Edge Impulse Inc. / PhysioNet ECG Dataset - Wavelets Public
Target: MacBook Pro 16" 2020 (Intel Core i9 2.4GHz) Clone this project

Test data

Set confidence thresholds
Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
NSR.test_48 NSR 2m 11s 89% 33 NSR, 2 ARR, 2 uncertain
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NSR.test_45 NSR 2m 11s 100% 37 NSR
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NSR.test_42 NSR 2m 11s 95% 35 NSR, 2 CHF
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NSR.test_36 NSR 2m 11s 84% 31 NSR, 5 ARR, 1 uncertain
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NSR.test_31 NSR 2m 11s 62% 23 NSR, 11 ARR, 3 uncertain
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NSR.test_28 NSR 2m 11s 57% 21 NSR, 13 ARR, 3 uncertain
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NSR.test_25 NSR 2m 11s 27% 23 ARR, 10 NSR, 4 uncertain
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CHF.train_102 CHF 2m 11s 84% 31 CHF, 5 ARR, 1 uncertain
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CHF.train_99 CHF 2m 11s 84% 31 CHF, 4 ARR, 2 uncertain
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CHF.test_8 CHF 2m 11s 97% 36 CHF, 1 ARR
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CHF.test_4 CHF 2m 11s 3% 36 ARR, 1 CHF
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CHF.test_2 CHF 2m 11s 97% 36 CHF, 1 ARR
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ARR.train_87 ARR 2m 11s 86% 32 ARR, 3 NSR, 2 uncertain
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ARR.train_80 ARR 2m 11s 3% 34 CHF, 2 uncertain, 1 ARR
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ARR.train_72 ARR 2m 11s 81% 30 ARR, 5 CHF, 2 uncertain
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ARR.train_69 ARR 2m 11s 100% 37 ARR
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ARR.train_64 ARR 2m 11s 97% 36 ARR, 1 CHF
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ARR.train_60 ARR 2m 11s 100% 37 ARR
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ARR.train_50 ARR 2m 11s 92% 34 ARR, 2 NSR, 1 CHF
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ARR.train_46 ARR 2m 11s 59% 22 ARR, 10 CHF, 3 NSR, 2 uncertain
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ARR.train_41 ARR 2m 11s 30% 25 CHF, 11 ARR, 1 uncertain
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ARR.train_40 ARR 2m 11s 97% 36 ARR, 1 uncertain
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ARR.train_39 ARR 2m 11s 86% 32 ARR, 3 NSR, 2 CHF
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ARR.train_33 ARR 2m 11s 100% 37 ARR
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ARR.train_25 ARR 2m 11s 97% 36 ARR, 1 uncertain
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ARR.train_24 ARR 2m 11s 0% 36 NSR, 1 uncertain
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ARR.train_23 ARR 2m 11s 100% 37 ARR
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ARR.train_2 ARR 2m 11s 100% 37 ARR
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ARR.train_16 ARR 2m 11s 89% 33 ARR, 3 CHF, 1 uncertain
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ARR.train_6 ARR 2m 11s 100% 37 ARR
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ARR.train_19 ARR 2m 11s 95% 35 ARR, 2 CHF
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Model testing output

Results

Model version:
Accuracy
77.16%

Confusion matrix

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Feature explorer

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