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Lightweight Deep Learning Approaches on Edge Devices for Fetal Movement Monitoring

Fetal movement monitoring (FMM) is crucial for assessing fetal well-being, traditionally relying on clinical assessments or maternal perception, each with inherent limitations. This study presents a novel lightweight deep learning framework for real-time FMM on edge devices. Data were collected from...

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Principais autores: Atcharawan Rattanasak, Talit Jumphoo, Kasidit Kokkhunthod, Wongsathon Pathonsuwan, Rattikan Nualsri, Sittinon Thanonklang, Pattama Tongdee, Porntip Nimkuntod, Monthippa Uthansakul, Peerapong Uthansakul
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-10-01
coleção:Biosensors
Assuntos:
fetal movement detection
deep learning
embedded system
knowledge distillation
Acesso em linha:https://www.mdpi.com/2079-6374/15/10/662
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