Titlebook: Wireless Mobile Communication and Healthcare; 11th EAI Internation António Cunha,Nuno M. Garcia,Sandra Pereira Conference proceedings 2023

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https://doi.org/10.1007/978-3-031-32029-3Computer Science; Informatics; Conference Proceedings; Research; Applications

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978-3-031-32028-6ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023

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Wireless Mobile Communication and Healthcare978-3-031-32029-3Series ISSN 1867-8211 Series E-ISSN 1867-822X

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Deep Learning Glaucoma Detection Models in Retinal Images Capture by Mobile Devicesmptoms, this disease often progresses to more advanced stages, not being detected in the early phase. The screening of glaucoma can be made through visualization of the retina, through retinal images captured by medical equipment or mobile devices with an attached lens to the camera. Deep learning c

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Prediction of?Ventricular Tachyarrhythmia Using Deep Learningin the world. This work uses deep learning, more precisely, LSTM and biLSTM networks to predict VTA events. The Spontaneous Ventricular Tachyarrhythmia Database from PhysioNET was chosen, which contains 78 patients, 135 VTA signals, and 135 control rhythms. After the pre-processing of these signals

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Development of?a?Wrist Rehabilitation Game with?Haptic Feedback a stroke or an injury is one of the most severe restrictions to an independent life. To regain the function of the hand, physical therapy is used. Since the resulting rehabilitation process is slow and exhausting, there is a demand to use technology to create a way for patients to train medical exe