End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables
Fuente:
arXiv
Guardado en:
| Autores principales: | Carlucci, Francesco, Pollo, Giovanni, Wang, Xiaying, Poncino, Massimo, Macii, Enrico, Benini, Luca, Vinco, Sara, Burrello, Alessio, Pagliari, Daniele Jahier |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
por: Burrello, Alessio, et al.
Publicado: (2024)
por: Burrello, Alessio, et al.
Publicado: (2024)
Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction
por: Pollo, Giovanni, et al.
Publicado: (2024)
por: Pollo, Giovanni, et al.
Publicado: (2024)
EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation
por: Benfenati, Luca, et al.
Publicado: (2024)
por: Benfenati, Luca, et al.
Publicado: (2024)
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices
por: Daghero, Francesco, et al.
Publicado: (2024)
por: Daghero, Francesco, et al.
Publicado: (2024)
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices
por: Hamdi, Mohamed Amine, et al.
Publicado: (2024)
por: Hamdi, Mohamed Amine, et al.
Publicado: (2024)
Late Breaking Results: CHESSY: Coupled Hybrid Emulation with SystemC-FPGA Synchronization
por: Ruotolo, Lorenzo, et al.
Publicado: (2026)
por: Ruotolo, Lorenzo, et al.
Publicado: (2026)
Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers
por: Daghero, Francesco, et al.
Publicado: (2025)
por: Daghero, Francesco, et al.
Publicado: (2025)
Model-Driven Dataset Generation for Data-Driven Battery SOH Models
por: Alamin, Khaled Sidahmed Sidahmed, et al.
Publicado: (2024)
por: Alamin, Khaled Sidahmed Sidahmed, et al.
Publicado: (2024)
BlankSkip: Early-exit Object Detection onboard Nano-drones
por: Marra, Carlo, et al.
Publicado: (2026)
por: Marra, Carlo, et al.
Publicado: (2026)
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks
por: Motetti, Beatrice Alessandra, et al.
Publicado: (2024)
por: Motetti, Beatrice Alessandra, et al.
Publicado: (2024)
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones
por: Risso, Matteo, et al.
Publicado: (2024)
por: Risso, Matteo, et al.
Publicado: (2024)
Foundation Models for Structural Health Monitoring
por: Benfenati, Luca, et al.
Publicado: (2024)
por: Benfenati, Luca, et al.
Publicado: (2024)
MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design
por: Pollo, Giovanni, et al.
Publicado: (2025)
por: Pollo, Giovanni, et al.
Publicado: (2025)
SilentWear: an Ultra-Low Power Wearable System for EMG-based Silent Speech Recognition
por: Spacone, Giusy, et al.
Publicado: (2026)
por: Spacone, Giusy, et al.
Publicado: (2026)
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays
por: Risso, Matteo, et al.
Publicado: (2024)
por: Risso, Matteo, et al.
Publicado: (2024)
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data
por: Risso, Matteo, et al.
Publicado: (2024)
por: Risso, Matteo, et al.
Publicado: (2024)
OnDA: On-device Channel Pruning for Efficient Personalized Keyword Spotting
por: Risso, Matteo, et al.
Publicado: (2026)
por: Risso, Matteo, et al.
Publicado: (2026)
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time
por: Risso, Matteo, et al.
Publicado: (2024)
por: Risso, Matteo, et al.
Publicado: (2024)
Integrating SystemC TLM into FMI 3.0 Co-Simulations with an Open-Source Approach
por: Albu, Andrei Mihai, et al.
Publicado: (2025)
por: Albu, Andrei Mihai, et al.
Publicado: (2025)
Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design
por: Pollo, Giovanni, et al.
Publicado: (2025)
por: Pollo, Giovanni, et al.
Publicado: (2025)
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring
por: Benfenati, Luca, et al.
Publicado: (2024)
por: Benfenati, Luca, et al.
Publicado: (2024)
Don't be so Stief! Learning KV Cache low-rank approximation over the Stiefel manifold
por: Benfenati, Luca, et al.
Publicado: (2026)
por: Benfenati, Luca, et al.
Publicado: (2026)
Optimizing Foundation Model Inference on a Many-tiny-core Open-source RISC-V Platform
por: Potocnik, Viviane, et al.
Publicado: (2024)
por: Potocnik, Viviane, et al.
Publicado: (2024)
V-Seek: Accelerating LLM Reasoning on Open-hardware Server-class RISC-V Platforms
por: Rodrigo, Javier J. Poveda, et al.
Publicado: (2025)
por: Rodrigo, Javier J. Poveda, et al.
Publicado: (2025)
MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs
por: Russo, Enrico, et al.
Publicado: (2026)
por: Russo, Enrico, et al.
Publicado: (2026)
Before Parc Fermé: RL-Time Pruning for Efficient Embodied LLMs in Autonomous Driving
por: Benfenati, Luca, et al.
Publicado: (2026)
por: Benfenati, Luca, et al.
Publicado: (2026)
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms
por: Van Delm, Josse, et al.
Publicado: (2024)
por: Van Delm, Josse, et al.
Publicado: (2024)
MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices
por: Hamdi, Mohamed Amine, et al.
Publicado: (2024)
por: Hamdi, Mohamed Amine, et al.
Publicado: (2024)
Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA
por: Carpentieri, Nicolò, et al.
Publicado: (2024)
por: Carpentieri, Nicolò, et al.
Publicado: (2024)
Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones
por: Motetti, Beatrice Alessandra, et al.
Publicado: (2024)
por: Motetti, Beatrice Alessandra, et al.
Publicado: (2024)
Improving Continual Learning for Gaussian Splatting based Environments Reconstruction on Commercial Off-the-Shelf Edge Devices
por: Zaino, Ivan, et al.
Publicado: (2026)
por: Zaino, Ivan, et al.
Publicado: (2026)
Fused-Tiled Layers: Minimizing Data Movement on RISC-V SoCs with Software-Managed Caches
por: Jung, Victor J. B., et al.
Publicado: (2025)
por: Jung, Victor J. B., et al.
Publicado: (2025)
Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology
por: Wang, Xiaying, et al.
Publicado: (2023)
por: Wang, Xiaying, et al.
Publicado: (2023)
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
por: Mascolini, Alessio, et al.
Publicado: (2024)
por: Mascolini, Alessio, et al.
Publicado: (2024)
Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation
por: Tóth, Bálint, et al.
Publicado: (2025)
por: Tóth, Bálint, et al.
Publicado: (2025)
Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization
por: Ruggeri, Giuseppe, et al.
Publicado: (2025)
por: Ruggeri, Giuseppe, et al.
Publicado: (2025)
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
por: Jung, Victor J. B., et al.
Publicado: (2024)
por: Jung, Victor J. B., et al.
Publicado: (2024)
An Ultra-Low Power Wearable BMI System with Continual Learning Capabilities
por: Mei, Lan, et al.
Publicado: (2024)
por: Mei, Lan, et al.
Publicado: (2024)
NanoHydra: Energy-Efficient Time-Series Classification at the Edge
por: Cioflan, Cristian, et al.
Publicado: (2025)
por: Cioflan, Cristian, et al.
Publicado: (2025)
MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain--Machine Interfaces with EEG Channel Selection
por: Wang, Xiaying, et al.
Publicado: (2022)
por: Wang, Xiaying, et al.
Publicado: (2022)
Ejemplares similares
-
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
por: Burrello, Alessio, et al.
Publicado: (2024) -
Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction
por: Pollo, Giovanni, et al.
Publicado: (2024) -
EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation
por: Benfenati, Luca, et al.
Publicado: (2024) -
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices
por: Daghero, Francesco, et al.
Publicado: (2024) -
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices
por: Hamdi, Mohamed Amine, et al.
Publicado: (2024)