Shankar-16 / Epilepsy Detection using TinyML Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.

Epilepsy Detection using TinyML

Accelerometer

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (60 samples)

View all

2.2c0ep6ed

ID: 73015730

Label: 2

Sample length: 10s

n1.2c0dqu3l

ID: 73015743

Label: 1

Sample length: 10s

2.2c0eq4sc

ID: 73015726

Label: 2

Sample length: 10s

n1.2c0e0s8v

ID: 73015741

Label: 1

Sample length: 10s

2.2c0elppj

ID: 73015733

Label: 2

Sample length: 10s

2.2c0eog0d

ID: 73015732

Label: 2

Sample length: 10s

2.2c0ir7tu

ID: 73015709

Label: 2

Sample length: 10s

2.2c0j3jan

ID: 73015698

Label: 2

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

87.2%

Test set

81.9%

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Unoptimized (float32))

Latency

9 ms.

Peak RAM usage

4.7K

Flash usage

20.1K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

10m 0s

Sensors

accX, accY, accZ @ 62.5Hz

Labels

1, 2

Project info

Project ID	35219
Project version	1
License	No license attached
No. of views	6,564
No. of clones	29