During the last decade, the research community has paid close attention to IoT wearable sensors. They are becoming more popular due to their unobtrusiveness, light weight, low cost, and convenience of use for all-day and anywhere use. These technologies are being used in a variety of applications for human motion analysis, including Ambient Assisted Living, gait analysis, home-based rehabilitation, athletic activities, and so on. The development of wearable sensor systems that allow continuous and real-time monitoring necessitates data transmission that is robust, secure, and energy efficient.
The world's aging population is creating an increase in old-age diseases, particularly Alzheimer's disease and dementia, Parkinson's, frailty, and cardiovascular disease, but also a general demand for general eldercare as well as active and healthy ageing. As a result, there is a constant need for monitoring and help, intervention, and support, putting a significant financial and human burden on individuals and their careers. Interconnected sensing technology, such as Internet of Things (IoT) and wearables, offer a potential alternative for objective, dependable, and remote monitoring, assessment, and support via ambient supported living. In this regard, the IoT is a viable alternative for providing continuous, objective, and holistic monitoring, relieving the load of human caregiver labor, and assisting clinical decision making. IoT is a relatively new concept that allows for healthcare monitoring using wearable devices. The Internet of Things (IoT) is a network of physical items that have embedded technology for detecting, interacting with the environment, and providing autonomous communication. Wearable sensors are a prominent IoT application that has received a lot of attention in the previous decade, to the point of inexpensive fitness applications in the retail sector.
In this context, the goal of this Special Issue is to bring together researchers working on emerging IoT-based wearable technologies for healthcare to share ideas and conceptual approaches, as well as to discuss recent advances in this field, addressing innovative solutions, paradigms, and emerging problems. We welcome the submission of Original Research, Review, Mini Review, and Perspective articles on themes including, but not limited to:
- Wireless sensors and IoT
- Cognitive decline
- Dementia and Alzheimer
Keywords:
Wearable sensors; biosensors; IoT wearable sensors; Wireless sensors and IoT; electronic health; IoT in healthcare; Internet of Medical Things (IoMT); IoT and Machine Learning for Healthy Ageing; Artificial Intelligence (AI); Machine learning;
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
During the last decade, the research community has paid close attention to IoT wearable sensors. They are becoming more popular due to their unobtrusiveness, light weight, low cost, and convenience of use for all-day and anywhere use. These technologies are being used in a variety of applications for human motion analysis, including Ambient Assisted Living, gait analysis, home-based rehabilitation, athletic activities, and so on. The development of wearable sensor systems that allow continuous and real-time monitoring necessitates data transmission that is robust, secure, and energy efficient.
The world's aging population is creating an increase in old-age diseases, particularly Alzheimer's disease and dementia, Parkinson's, frailty, and cardiovascular disease, but also a general demand for general eldercare as well as active and healthy ageing. As a result, there is a constant need for monitoring and help, intervention, and support, putting a significant financial and human burden on individuals and their careers. Interconnected sensing technology, such as Internet of Things (IoT) and wearables, offer a potential alternative for objective, dependable, and remote monitoring, assessment, and support via ambient supported living. In this regard, the IoT is a viable alternative for providing continuous, objective, and holistic monitoring, relieving the load of human caregiver labor, and assisting clinical decision making. IoT is a relatively new concept that allows for healthcare monitoring using wearable devices. The Internet of Things (IoT) is a network of physical items that have embedded technology for detecting, interacting with the environment, and providing autonomous communication. Wearable sensors are a prominent IoT application that has received a lot of attention in the previous decade, to the point of inexpensive fitness applications in the retail sector.
In this context, the goal of this Special Issue is to bring together researchers working on emerging IoT-based wearable technologies for healthcare to share ideas and conceptual approaches, as well as to discuss recent advances in this field, addressing innovative solutions, paradigms, and emerging problems. We welcome the submission of Original Research, Review, Mini Review, and Perspective articles on themes including, but not limited to:
- Wireless sensors and IoT
- Cognitive decline
- Dementia and Alzheimer
Keywords:
Wearable sensors; biosensors; IoT wearable sensors; Wireless sensors and IoT; electronic health; IoT in healthcare; Internet of Medical Things (IoMT); IoT and Machine Learning for Healthy Ageing; Artificial Intelligence (AI); Machine learning;
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.