The management of movement disorders is undergoing rapid transformation through the use of innovative health technologies, such as wearable sensors, mobile apps, robotics, and telemedicine systems. These technologies continue to evolve, providing new solutions for early diagnosis, remote monitoring, tailored treatments, and enhanced rehabilitative strategies that cater to individual needs through personalized approaches.
With the aid of new health technologies, motor abnormalities can be sensitively recognized and objectively assessed, providing quantifiable measures to detect subtle changes associated with treatment response and disease progression. Moreover, long-term instrumental monitoring offers the opportunity for improving therapeutic strategies by gathering ecological data directly at patients’ homes in free-living situations.
The field of personalized healthcare in movement disorders requires not only the involvement of clinicians and medical researchers but also the expertise of biomedical engineers, data scientists, and other specialized professionals. A multidisciplinary team is crucial for implementing the clinical practice of movement disorders through new computational tools and analytical methods to handle and interpret the large amount of data generated by these new technologies.
Over the past two decades, significant progress has been made in the use of healthcare technologies for movement disorders, resulting in a robust technical background. However, further advancements are necessary to effectively integrate and analyze different types of data, record and reconstruct complex motor behaviors, and obtain a comprehensive understanding of patients' health status. Additionally, the real-life and free-living application of healthcare technologies in movement disorders is currently limited, indicating a gap between experimental research and practical implementation.
To bridge this gap, it is imperative to develop innovative computational solutions for dynamic healthcare data analysis and pragmatic application of healthcare technologies in movement disorders. Overcoming these challenges is a prerequisite for integrating new healthcare technology into existing clinical workflows and achieving the "High-tech Neurology" paradigm. By taking these steps, we can move towards a future where healthcare technologies are seamlessly integrated into clinical practice, enhancing the quality of life for patients with movement disorders.
This Research Topic endeavors to provide a comprehensive overview of healthcare technologies and computational solutions for clinical decision support in movement disorders. The goal is to facilitate objective assessment, diagnosis, long-term monitoring, and personalized therapeutic and rehabilitative strategies for patients affected by movement disorders. The collection of articles will cover the clinical application of various technologies and computational tools, such as wearable sensors, digital therapeutics, telemedicine, robotics, and artificial intelligence, that are intended to enhance the management and monitoring of movement disorders and improve patients' quality of life.
We welcome submissions of multiple article types, including original research articles, systematic, narrative, and mini-reviews, methods and perspectives articles, clinical trials, and case reports, that are relevant to this Research Topic.
The management of movement disorders is undergoing rapid transformation through the use of innovative health technologies, such as wearable sensors, mobile apps, robotics, and telemedicine systems. These technologies continue to evolve, providing new solutions for early diagnosis, remote monitoring, tailored treatments, and enhanced rehabilitative strategies that cater to individual needs through personalized approaches.
With the aid of new health technologies, motor abnormalities can be sensitively recognized and objectively assessed, providing quantifiable measures to detect subtle changes associated with treatment response and disease progression. Moreover, long-term instrumental monitoring offers the opportunity for improving therapeutic strategies by gathering ecological data directly at patients’ homes in free-living situations.
The field of personalized healthcare in movement disorders requires not only the involvement of clinicians and medical researchers but also the expertise of biomedical engineers, data scientists, and other specialized professionals. A multidisciplinary team is crucial for implementing the clinical practice of movement disorders through new computational tools and analytical methods to handle and interpret the large amount of data generated by these new technologies.
Over the past two decades, significant progress has been made in the use of healthcare technologies for movement disorders, resulting in a robust technical background. However, further advancements are necessary to effectively integrate and analyze different types of data, record and reconstruct complex motor behaviors, and obtain a comprehensive understanding of patients' health status. Additionally, the real-life and free-living application of healthcare technologies in movement disorders is currently limited, indicating a gap between experimental research and practical implementation.
To bridge this gap, it is imperative to develop innovative computational solutions for dynamic healthcare data analysis and pragmatic application of healthcare technologies in movement disorders. Overcoming these challenges is a prerequisite for integrating new healthcare technology into existing clinical workflows and achieving the "High-tech Neurology" paradigm. By taking these steps, we can move towards a future where healthcare technologies are seamlessly integrated into clinical practice, enhancing the quality of life for patients with movement disorders.
This Research Topic endeavors to provide a comprehensive overview of healthcare technologies and computational solutions for clinical decision support in movement disorders. The goal is to facilitate objective assessment, diagnosis, long-term monitoring, and personalized therapeutic and rehabilitative strategies for patients affected by movement disorders. The collection of articles will cover the clinical application of various technologies and computational tools, such as wearable sensors, digital therapeutics, telemedicine, robotics, and artificial intelligence, that are intended to enhance the management and monitoring of movement disorders and improve patients' quality of life.
We welcome submissions of multiple article types, including original research articles, systematic, narrative, and mini-reviews, methods and perspectives articles, clinical trials, and case reports, that are relevant to this Research Topic.