electrónico

 
en línea
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, Raafat Aburukba, Assim Sagahyroon and Fadi Aloul    
Depression is one of the most common mental health disorders, affecting approximately 280 million people worldwide. This condition is defined as emotional dysregulation resulting in persistent feelings of sadness, loss of interest and inability to experi... ver más
Revista: Information    Formato: Electrónico

 
en línea
Stavros Asimakopoulos, Grigorios Asimakopoulos and Frank Spillers    
Wearable fitness trackers have gained a new level of popularity due to their ambient data gathering and analysis. This has signalled a trend toward self-efficacy and increased motivation among users of these devices. For consumers looking to improve thei... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Agostino Giorgio, Cataldo Guaragnella and Maria Rizzi    
The high mortality rate associated with cardiac abnormalities highlights the need of accurately detecting heart disorders in the early stage so to avoid severe health consequence for patients. Health trackers have become popular in the form of wearable d... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

 
en línea
Daniela Micucci, Marco Mobilio and Paolo Napoletano    
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being increasingly used to monitor human activities. Data acquired by the hosted sensors are usually processed by machine-learning-based algorithms to classify human activities.... ver más
Revista: Applied Sciences    Formato: Electrónico

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