More Like this

1. Smart Health Integrated Framework and Topology (SHIFT) for Smart and Connected Community

   https://doi.org/10.1109/EIT51626.2021.9491837  

   Morshed, Bashir I. (May 2021, IEEE International Conf on Electro-Information Technology)
2. Using EEG Signal for Smart Health: An Overview

   Clark, Addison; Bonyata, Bonyata; Ahmad, Ishfaq; Lei, Hansheng; Saifullah, Khalid; Ibarra, Victor (July 2024, Springer Nature)

   Arabnia, Hamid; Deligiannidis, Leonidas; Tinetti, Fernando; Tran, Quoc-Nam (Ed.)

   This survey paper aims to provide an overview of the current state of EEG (Electroencephalography) signal technology as it relates to people with disabilities. It will highlight the various methods and techniques employed, discussing their advantages and disadvantages. The paper will also examine the applications of EEG technology in assisting individuals with disabilities, specifically focusing on Brain-Computer Interfaces (BCIs) and assistive device control. By understanding the current state of EEG signal technology, we can identify the opportunities and challenges involved in utilizing this technology to improve the lives of people with disabilities 

   more » « less
3. Advancements in flexible biomechanical energy harvesting for smart health applications

   https://doi.org/10.1039/D4CC05917D  

   Wang, Yuxiao; Sun, Mengdie; Kwon, Sun Hwa; Dong, Lin (February 2025, Chemical Communications)

   Advancing flexible electronics enables timely smart health management and diagnostic interventions. However, current health electronics typically rely on replaceable batteries or external power sources, requiring direct contact with the human skin or organs. This setup often results in rigid and bulky devices, reducing user comfort during long-term use. Flexible biomechanical energy harvesting technology, based on triboelectric or piezoelectric strategies, offers a promising approach for continuous and comfortable smart health applications, providing a sustainable power supply and self-powered sensing. This review systematically examines biomechanical energy sources around the human body, explores various energy harvesting mechanisms and their applications in smart health, and concludes with insights and future perspectives in this field. 

   more » « less
4. Scalable and Upgradable AI for Detected Beat-By-Beat ECG Signals in Smart Health

   https://doi.org/10.1109/AIIoT58121.2023.10174482  

   Tsai, I Hua; Morshed, Bashir I. (June 2023, IEEE)
5. Implementation Techniques for Transcutaneous Carbon Dioxide Monitoring: Approaches for Wearable Smart Health Applications

   https://doi.org/10.1109/TBME.2023.3322871  

   Tufan, Tuna B.; Rhein, Lawrence; Guler, Ulkuhan (March 2024, IEEE Transactions on Biomedical Engineering)