Research Article
A Micro Neural Network for Healthcare Sensor Data Stream Classification in Sustainable and Smart Cities
Table 3
The performance comparison between MicroNN and state-of-the-art methods based on MIT-BIH-AR.
| Work | Overall ACC(%) | N (%) | S (%) | V (%) | PRE | REC | F1 | PRE | REC | F1 | PRE | REC | F1 |
| MicroNN | 98.4 | 99.0 | 99.2 | 99.1 | 95.1 | 93.3 | 94.2 | 96.5 | 97.3 | 96.8 | Llamedo and Martinez [45] | 78.0 | 99.1 | 78.0 | 87.3 | 41.0 | 76.0 | 53.3 | 88.0 | 83.0 | 85.4 | De Chazal et al. [46] | 81.9 | 99.2 | 86.9 | 92.6 | 38.5 | 75.9 | 51.1 | 81.9 | 77.7 | 80.0 | He et al. [47] | 95.1 | 97.6 | 97.5 | 97.6 | 59.4 | 83.8 | 69.5 | 90.2 | 80.4 | 85.0 | Zhai and Tin [48] | 97.6 | 98.5 | 97.6 | 98.0 | 74.0 | 76.8 | 75.4 | 92.4 | 93.8 | 93.1 | Lee et al. [49] | 98.1 | 99.6 | 97.4 | 98.5 | 77.6 | 91.5 | 84.0 | 86.0 | 89.2 | 87.6 | Li et al. [50] | 98.1 | 98.0 | 99.8 | 98.9 | 94.7 | 68.7 | 79.6 | 91.1 | 95.5 | 93.2 | Niu et al. [51] | 97.5 | 97.4 | 98.9 | 98.1 | 76.6 | 76.5 | 76.5 | 94.1 | 85.7 | 89.7 |
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