Changhong Wang

According to our database, Changhong Wang authored at least 16 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Ultra-Fast Lightweight Incipient Slip Detection Using Hyperdimensional Computing With the PapillArray Tactile Sensor.

Jingtao Zhang, Yi Liu, Yanxun Lu, Stephen J. Redmond, Changhong Wang

IEEE Robotics Autom. Lett., February, 2026

Semi-supervised topic-guided contrastive learning with data augmentation for daily stress prediction using smartphone sensors.

Yi Liu, Zeju Xu, Zhijun Li, Zhen Liang, Zhiguo Zhang, Changhong Wang

Pattern Recognit., 2026

2025

An EEG Screening Method for Severe Obstructive Sleep Apnea Based on Limited Penetrable Difference Visibility Graph and Graph Convolutional Network.

Yuchen Zhang, Zhengyuan Li, Yanxun Lu, Yuxia Zhang, Guanzheng Liu, Changhong Wang

IEEE J. Biomed. Health Informatics, November, 2025

An Ordinal Pattern Similarity-Guided Supervised Prototype Contrastive Learning Framework With Enhanced Token Selection Module for Sleep Apnea Detection Based on Wearable PPG Bracelet.

Weiyan Qiu, Zhuo Chen, Yanxun Lu, Changhong Wang, Guanzheng Liu

IEEE Trans. Consumer Electron., November, 2025

DIGS-Module: A Deformable Information Gain-Guided Scale Selection Structure Based on Physiological Signals for Classification.

Yu Wang, Changhong Wang, Weiyan Qiu, Guanzheng Liu

IEEE Internet Things J., July, 2025

Graph-Weighted High-Dimensional Information-Based Similarity for Detecting Altered Brain Functional Connectivity in Sleep Apnea Patients.

Yanxun Lu, Zhe Fei, Jingtao Zhang, Zhuo Chen, Mingjing Chen, Changhong Wang, Guanzheng Liu

IEEE Trans. Instrum. Meas., 2025

A Topic-Guided Self-Attention Network for Daily Mental Wellbeing Prediction Using Mobile Devices.

Zeju Xu, Guanzheng Liu, Guozhen Zhao, Zhiguo Zhang, Chenzhong Li, Changhong Wang

IEEE Trans. Affect. Comput., 2025

2024

Energy-Efficient Sleep Apnea Detection Using a Hyperdimensional Computing Framework Based on Wearable Bracelet Photoplethysmography.

Tian Chen, Jingtao Zhang, Zeju Xu, Stephen J. Redmond, Nigel H. Lovell, Guanzheng Liu, Changhong Wang

IEEE Trans. Biomed. Eng., August, 2024

A Multiscale Cross-Modal Interactive Fusion Network for Human Activity Recognition Using Wearable Sensors and Smartphones.

Xin Yang, Zeju Xu, Haodong Liu, Peter B. Shull, Stephen J. Redmond, Guanzheng Liu, Changhong Wang

IEEE Internet Things J., 2024

2020

Smart Triggering of the Barometer in a Fall Detector Using a Semi-Permeable Membrane.

Wei Lu, Michael C. Stevens, Changhong Wang, Stephen J. Redmond, Nigel H. Lovell

IEEE Trans. Biomed. Eng., 2020

2018

A Low-Power Fall Detector Balancing Sensitivity and False Alarm Rate.

Changhong Wang, Wei Lu, Stephen J. Redmond, Michael C. Stevens, Stephen R. Lord, Nigel H. Lovell

IEEE J. Biomed. Health Informatics, 2018

2017

Selecting Power-Efficient Signal Features for a Low-Power Fall Detector.

Changhong Wang, Stephen James Redmond, Wei Lu, Michael C. Stevens, Stephen R. Lord, Nigel H. Lovell

IEEE Trans. Biomed. Eng., 2017

2016

Low-Power Fall Detector Using Triaxial Accelerometry and Barometric Pressure Sensing.

Changhong Wang, Wei Lu, Michael R. Narayanan, David Chan-Wei Chang, Stephen R. Lord, Stephen James Redmond, Nigel H. Lovell

IEEE Trans. Ind. Informatics, 2016

A Kalman filter to estimate altitude change during a fall.

Michael C. Stevens, Wei Lu, Changhong Wang, Stephen James Redmond, Nigel H. Lovell

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Low-power operation of a barometric pressure sensor for use in an automatic fall detector.

Wei Lu, Changhong Wang, Michael C. Stevens, Stephen James Redmond, Nigel H. Lovell

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014

A low-power fall detection algorithm based on triaxial acceleration and barometric pressure.

Changhong Wang, Michael R. Narayanan, Stephen R. Lord, Stephen J. Redmond, Nigel H. Lovell

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014