Investigating Approximate Computing to design an energy-efficient deep learning architecture for anomaly detection from ECG signals

Research output: Contribution to conference › Abstract › Academic

Original language	English
Publication status	Published - 30 Jan 2025
Event	10th Dutch Biomedical Engineering Conference, BME 2025 - Hotel Zuiderduin, Egmond aan Zee, Netherlands Duration: 30 Jan 2025 → 31 Jan 2025 Conference number: 10 https://www.bme2025.nl/

Conference	10th Dutch Biomedical Engineering Conference, BME 2025
Abbreviated title	BME 2025
Country/Territory	Netherlands
City	Egmond aan Zee
Period	30/01/25 → 31/01/25
Internet address	https://www.bme2025.nl/

Cite this

@conference{b973ce667b324ee8aa25e37cd05dd048,

title = "Investigating Approximate Computing to design an energy-efficient deep learning architecture for anomaly detection from ECG signals",

author = "Dario Capitani and Ghayoor Gillani and Arlene John",

year = "2025",

month = jan,

day = "30",

language = "English",

note = "10th Dutch Biomedical Engineering Conference, BME 2025, BME 2025 ; Conference date: 30-01-2025 Through 31-01-2025",

url = "https://www.bme2025.nl/",

}

TY - CONF

T1 - Investigating Approximate Computing to design an energy-efficient deep learning architecture for anomaly detection from ECG signals

AU - Capitani, Dario

AU - Gillani, Ghayoor

AU - John, Arlene

N1 - Conference code: 10

PY - 2025/1/30

Y1 - 2025/1/30

M3 - Abstract

T2 - 10th Dutch Biomedical Engineering Conference, BME 2025

Y2 - 30 January 2025 through 31 January 2025

ER -