Neuromorphic solutions: Digital implementation of bio-inspired spiking neural network for electrocardiogram classification
Conventional techniques of off-chip processing for wearable devices cause high hardware resource usage which leads to heat generation and increased power consumption. Hence, edge computing methods such as neuromorphic computing are considered the most promising modern technology to replace conventio...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute Of Advanced Engineering And Science (IAES)
2022
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| Online Access: | http://eprints.utem.edu.my/id/eprint/26560/2/27292-55989-1-PB%20%281%29.PDF http://eprints.utem.edu.my/id/eprint/26560/ https://ijeecs.iaescore.com/index.php/IJEECS/article/view/27292/16521 |
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| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |