Power Efficient Neural Network Based Hardware Architectures for Real-Time Sleep Apnea Detection

Research output: Contribution to conference › Presentation

Original language	American English
State	Published - 26 Oct 2022
Externally published	Yes
Event	University of Missouri Undergraduate Research Workshop - Columbia, MO Duration: 1 Jan 2022 → …

Conference	University of Missouri Undergraduate Research Workshop
Period	1/01/22 → …

Keywords

@conference{29d98148de824c8387e94fab643a5a42,

title = "Power Efficient Neural Network Based Hardware Architectures for Real-Time Sleep Apnea Detection",

keywords = "low-power circuit design, VLSI, ML hardware accelerators, biomedical instrumentation and neuromorphic computing",

author = "Omiya Hassan",

year = "2022",

month = oct,

day = "26",

language = "American English",

note = "University of Missouri Undergraduate Research Workshop ; Conference date: 01-01-2022",

}

TY - CONF

T1 - Power Efficient Neural Network Based Hardware Architectures for Real-Time Sleep Apnea Detection

AU - Hassan, Omiya

PY - 2022/10/26

Y1 - 2022/10/26

KW - low-power circuit design

KW - VLSI

KW - ML hardware accelerators

KW - biomedical instrumentation and neuromorphic computing

M3 - Presentation

T2 - University of Missouri Undergraduate Research Workshop

Y2 - 1 January 2022

ER -