Results 1 to 10 of about 262,058 (296)
Introduction: Gait analysis is a vital tool in the assessment of human movement and has been widely used in clinical settings to identify potential abnormalities in individuals.
Lianne Mobbs +5 more
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Omnidirectional Triboelectric Nanogenerator Operated by Weak Wind towards a Self-Powered Anemoscope
Wind is a great sustainable energy source for harvesting due to its abundant characteristic. Typically, large space, loud noise, and heavy equipment are essential for a general wind power plant and it is solely operated by big-scale wind.
Nay Yee Win Zaw +4 more
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Ecoflex is widely used in bioelectronics due to its outstanding properties of low modulus and large stretchability. For its use as an encapsulation layer in multi-channel wearable devices, a patterning procedure is essential.
Seungwan Kim +6 more
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Generalized anxiety disorder (GAD) is one of common anxiety disorders in adolescents. Although adolescents with GAD are thought to be at high risk for other mental diseases, the disease-specific alterations have not been adequately explored.
Zhijun Yao +9 more
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Remotely Monitoring Cancer-Related Fatigue Using the Smart-Phone: Results of an Observational Study
Cancer related fatigue is a chronic disease that may persist up to 10 years after successful cancer treatment and is one of the most prevalent problems in cancer survivors.
Vanessa Christina Klaas +3 more
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The development of aqueous zinc metal batteries is hindered by dendritic growth, parasitic side reactions, and unstable electrode-electrolyte interface, leading to rapid capacity fading.
Shaocong Tang +9 more
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Objects: Effective psychological function requires that cognition is not affected by task-irrelevant emotional stimuli in emotional conflict. Depression is mainly characterized as an emotional disorder.
Jing Zhu +6 more
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Bridging the Gap: Integrating Energy Management with Moisture‐Electric Energy Harvesting
With the rapid proliferation of electronic devices, the demand for sustainable energy has grown considerably, particularly in the field of wearable health monitoring. In response, a variety of energy harvesting technologies have been developed to capture
Zhongliang Zhang +2 more
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Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Human activity recognition (HAR) tasks have traditionally been solved using engineered features obtained by heuristic processes. Current research suggests that deep convolutional neural networks are suited to automate feature extraction from raw sensor ...
Francisco Javier Ordóñez +1 more
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Pulse rate (PR) and respiratory rate (RR) are two of the most important vital signs. Monitoring them would benefit from easy-to-use technologies. Hence, wearable devices would, in principle, be ideal candidates for such systems. The neck, although highly
Rawan S. Abdulsadig +1 more
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