ECG -False detection Algorithm

Hi. My name is Uzair.I am in final semester of my masters in Electrical Engineering. I am doing my thesis in biomedical signal processing and Machine learning. I have the knowledge and experience of many Machine Learning and deep learning techniques as well as data analysis capabilities. In my thesis I have worked in ECG signals classification into normal abnormal and noise classes. I have in depth knowledge of ECG signals and its processing which also includes R peak detection of QRS complex. For more details you can check my profile. Looking forward to work on this project. Regards

A proposal has not yet been provided

Hi, Why am I feel confident making this bid because our team has prior knowledge in EMR, clinical management system development, Dental practice management etc.. domain of medical unit. Of course, you will be demonstrating the need in details so that I can understand the existing set of ECG waveforms and can make a custom algorithm to identify false detection. We can incorporate Graph libraries to identify the waves. I am sure there must be even smallest unit of graph that matters. Lets discuss. Regards, Mit-

We are Ukrainian software development company that employs several passionate engineers. Our main direction is the engineering, development and implementation of custom software with a deep scientific focus that requires strong skills in mathematics, physics and other exact and natural scientific disciplines. Technical leadership of the company is held by two keen scientists with Ph.D. degrees in physics, mathematics and technical sciences. During the last 5 years we have been involved in several projects related to cloud computations, math libraries, machine learning, parallel computing, CAD/CAE, engineering drawing, production costing, computer vision, remote device control, brain physics modeling, natural language processing, satellite imaginary and others. We would be happy to take care of your bold and complicated project!