The recent pandemic accelerated major changes in diagnostic tools, therapies, monitoring, nursing, etc. in such a way that the paths to healthy living will change dramatically. From now on, remoteness will be normal in diagnosis and follow-up. Continuous data collected through a new generation of tools incorporating somatic information along with cognitive and emotional information will be used. Then, this set of coherent, synchronized but highly heterogeneous data will allow the construction of a new sort of powerful tools providing high-level support to healthcare professionals.
The goal of this Research Topic is to achieve these objectives by carefully analyzing physiological signals taken from a wearable device or remotely extracted by other sensors providing the background for autonomic nervous system monitoring during free-living, revealing the limitations and pitfalls of classical methods. Additionally, these data are combined with data derived from facial recognition, voice, body movements and also with real-time information on the individual's reactions to environmental changes or due to different types of stimuli. The integration of all this information will make it possible to have and use a set of novel markers, with clear clinical, physiological and psychological interpretation. In doing so, clinicians will be able to customize their guidelines for each scenario, develop scientifically supported recommendations that apply to each patient at the appropriate time and also closely monitor their effects. To reach this point, multidisciplinary R&D must be carried out in sensor development, AI, robotics, as well as in psychiatry, psychology, physiology, general medicine and nursing.
The scope of this Research Topic is research in sensors, signal processing techniques, multimodal and AI-based tools for remote monitoring of patients which aid clinicians in diagnosis and follow-up for their personalized treatment.
This Research Topic covers, but is not limited to:
• Clinically relevant information derived from novel sensors or wearables during free-living.
• Novel sensors and tools for signals and data treatment to remotely extract physiological information.
• New sensors for blood and tissue analysis.
• Clinical and physiological significance of autonomic markers derived from wearable technology, including stress and well-being assessment.
• Technology-based quantitative assessments in mental health.
• Applications for wearable and remote technologies for monitoring central nervous system disorders (depression, epilepsy, multiple sclerosis, chronic fatigue, Alzheimer disease, fibromyalgia), prediction of evolution, seizures and relapses, quantification of therapies effectiveness to provide the best treatment, to the right patient, at the right time.
• Other applications for wearable and remote technology for cardiac risk stratification and respiratory disorders monitoring (obstructive sleep apnea, asthma, …).
• Specialized robots for assistance in daily-life by taking into account the different behavior and needs of patients and individuals.
The Guest Editors of this Research Topic encourage all interested researchers to submit an abstract before submitting their manuscript. However, abstract submission is not mandatory.
The recent pandemic accelerated major changes in diagnostic tools, therapies, monitoring, nursing, etc. in such a way that the paths to healthy living will change dramatically. From now on, remoteness will be normal in diagnosis and follow-up. Continuous data collected through a new generation of tools incorporating somatic information along with cognitive and emotional information will be used. Then, this set of coherent, synchronized but highly heterogeneous data will allow the construction of a new sort of powerful tools providing high-level support to healthcare professionals.
The goal of this Research Topic is to achieve these objectives by carefully analyzing physiological signals taken from a wearable device or remotely extracted by other sensors providing the background for autonomic nervous system monitoring during free-living, revealing the limitations and pitfalls of classical methods. Additionally, these data are combined with data derived from facial recognition, voice, body movements and also with real-time information on the individual's reactions to environmental changes or due to different types of stimuli. The integration of all this information will make it possible to have and use a set of novel markers, with clear clinical, physiological and psychological interpretation. In doing so, clinicians will be able to customize their guidelines for each scenario, develop scientifically supported recommendations that apply to each patient at the appropriate time and also closely monitor their effects. To reach this point, multidisciplinary R&D must be carried out in sensor development, AI, robotics, as well as in psychiatry, psychology, physiology, general medicine and nursing.
The scope of this Research Topic is research in sensors, signal processing techniques, multimodal and AI-based tools for remote monitoring of patients which aid clinicians in diagnosis and follow-up for their personalized treatment.
This Research Topic covers, but is not limited to:
• Clinically relevant information derived from novel sensors or wearables during free-living.
• Novel sensors and tools for signals and data treatment to remotely extract physiological information.
• New sensors for blood and tissue analysis.
• Clinical and physiological significance of autonomic markers derived from wearable technology, including stress and well-being assessment.
• Technology-based quantitative assessments in mental health.
• Applications for wearable and remote technologies for monitoring central nervous system disorders (depression, epilepsy, multiple sclerosis, chronic fatigue, Alzheimer disease, fibromyalgia), prediction of evolution, seizures and relapses, quantification of therapies effectiveness to provide the best treatment, to the right patient, at the right time.
• Other applications for wearable and remote technology for cardiac risk stratification and respiratory disorders monitoring (obstructive sleep apnea, asthma, …).
• Specialized robots for assistance in daily-life by taking into account the different behavior and needs of patients and individuals.
The Guest Editors of this Research Topic encourage all interested researchers to submit an abstract before submitting their manuscript. However, abstract submission is not mandatory.