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Welcome to Analizing World of Muscles

We are calculating lactate ratio on muscles with sEMG devices
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Project Proposal

Proposal
Our Story

Nowadays, machine learning has started to be used almost in many sectors of industry. We also wanted to do a project which is related to machine learning. With help of our sponsor Neurocess Limited, we aim to combine portable sEMG devices with machine learning to create a FATIGUE ANALYSIS model.

Our Vision

Our vision is to create a highly accurate machine learning model with the help of specialized data that will predict fatigue status of atheletes.

Technology
  • Machine Learning

  • Signal Processing

  • Cloud Based Techologies

  • sEMG Devices

Project Proposal Report

report

How it works

Signal Processing

Medical specialist is using sEMG devices on athletes for gathering data. This step is called signal processing. Moreover these data will be given by Neurocess Limited to us for working on it. 

Machine Learning

Machine learning is the crucial part in our project. Gathered data which are lactate test, isokinetic dynamometer and sEMG data,  will be combined to make an accurate machine learning model

How it works

Sponsor Company

Our sponsor company is Neurocess Limited which is an active company in Premier League in the sector of data driven medical application. In our project we will need lots of data and guidance for achieving high quality product.

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Our Tea

OUR TEAM

We are 4 Computer Engineering student who are willing to work for

our project.
Team Members

  • Barış PINAR

  • Öykü BİLİK

  • Beray AKAR

  • Atakan MAVZER

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Tolga Kurtulus CAPIN
Supervisor

For more information you can click on image

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Aslı GENCTAV
Jury

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Emin KUGU
Jury

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Schedule

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