Wearable Sensors and Systems

By Paolo Bonato. IEEE Engineering in Medicine and Biology Magazine, 2010

379 citations recorded by the source corpus.

It is now more than 50 years since the time when clinical monitoring of individuals in the home and community settings was first envisioned. Until recently, technologies to enable such vision were lacking. However, wearable sensors and systems developed over the past decade have provided the tools to finally implement and deploy technology with the capabilities required by researchers in the field of patients' home monitoring. As discussed, potential applications of these technologies include the early diagnosis of diseases such as congestive heart failure, the prevention of chronic conditions such as diabetes, improved clinical management of neurodegenerative conditions such as Parkinson's disease, and the ability to promptly respond to emergency situations such as seizures in patients with epilepsy and cardiac arrest in subjects undergoing cardiovascular monitoring. Current research efforts are now focused on the development of more complex systems for home monitoring of individuals with a variety of preclinical and clinical conditions. Recent research on the clinical assessment of wearable technology promises to deliver methodologies that are expected to lead to clinical adoption within the next five to ten years. In particular, combining home robots and wearable technology is likely to be a key step toward achieving the goal of effectively monitoring patients in the home. These efforts to merge home robots and wearable technology are expected to enable a new generation of complex systems with the ability to monitor subjects' status, facilitate the administration of interventions, and provide an invaluable tool to respond to emergency situations.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/6bade707e4d07667c1b911087a410114e8bdb17a

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Citations in the corpus

Remote health monitoring of elderly through wearable sensors (2019, neutral): “) changes the way we collect and analyse data [4, 6].”
Wearable Sensors for Human Activity Monitoring: A Review (2015, neutral): “arrest in subjects undergoing cardiovascular monitoring [39].”
Deep ConvLSTM With Self-Attention for Human Activity Decoding Using Wearable Sensors (2020, background): “On the other hand, wearable sensors are usually tiny microelectronics or biochemical-based devices that can be placed on different parts of the body as needed or can be put into the pocket of the subject [6].”
A Survey on Ambient Intelligence in Health Care (2013, positive): “Interest in this approach originates from the observation that subjects with chronic conditions (such as hemiparesis following a stroke) could benefit from therapeutic interventions that can be facilitated by robotic systems and enhanced by wearable technology [207].”