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.

WorkOverall ACC(%)N (%)S (%)V (%)
PRERECF1PRERECF1PRERECF1

MicroNN98.499.099.299.195.193.394.296.597.396.8
Llamedo and Martinez [45]78.099.178.087.341.076.053.388.083.085.4
De Chazal et al. [46]81.999.286.992.638.575.951.181.977.780.0
He et al. [47]95.197.697.597.659.483.869.590.280.485.0
Zhai and Tin [48]97.698.597.698.074.076.875.492.493.893.1
Lee et al. [49]98.199.697.498.577.691.584.086.089.287.6
Li et al. [50]98.198.099.898.994.768.779.691.195.593.2
Niu et al. [51]97.597.498.998.176.676.576.594.185.789.7