Review
Cardiac & Cardiovascular Systems
Andrew Hughes, Md Mobashir Hasan Shandhi, Hiral Master, Jessilyn Dunn, Evan Brittain
Summary: Wearable devices, such as smartwatches and activity trackers, are commonly used by patients to manage their health and well-being. These devices collect and analyze long-term continuous data, providing clinicians with a comprehensive view of patients' health. Wearable devices have potential applications in screening and managing cardiovascular conditions, but their widespread use faces challenges that need to be addressed for successful integration into clinical care.
CIRCULATION RESEARCH
(2023)
Article
Cardiac & Cardiovascular Systems
Steven A. Lubitz, Anthony Z. Faranesh, Caitlin Selvaggi, Steven J. Atlas, David D. McManus, Daniel E. Singer, Sherry Pagoto, Michael V. McConnell, Alexandros Pantelopoulos, Andrea S. Foulkes
Summary: Undiagnosed atrial fibrillation can be detected using a PPG algorithm on wearable devices. The algorithm has a high positive predictive value and can identify individuals at risk for atrial fibrillation.
Article
Health Care Sciences & Services
Peter Lee, Heepyung Kim, Yongshin Kim, Woohyeok Choi, M. Sami Zitouni, Ahsan Khandoker, Herbert F. Jelinek, Leontios Hadjileontiadis, Uichin Lee, Yong Jeong
Summary: This paper reviews smart masks that have emerged after the pandemic and explores their expansion, sensor technologies, and application platforms. Smart masks can address breathing discomfort from prolonged use and can be used for sensing COVID-19 and general health monitoring. Additionally, smart masks can enable group or community sensing, increasing the range and reliability of information. The service application fields for smart masks include daily-life health monitoring, sports training, protection for industry workers and soldiers, as well as respiratory hygiene in emergency rooms and ambulatory settings. Design considerations include sensor reliability, ergonomic design for user acceptance, and privacy-aware data handling.
JMIR MHEALTH AND UHEALTH
(2022)
Article
Computer Science, Artificial Intelligence
Caomingzhe Si, Yuechuan Tao, Jing Qiu, Shuying Lai, Junhua Zhao
Summary: This paper proposes an energy management strategy for controllable loads based on reinforcement learning, utilizing mathematical models and two RL algorithms to achieve proper scheduling of home energy resources based on residents' living habits and dependency modes. Through case studies, it is verified that the proposed method can effectively schedule HERs to meet established dependency modes with a relatively small difference from the optimal solution.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2021)
Article
Computer Science, Information Systems
Jiawen Li, Lianglu Xie, Zhe Chen, Liang Shi, Rongjun Chen, Yongqi Ren, Leijun Wang, Xu Lu
Summary: An assistance system based on the AIoT framework was designed to provide convenience for visually impaired individuals. It includes wearable smart glasses for object detection and text recognition, as well as an intelligent walking stick with functionalities such as heart rate detection and fall detection. Experimental results show that the system performs reliably with accuracies similar to commercial devices, while maintaining a low total cost.
Review
Chemistry, Physical
Azhar Fakharuddin, Haizeng Li, Francesco Di Giacomo, Tianyi Zhang, Nicola Gasparini, Abdulhakem Y. Elezzabi, Ankita Mohanty, Ananthakumar Ramadoss, JinKiong Ling, Anastasia Soultati, Marinos Tountas, Lukas Schmidt-Mende, Panagiotis Argitis, Rajan Jose, Mohammad Khaja Nazeeruddin, Abd Rashid Bin Mohd Yusoff, Maria Vasilopoulou
Summary: The development of textile electronics embedded in clothing is dependent on the transformation of fibers into electronic devices. This process involves considerations such as material selection, device structure, wearability, mechanical stresses, as well as the performance requirements of fiber-shaped electronics and their assembly in smart clothing.
ADVANCED ENERGY MATERIALS
(2021)
Article
Computer Science, Information Systems
Feng Yu, Ziyi Chen, Minghua Jiang, Zhangyuan Tian, Tao Peng, Xinrong Hu
Summary: Smart clothing is widely used for social safety, health monitoring, and sports monitoring. This article proposes a multifunctional smart clothing system consisting of a hardware module and a software module. It integrates multiple sensors to monitor various physiological parameters and activity states, and utilizes digital twin technology for interaction and feedback with users.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Chemistry, Analytical
Magdalena Jachymek, Michal T. Jachymek, Radoslaw M. Kiedrowicz, Jaroslaw Kazmierczak, Edyta Plonska-Gosciniak, Malgorzata Peregud-Pogorzelska
Summary: This study evaluated the accuracy and precision of heart rate measurement by Fitbit Charge 4 and Xiaomi Mi Band 5 smartwatches as rehabilitation tools. The study found that the accuracy and precision of both devices decreased with increased exercise intensity.
Article
Computer Science, Information Systems
Joy Brahma, Debanjan Sadhya
Summary: This study focuses on privacy concerns in IoT devices, particularly user activity inference attacks. By combining dummy packet generation with dynamic link padding, this study introduces a new defense mechanism that can reduce false positives for device state identification and decrease traffic overhead.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Chemistry, Analytical
Jin-Woo Jeong, Woochan Lee, Young-Joon Kim
Summary: This paper presents a wireless physiological signal acquisition device and a smartphone-based software platform for real-time data processing and monitoring. The device is compact and can wirelessly transmit biopotentials to a smartphone or laptop for real-time monitoring, recording, and analysis. It has been demonstrated to accurately capture ECG and EMG signals, making it a useful tool for predicting and treating cardiac patients and facilitating motor recovery after a stroke.
Article
Engineering, Mechanical
Vaughan Murphy, Brandon P. R. Edmonds, Ana Luisa Trejos
Summary: Twisted coiled actuators (TCAs) are soft actuators made from polymer fibers, providing motion in a compact, lightweight, and flexible package for wearable mechatronic devices. Experimental results show that incorporating TCAs into fabric meshes can improve their performance, with linear scaling of stroke with the number of activated TCAs, achieving maximum applied force of 11.28 N, maximum stroke of 12.23%, and efficiency of 1.8%. Additionally, two control methods were developed and evaluated, showing low overshoot and steady-state error, indicating the viability of the designed actuators for wearable mechatronic devices.
Review
Chemistry, Multidisciplinary
Minji Kang, Tae-Wook Kim
Summary: Significant progress has been made in recent years in developing the geometry and composition of electronic fibers. Various structural designs of electronic fibers and their applications in energy harvesting/storage, sensing, and light-emitting devices demonstrate their high potential for future electronic applications.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Analytical
Kefan Zhu, Phuoc Thien Phan, Bibhu Sharma, James Davies, Mai Thanh Thai, Trung Thien Hoang, Chi Cong Nguyen, Adrienne Ji, Emanuele Nicotra, Hung Manh La, Tat Thang Vo-Doan, Hoang-Phuong Phan, Nigel H. Lovell, Thanh Nho Do
Summary: This paper presents a smart textile-actuated spine assistance robotic exosuit (SARE) that seamlessly conforms to the back and allows for free movement, while also monitoring and rectifying human posture. Experimental results with human subjects show that the SARE can effectively reduce muscle strain, electromyography signals, and metabolic energy cost associated with repetitive lifting tasks.
Review
Chemistry, Multidisciplinary
Minhong Tan, Yang Xu, Ziqi Gao, Tiejun Yuan, Qingjun Liu, Rusen Yang, Bin Zhang, Lihua Peng
Summary: Precision medicine plays a crucial role in conducting real-time examination and administering on-demand medication. Existing therapeutic systems often implement these processes separately, leading to treatment interruption and limited recovery in patients. Intelligent wearable medical devices (IWMDs) have gained increasing attention for their non-invasive and customizable nature, and have significantly contributed to the research on biosensing and drug-delivery integrated systems. This review examines the latest progress in IWMDs research, including their mechanisms of integrating biosensing and on-demand drug delivery, and discusses the current challenges and future development directions.
ADVANCED MATERIALS
(2022)
Article
Health Care Sciences & Services
Naeem Hayat, Anas A. Salameh, Abdullah Al Mamun, Syed Shah Alam, Noor Raihani Zainol
Summary: This study explores the relationship between health consciousness and the attributes of wearable fitness devices (WFDs), as well as the impact of health motivation on the intention to use WFDs and WFDs usage behavior. The results show that health consciousness is not significantly associated with the intention to use WFDs, while perceived compatibility, perceived product value, perceived usefulness, and perceived technology accuracy significantly influence the intention to use WFDs. Additionally, health motivation has a significant impact on WFDs usage behavior, but the intention to use WFDs has a negative but significant effect on usage behavior. The relationship between the intention to use WFDs and the usage of WFDs is significantly moderated by health motivation.
