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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.
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.
ECG_Classification
ECG Classification is the Edge Impulse project used to develop and deploy a lightweight cardiac anomaly detection model. Here, ECG data is collected, processed, and used to design optimized impulses for TinyML. The trained model runs directly on embedded hardware for real-time, on-device inference.
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Dataset summary
Data collected
2m 40sSensor
value @ 1000HzLabels
F, N, Q, S, VProject info
| Project ID | 359630 |
| License | Apache 2.0 |
| No. of views | 8 |
| No. of clones | 0 |
