Research Article
[Retracted] Featureless Blood Pressure Estimation Based on Photoplethysmography Signal Using CNN and BiLSTM for IoT Devices
| | Layer | Filter size | #filter/hidden units | Input size |
| | Input | — | — | | | Conv_1 | | 2 | | | ReLU_1 | — | — | | | BN_1 | — | — | | | Maxpool_1 | | — | | | Conv_2 | | 10 | | | ReLU_2 | — | — | | | BN_2 | — | — | | | Maxpool_2 | | — | | | Conv_3 | | 20 | | | ReLU_3 | — | — | | | BN_3 | — | — | | | Maxpool_3 | | — | | | Conv_4 | | 40 | | | ReLU_4 | — | — | | | BN_4 | — | — | | | Maxpool_4 | | — | | | Flatten | — | — | 28000 | | BiLSTM_1 | — | 128 | 256 | | BiLSTM_2 | — | 350 | 700 | | FC | — | — | 2 |
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