Sensing and Data Analysis Techniques for Intelligent Healthcare
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 77475
Special Issue Editors
Interests: nano communication; biomedical applications of millimeter and terahertz communication; wearable and flexible sensors; compact antenna design; RF design and radio propagation; antenna interaction with human body; implants; body centric wireless communication issues; wireless body sensor networks; non-invasive health care solutions; physical layer security for wearable/implant communication and multiple-input–multiple-output systems
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning for wireless sensing in healthcare application; radar technology; software defined radios; antennas and propagation; intelligent healthcare; disease monitoring; agriculture technologies; antenna interaction with human body; implants; body centric wireless communication issues; wireless body sensor networks; non-invasive health care solutions
Interests: cryptography; blockchain; chaos theory; image encryption; IoT; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: 5G and Beyond networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advancements in wearable and non-wearable sensing systems are experiencing a rapid transformation that is influencing our daily lives. Wearable devices, such as smart watches, fitness trackers, and head-mounted virtual reality (VR)/augmented reality (AR) devices, and non-wearable technologies, including radar, Wi-Fi, and RFID, are attracting increasing attention due to their numerous advantages. Remote healthcare and telemedicine applications are some applications of these wearable and non-wearable sensors. Wireless sensors can dramatically enhance the quality of elderly people’s lives by delivering better services. It is anticipated that people will make full use of next-generation healthcare systems that leverage wearable and non-wearable sensors for monitoring, diagnosis, and surgical procedures.
Furthermore, data analytics (DA) is transforming the digital healthcare sector in various respects. One of the biggest challenges is the development of machine-learning-based intelligent healthcare technologies that can enhance daily living, enable the monitoring of large-scale and small-scale body movements such as falls, monitor a person’s respiratory rate and heartbeat, and allow for automatic alerts when critical events are predicted to occur. Physiological markers and biomarkers play an important role in overcoming these challenges. Behavioural biometrics, including voice, hand–eye coordination, and gait, when considered as biomarkers, can be used as metrics to detect a person’s ADLs. The acquired data can be divided into two main categories: cognitive and physical.
This Special Issues invites the submission of original scientific and research articles on state-of-the-art remote patient monitoring in the intelligent healthcare sector. An additional focus of this Special Issue is articles/reviews in the area of cybersecurity in digital healthcare. The core idea is to provide academics, researchers, and industry professionals with the opportunity to showcase their current research and set future research directions.
Dr. Qammer Hussain Abbasi
Dr. Syed Aziz Shah
Dr. Jawad Ahmad
Dr. Muhammad Ali Imran
Guest Editors
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