Arrhythmia detection using ecg database

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Python , ML , Deep learning Expert. I can do it. As 9+ years experiences in these field. I can give good quality work. I have read the guidelines of your work.I believe that i can provide you the best quality works y Več

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Hi, I have read your requirements for the detection of medical Arrhytmia. I would love to help you with providing the required python based models for arrhythmia detection, Alexnet, resnet 18, resnet 50, vgg-16, Mobile Več

Hi, I have read your project description. I am available to start on this project. Can we proceed it now, Thank you.

Hi I am a professional computer vision engineer already done a similar project using all mentioned models using, Alexnet, resnet 18, resnet 50, vgg-16, Mobilenet and efficientnet (v1 and v2). I would share with you, Več

Hi sir Im Edvin I’m PhD in Machine Learning and Deep learning. I'm senior data anlalyst &Scienctist. . I have also done MS Data Science. I have 7 years of experience in Data Engineering, Machine learning, NLP, and Ar Več

I am a PhD in Computer Vision with 14 years of experience in developing and deploying DL solutions for various Image Processing and Computer Vision jobs. I am particularly expertise in object tracking/ OCR/ object iden Več

Hi toobakhan292, I understand the scope of work to develop an Arrhythmia detection system using ecg and physionet dataset. My team and I will assist you with -: ➜ Data Preprocessing ➜ Feature Extraction ➜ Label Gener Več

Dear Client, I am responding to the task-"Arrhythmia detection using ecg database". I have been looking forward to this type of task since I have experience of utilizing Tensorflow or PyTorch to build various deep mod Več

I have completed my thesis on the very same topic of detecting Arthymia on ECG signals and classifying them into different categories. I successfully got an accuracy of more than 98% on the MIT-BIH dataset.

As a skilled freelance data scientist specializing in healthcare analytics, I am thrilled to submit my bid for your arrhythmia detection project using an ECG (Electrocardiogram) database. With a strong background in m Več