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▷ #Epileptic disease clustering with #MachineLearning #ML based on #FPGA

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  ⭐⭐⭐⭐⭐  #Epileptic disease clustering with #MachineLearning #ML based on #FPGA ➡️  #DigitalSystems #DigitalElectronic #DigitalCircuits #HDL #VHDL #FPGA ⭐  https://github.com/vasanza/MSI-VHDL 🥇   Example: Epileptic seizure prediction with Machine Learning #ML using #Matlab ✅  Objectives: Preprocesar la señales #EEG utilizando un filtro paso banda. Caracterizar las señales #EEG en el dominio del tiempo. Comparar el desempeño de al menos dos redes neuronales para series temporales. Medir los tiempos de procesamiento, % de CPU utilizado y % de memoria utilizada, en el procesador #NIOSII, #ARM ó ambos, según sea el caso (radar chart). ✅  Goals: Implementar un Sistema Embebido basado en #FPGA que lea datos preprocesados (.csv o .mat) almacenados en memoria Double Data Rate 3 Synchronous Dynamic Random-Access Memory #DDR3_SDRAM, el acceso se lo realizará a través del Hard Processor System #HPS. El proceso de entrenamiento de la red neuronal para series temp...

▷ #DATASETS: ELECTROMYOGRAPHY #EMG OF THE EXTRAOCULAR MUSCLES #EOM

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⭐⭐⭐⭐⭐ #DATASETS: ELECTROMYOGRAPHY #EMG OF THE EXTRAOCULAR MUSCLES #EOM ✅  Dataset Citation: Victor Asanza, Jesús Miranda, Nathaly Sánchez, Enrique Peláez, Francis Loayza, Diego Hernan Peluffo-Ordóñez, March 10, 2021, "Electromyography (EMG) of the Extraocular Muscles (EOM)", IEEE Dataport, doi: https://dx.doi.org/10.21227/bhpj-mz94. Read related topics :    ✅  2020 Paper: Implementation of a Classification System of #EEG Signals Based on #FPGA ➡️  #EMG signal classification with Machine Learning #ML using #Matlab ✅  Epileptic seizure prediction with Machine Learning #ML using #Matlab ✅  #EEG signal classification with Machine Learning #ML using #Matlab ⭐  Machine Learning #ML using #Matlab ⭐  2019: Artificial Neural Network based #Accelerometer and #Gyroscope recognition for gesture communication (#InnovateFPGA) ➡️  2018 Paper: #EMG Signal Processing with Clustering Algorithms for Motor Gesture Tasks ✅  2017 Paper: #EEG S...

▷ Global #chip shortage: How #microchips became one of the worlds most precious resources

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  ⭐⭐⭐⭐⭐  Global #chip shortage: How #microchips became one of the worlds most precious resources If you’re having a hard time buying a PS5, the global semiconductor shortage is probably to blame. A shortfall of the little chips is slowing down big industries. Whether we're talking consumer electronics, cars, medical devices, airplanes, smart appliances or wearables, their common component is chips. The coronavirus pandemic has changed consumer behaviors. We're buying personal computers, new phones and tablets, so we can work from home. And to cope with the lockdowns, companies are continuously upgrading their digital infrastructure to enable remote working. All these purchases are driving up the demand for chips. At the beginning, a pandemic came with an estimated economic downturn and industries such as automakers slashed chip purchases. But the economy in East Asia bounced back sooner than expected with more demand for cars. And most carmakers keep limited inventory. So righ...

▷ IX Jornadas Académicas y I Congreso Científico de Ciencias e Ingeniería: Clasificación de señales de Electroencefalografía #EEG con Redes Neuronales #NN en #FPGA

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⭐⭐⭐⭐⭐ IX Jornadas Académicas y I Congreso Científico de Ciencias e Ingeniería: Clasificación de señales de Electroencefalografía #EEG con Redes Neuronales #NN en #FPGA from Victor Asanza ➡️ #DigitalSystems #DigitalElectronic #DigitalCircuits #HDL #VHDL #FPGA Paper: ➡️   V. Asanza, A. Constantine, S. Valarezo and E. Peláez, "Implementation of a Classification System of EEG Signals Based on FPGA," 2020 Seventh International Conference on  eDemocracy & eGovernment (ICEDEG), Buenos Aires, Argentina, 2020, pp. 87-92, doi: 10.1109/ICEDEG48599.2020.9096752. ⭐ Field Programmable Gate Arrays #FPGAs V. A. Armijos, N. S. Chan, R. Saquicela and L. M. Lopez, "Monitoring of system memory usage embedded in FPGA," 2020 International Conference on  Applied Electronics (AE), Pilsen, Czech Republic, 2020, pp. 1-4, doi: 10.23919/AE49394.2020.9232863. C. Angel Silva, V. Asanza, N. Sánchez and J. Arias, "Implementation Of Automated System For The Reservoir 66 of the Irrigat...

▷ 11th IFAC Symposium on Biological and Medical Systems #BMS2021

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  ⭐⭐⭐⭐⭐ 11th IFAC Symposium on Biological and Medical Systems #BMS2021 Healthcare systems, biological systems, pharmaceutical systems and everything stemming from these are welcomed topics to our 11th IFAC Symposium on Biological and Medical Systems (BMS2021), organized in Ghent, Belgium, through 19-22 September 2021. ⭐Conference proceedings will appear in IFAC-PapersOnline, indexed in WoS and Scopus . ➡️ # BMS2021 is a Hybrid Event with both on-site and online presentations/activities . ✅ Open Invited Track (OIT): Title: Applications of artificial intelligence in medicine code: 8r88n ⭐ bms2021.ugent.be/OIT ➡️ Steps to Submit a contribution : Enter the following link: https://ifac.papercept.net/conferences/scripts/start.pl  Find the conference " BMS 2021 " (11th IFAC Symposium on Biological and Medical Systems. Sept 19-22, 2021, Ghent, Belgium) To publish an article click on the link: " Submit a contribution to BMS 2021 " Select " Invited Paper " Please ...

▷ SOLUCIÓN EVALUACIÓN SISTEMAS DIGITALES 2, Mejoramiento (2020 PAO 2)

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⭐⭐⭐⭐⭐ Maximum and minimum value finder in #RAM memory using #FPGA ⭐⭐⭐⭐⭐ SOLUCIÓN EVALUACIÓN SISTEMAS DIGITALES 2, Mejoramiento (2020 PAO 2) from Victor Asanza ➡️ #DigitalSystems #DigitalElectronic #DigitalCircuits #HDL #VHDL #FPGA ⭐  https://github.com/vasanza/MSI_VHDL La siguiente partición funcional que incluye una Maquina Secuencial Sincrónica (MSS), debe realizar la búsqueda en una memoria RAM del valor Máximo y el valor Mínimo. El ingreso de estos valores de 8 bits se debe realizar de uno a uno en la memoria RAM, estos valores se ingresan por el puerto “Data”. Mientras se están ingresando los datos, la MSS pone en alto la salida “WritingData”, indicando que este proceso está siendo ejecutado y el mismo no terminará hasta completar el ingreso de los 255 valores. La búsqueda del valor Máximo y Mínimo se deberá realizar utilizando dos registros que almacenen estos valores, para lo cual se recomienda usar el “Reg_Sost_1” para almacenar el valor Máximo y el “Reg_Sost...