you don't have to know biomedical to build this we will help with the bio information but we want to measure EMG signal from hand (Data Acquisition , Preprocessing, Feature Extraction (differ between contraction, extension) and to make threshold to give volt for the weak signals further details could be explained if interested
Hi...I have already designed Myoware sensor using arduino .If you are serious towards this project than i can provide you the complete work within 1 to 2 days .If you need hardware than i can also provide that.
hello dear project owner i am an Electronic Engineer with experience in embedded system designing and PCB designing i have done similar project with emg senspr to control robotic arm and also i made a wireless robot to be controlled by eye blinking using sensor.
hope to hear from you.
Hello sir,
This is my project FES Device I worked and finished for 2 years. You can check details at my profile. If you answer me we can talk about details.
Thank you.
I have 3 years experience in Iot and embedded systems and have worked good hands on both hardware and software.
I have worked on many projects that are as follows:
Project based medical like KVP meter etc.
Smart lock based on esp8266
Smart water management system based on esp8266 and AWS server
Smart energy meter solution
Smart curtain controller
all the above are based on esp8266 and AWS server
i have also worked on electric vehicle and implemented internet of things concept there too.
we just need your patience and my hardwork.
looking forward to work with you
regards
Prashant Mishra
Projects implemented as Freelancer:
Spectrum sensing and sharing using Warp board
Speech Recognition system using Machine learning
Potato classification using SVM classifier
Speed motor controller using Optimization Technique
Energy efficient network using SOFM-PSO for WSN
Breast Cancer Detection using ANFIS
Segmentation of Chest X-ray data for COVID detection
Noise reduction in hearing aid using wavelet and adaptive filter using DSK 6713
Comparative design with improvement in performance factor through delay line canceller in MTI Radar
Implementation of LMS algorithm towards Acoustic Echo Cancellation using DSK 6713
Speech Analysis and Feature Extraction using SCILAB
Land use land change effect using Deep learning