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Real-time biosignal classification in power-constrained embedded applications is a key step in designing portable e-healtb devices requiring hardware integration along with concurrent signal processing. This paper presents an application based on a novel biomedical System-On-Chip (SoC) for signal acquisition and processing combining a homogeneous multi-core cluster with a versatile bio-potential front-end...
This paper describes the architecture of a wearable, wireless embedded system for the Diabetic Peripheral Neuropathy (DPN) assessment in ordinary dynamic movements, such as a fluid gait. In this context, the EMG analysis can provide information about the nerves status by estimating the linked Muscle Fiber Conduction Velocity (MFCV). The system operates with synchronized and digitized data samples...
The need for diagnostic tools for the characterization of progressive movement disorders — as the Parkinson Disease (PD) — aiming to early detect and monitor the pathology is getting more and more impelling. The parallel request of wearable and wireless solutions, for the real-time monitoring in a non-controlled environment, has led to the implementation of a Quantitative Gait Analysis platform for...
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