Personalized motor rehabilitation is the use of individualized intervention that is tailored to each person’s deficits and recovery progression. Technology-supported personalized motor rehabilitation takes this approach further by using technology to quantitatively assess deficits and inform treatment decisions, resulting in even more precisely customized and effective rehabilitation. It also allows for making adjustments to the treatment plan, tracking progress, and providing feedback to users which can help with motivation. In recent years, there has been an increasing focus on using technology to support personalized motor rehabilitation. This can include the use of sensors to track mobility and manipulation, machine learning algorithms to analyze data and provide personalized treatment recommendations and treatment progression, and robotic or/and virtual reality to create personalized intervention. There are also some challenges and limitations that need to be addressed. This includes establishing guidelines and regulations, providing education and training, and ensuring accessibility for all patients.
The goal of this research topic is to bring together experts from different disciplines to find potential solutions to address these challenges. We want to foster communication and collaboration between researchers, healthcare providers, technology developers, and regulatory bodies to conduct research and pilot studies, which will facilitate the exchange of ideas, knowledge and expertise, leading to more innovative solutions.
To gain a better understanding of the potential benefits and limitations of technology-supported personalized motor rehabilitation and develop evidence-based interventions to improve outcomes for patient, the following areas of research could be explored:
1. Development and validation of new technology-based interventions including robotics, virtual reality, tele-rehabilitation, peripheral and cortical stimulation for personalized motor rehabilitation.
2. Development and validation of objective technology-based assessment to aid personalized rehabilitation.
3. Examination of the effectiveness and efficiency of the technology-supported personalized motor rehabilitation compared with standard of care.
4. Investigation of the role of machine learning and artificial intelligence in personalized motor rehabilitation.
5. Exploration of clinicians, patient and caregiver perspectives on technology-supported personalized motor rehabilitation, these can include: compliance, motivation, monitoring the usage, challenges, interests, engagement, cost-effectiveness ratio, portability.
6. Challenges of translation of personalized technology to patient care including affordability, portability, ease of use, user interface, regulatory approval, safety.
Personalized motor rehabilitation is the use of individualized intervention that is tailored to each person’s deficits and recovery progression. Technology-supported personalized motor rehabilitation takes this approach further by using technology to quantitatively assess deficits and inform treatment decisions, resulting in even more precisely customized and effective rehabilitation. It also allows for making adjustments to the treatment plan, tracking progress, and providing feedback to users which can help with motivation. In recent years, there has been an increasing focus on using technology to support personalized motor rehabilitation. This can include the use of sensors to track mobility and manipulation, machine learning algorithms to analyze data and provide personalized treatment recommendations and treatment progression, and robotic or/and virtual reality to create personalized intervention. There are also some challenges and limitations that need to be addressed. This includes establishing guidelines and regulations, providing education and training, and ensuring accessibility for all patients.
The goal of this research topic is to bring together experts from different disciplines to find potential solutions to address these challenges. We want to foster communication and collaboration between researchers, healthcare providers, technology developers, and regulatory bodies to conduct research and pilot studies, which will facilitate the exchange of ideas, knowledge and expertise, leading to more innovative solutions.
To gain a better understanding of the potential benefits and limitations of technology-supported personalized motor rehabilitation and develop evidence-based interventions to improve outcomes for patient, the following areas of research could be explored:
1. Development and validation of new technology-based interventions including robotics, virtual reality, tele-rehabilitation, peripheral and cortical stimulation for personalized motor rehabilitation.
2. Development and validation of objective technology-based assessment to aid personalized rehabilitation.
3. Examination of the effectiveness and efficiency of the technology-supported personalized motor rehabilitation compared with standard of care.
4. Investigation of the role of machine learning and artificial intelligence in personalized motor rehabilitation.
5. Exploration of clinicians, patient and caregiver perspectives on technology-supported personalized motor rehabilitation, these can include: compliance, motivation, monitoring the usage, challenges, interests, engagement, cost-effectiveness ratio, portability.
6. Challenges of translation of personalized technology to patient care including affordability, portability, ease of use, user interface, regulatory approval, safety.