An enhanced fully automatic ventricular heartbeat classification inspired by cyclic echo state networks /
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| Main Author: | |
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| Format: | Thesis Book |
| Language: | English |
| Published: |
2022.
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| Subjects: | |
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| LEADER | 01356nam a2200337 i 4500 | ||
|---|---|---|---|
| 001 | u1157781 | ||
| 003 | SIRSI | ||
| 005 | 202209121248 | ||
| 008 | 220912s2022 my a m 000 0 eng | ||
| 040 | |a UMM |e rda | ||
| 090 | |a QA76 |b UMP 2022 Mas | ||
| 100 | 1 | |a Mastoi, Qurat-Ul-Ain, |e author. | |
| 245 | 1 | 3 | |a An enhanced fully automatic ventricular heartbeat classification inspired by cyclic echo state networks / |c Qurat-Ul-Ain Mastoi. |
| 264 | 1 | |c 2022. | |
| 300 | |a xviii, 176 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 336 | |a still image |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b Ph.D. |c Jabatan Sistem Maklumat, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya |d 2022. | ||
| 504 | |a Bibliography: leaves 138-173. | ||
| 530 | |a Also issued in CD. | ||
| 596 | |a 1 | ||
| 650 | 0 | |a Arrhythmia |x Diagnosis |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Signal processing. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Sistem Maklumat, |e degree granting institution. | |
| 900 | |a US | ||
| 999 | |a QA76 UMP 2022 MAS |w LC |c 1 |i A517627711 |f 23/11/2022 |g 1 |l RESTRICTED |m P01UTAMA |r Y |s Y |t TESIS |u 12/9/2022 |1 AHSS |o .PUBLIC. Embargoed until 01.01.2024 |o .STAFF. Item kept in BPM 23.11.2022 - msp | ||