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Empirical Performance Limits of Iterative Compressive Sensing for Wearable ECG: A Case for Adaptive Deep Unfolding

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Τίτλος: Empirical Performance Limits of Iterative Compressive Sensing for Wearable ECG: A Case for Adaptive Deep Unfolding
Συγγραφείς: Prasasti, Anggunmeka Luhur, Rizal, Achmad, Erfianto, Bayu, Irawati, Indrarini Dyah, Raharjo, Jangkung, Ala Qanita, Nasywa Asshafwah
Πηγή: 2026 5th International Conference on Electronics Representation and Algorithm (ICERA) Electronics Representation and Algorithm (ICERA), 2026 5th International Conference on. :511-517 Jul, 2026
Relation: 2026 5th International Conference on Electronics Representation and Algorithm (ICERA)
Βάση Δεδομένων: IEEE Xplore Digital Library
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PubType: Conference
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  Data: Empirical Performance Limits of Iterative Compressive Sensing for Wearable ECG: A Case for Adaptive Deep Unfolding
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  Data: 2026 5th International Conference on Electronics Representation and Algorithm (ICERA) Electronics Representation and Algorithm (ICERA), 2026 5th International Conference on. :511-517 Jul, 2026
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  Data: 2026 5th International Conference on Electronics Representation and Algorithm (ICERA)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/ICERA72709.2026.11666597
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      – TitleFull: Empirical Performance Limits of Iterative Compressive Sensing for Wearable ECG: A Case for Adaptive Deep Unfolding
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            NameFull: Prasasti, Anggunmeka Luhur
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            NameFull: Rizal, Achmad
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            NameFull: Erfianto, Bayu
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            NameFull: Irawati, Indrarini Dyah
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            NameFull: Raharjo, Jangkung
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            NameFull: Ala Qanita, Nasywa Asshafwah
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              M: 07
              Type: published
              Y: 2026
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