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In this draft, our purpose is to construct a wearable multi-lead electrocardiogram (ECG) recorder with dry metal electrodes. In general, such as arrhythmia, myocardial ischemia or other heart-related symptoms, using one lead ECG measurements is difficult to accurately diagnose, three-lead ECG should be measured at least. In order to offer sufficient identification information, our scheme is a three-lead...
Our purpose is to construct a low-cost EEG measurement system that can detect high accuracy brain wave. Our proposal includes following characteristics: low cost, compact size, portability, and easy to use. The proposed device employs the embedded microcontroller to be in charge of whole system. EEG analog front-end circuits of our proposition are based on operational amplifiers that are applied to...
In this work, we base on multi-layered perceptron neural networks with backpropagation algorithm (MLP/BP) to construct soft decision feedback equalizers (DFEs). The proposal is used to recover distorted 16-point quadrature amplitude modulation (16-QAM) signal. For better performance, error control codes (ECC) are applied to enhance the accuracy of the transmitted data. From the simulations, we note...
In this work, we base on multi-layered perceptron neural networks with backpropagation algorithm (MLP/BP) to construct multi-input multi-output (MIMO) decision feedback equalizers (DFEs). The proposal is used to recover distorted 16-point quadrature amplitude modulation (16-QAM) signal. From the simulations, we note that the proposed approach can recover severe distorted signals as well as suppress...
In this work, we base on multi-layered perceptron neural networks with backpropagation algorithm (MLP/BP) to construct multi-input multi-output (MIMO) decision feedback equalizers (DFEs). The proposal is used to recover distorted quadrature phase-shift keying (QPSK) signal. From the simulations, we note that the proposed scheme can recover severe distorted signals as well as suppress intersymbol interference...
In this work, we base on generalized multi-layered perceptron neural networks with backpropagation algorithm (generalized MLP/BP) to construct multi-input multi-output (MIMO) decision feedback equalizers (DFEs). The proposal is used to recover distorted nonreturn-to-zero (NRZ) data in wireline parallel band-limited channels. From the simulations, we note that the proposed design can recover severe...
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