Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent advances in wireless body area sensor net- works leverage wireless and mobile communication technologies to facilitate development of innovative medical applications that can significantly enhance healthcare services and improve quality of life. Specifically, Electroencephalography (EEG)-based applications lie at the heart of these promising technologies. Hover, the design and operation of such applications is challenging. Por consumption requirements of the sensor nodes may turn some of these applications impractical. Hence, implementing efficient encoding schemes are essential to reduce por consumption in such applications. ,  propose an analytical distortion model for the EEG-based encoding systems. Using this model, the encoder can effectively reconfigure its complexity by adjusting its control parameters to satisfy application constraints while maintaining reconstruction accuracy at the receiver side. The simulation results illustrate that the main parameters that affect the distortion are compression ratio and filter length of the considered DWT-based encoder. Furthermore, it is found that the wireless channel variations have a significant influence on the estimated distortion at the receiver side.
['Alaa Awad', 'Medhat H. M. Elsayed', 'Amr Mohamed']
I am writing a research paper on a idea Encoding Distortion Modeling For DWT-Based Wireless EEG Monitoring System
[{"from": "human", "value": "I am writing a research paper on a idea Encoding Distortion Modeling For DWT-Based Wireless EEG Monitoring System"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent advances in wireless body area sensor net- works leverage wireless and mobile communication technologies to facilitate development of innovative medical applications that can significantly enhance healthcare services and improve quality of life. Specifically, Electroencephalography (EEG)-based applications lie at the heart of these promising technologies. Hover, the design and operation of such applications is challenging. Por consumption requirements of the sensor nodes may turn some of these applications impractical. Hence, implementing efficient encoding schemes are essential to reduce por consumption in such applications. ,  propose an analytical distortion model for the EEG-based encoding systems. Using this model, the encoder can effectively reconfigure its complexity by adjusting its control parameters to satisfy application constraints while maintaining reconstruction accuracy at the receiver side. The simulation results illustrate that the main parameters that affect the distortion are compression ratio and filter length of the considered DWT-based encoder. Furthermore, it is found that the wireless channel variations have a significant influence on the estimated distortion at the receiver side."}]