Shankar-16 / Epilepsy Detection using TinyML Public

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

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Epilepsy Detection using TinyML

Accelerometer

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Data (60 samples)

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1.2c0i85hn

ID: 73015717

Label: 1

Sample length: 10s

2.2c0eog0d

ID: 73015732

Label: 2

Sample length: 10s

2.2c0eq4sc

ID: 73015726

Label: 2

Sample length: 10s

1.2c0icrb3

ID: 73015711

Label: 1

Sample length: 10s

1.2c0eieol

ID: 73015737

Label: 1

Sample length: 10s

2.2c0f449g

ID: 73015722

Label: 2

Sample length: 10s

1.2c0idbcm

ID: 73015710

Label: 1

Sample length: 10s

2.2c0elppj

ID: 73015733

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

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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	6,565
No. of clones	29