You will get Seizure Detection system using EEG Sensor and Machine Learning model
Project details
Epilepsy remains uncurable and there are measure taken to protect the patient from brain damage or physical injury in case
of seizures. Seizure detection is now largely being done via computer aided algorithms. With the introduction of deep learning
and powerful hardware manual feature extraction before feeding in data to train is not required. The objective of this study was
to use EEG signals to detect seizures using a CNN architecture and compare performance for time and frequency domain input.
The objective of training a CNN to detect various phases of an elliptic seizure using EEG data was achieved quite successfully.
The results demonstrate that a simpler architecture is easier to train when the resources are limited. A modified architecture is
not necessary when a simple architecture gives satisfactory results. Furthermore, the architecture involving frequency domain
signals outperforms the ones involving time domain.
of seizures. Seizure detection is now largely being done via computer aided algorithms. With the introduction of deep learning
and powerful hardware manual feature extraction before feeding in data to train is not required. The objective of this study was
to use EEG signals to detect seizures using a CNN architecture and compare performance for time and frequency domain input.
The objective of training a CNN to detect various phases of an elliptic seizure using EEG data was achieved quite successfully.
The results demonstrate that a simpler architecture is easier to train when the resources are limited. A modified architecture is
not necessary when a simple architecture gives satisfactory results. Furthermore, the architecture involving frequency domain
signals outperforms the ones involving time domain.
Machine Learning Tools
BigDL, deeplearn.js, GitHub Copilot, Google Sheets, Keras, Microsoft Excel, MLflow, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$45
|
Standard
$65
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 5 days | 5 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 2 | 3 | 4 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
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Fast Delivery
+$10
Additional Revision
+$10
Additional Model Variation
(+ 3 Days)
+$20
Additional Scenario
(+ 3 Days)
+$20
Additional Graph/Chart
(+ 1 Day)
+$2
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Aamir M.
Oct 31, 2024
Python script editing for image processing task
About Abdelrahman
Machine Learning & Computer Vision Specialist - IoT Developer
Alexandria, Egypt - 1:48 am local time
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