Dataset from PPG wireless sensor for activity monitoring
Author:
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference11 articles.
1. TROIKA: a general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise;Zhang;IEEE Trans. Biomed. Eng.,2015
2. Photoplethysmography-based heart rate monitoring in physical activities via joint sparse spectrum reconstruction;Zhang;IEEE Trans. Biomed. Eng.,2015
3. PREHEAT: precision heart rate monitoring from intense motion artifact corrupted PPG signals using constrained RLS and wavelets;Islam;Biomed. Signal Process. Control,2017
4. SFST: a robust framework for heart rate monitoring from photoplethysmography signals during physical activities;Zhao;Biomed. Signal Process. Control,2016
5. Human activity recognition using accelerometer and photoplethysmographic signals;Biagetti,2018
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1. Exploring the Possibility of Photoplethysmography-Based Human Activity Recognition Using Convolutional Neural Networks;Sensors;2024-03-01
2. Simple to Complex, Single to Concurrent Sensor-Based Human Activity Recognition: Perception and Open Challenges;IEEE Access;2024
3. A Study on the Implementation of Temporal Noise-Robust Methods for Acquiring Vital Signs;IEEE Access;2024
4. Research on Fine-Grained Human Motion Recognition Based on PPG and ConvLSTM;Modeling and Simulation;2024
5. PPG Signal-Based Activity Recognition for Health and Fitness Monitoring;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
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