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Artificial Intelligence (AI) for gait assessment can potentially improve the accuracy, objectivity, and efficiency of gait analysis. AI algorithms can process large amounts of data from wearable sensors and video recordings to identify patterns and abnormalities in gait. This can provide insights into various conditions that affect gait, such as Parkinson's disease, stroke, and cerebral palsy. AI-based gait analysis can also facilitate remote monitoring of gait, reducing the need for frequent visits to clinics or hospitals. Furthermore, the use of AI can enable personalized rehabilitation programs tailored to the specific needs of each individual based on their gait analysis results.
I am actively working on the development of algorithms for quantifying gait abnormalities.
Related current projects:
Quantification of dystonia-related features using video analysis
Kb-A-GAS
OpenHKV: Open human kinematics vision; A software suit for clinical video data collection, processing and sharing
Identification of dystonia-related features using instrumented gait analysis
SecurePose (installation): Automated Face Blurring and Human Movement Kinematics Extraction from Smartphone Videos Recorded in Clinical Settings (patent filed).
Related past projects:
Wearables/systems for Human Biomechanics Measurement
The importance of low-cost wearables for human biomechanics measurement lies in their ability to provide affordable, non-intrusive, and continuous monitoring of human movement patterns in real-world settings. This has expanded the scope of biomechanics research and made it more accessible to a broader audience. The insights gained from studying human movement using wearables can inform the development of exercise programs, rehabilitation strategies, and injury prevention measures. Moreover, wearables can provide personalized feedback to individuals, enabling them to monitor their movement patterns and make informed decisions about their health and well-being. Overall, low-cost wearables for human biomechanics measurement have the potential to revolutionize how we approach human movement and health.
I am currently developing low-cost devices and systems that can accurately measure human movement.
Related current projects:
An exoskeleton for measuring muscle abnormalities in CP
3-D reconstruction of gait kinematics in clinical settings
Postural Assessment of Children with Spastic Cerebral Palsy
Related past projects:
Instrumented Sock
Rehabilitation: Cerebral Palsy
Rehabilitation is an essential component of managing cerebral palsy, a group of neurological disorders that affect movement and posture. The primary goal of rehabilitation in cerebral palsy is to maximize the individual's functional abilities and independence, enabling them to participate in daily activities and achieve their full potential. Rehabilitation interventions may include physical therapy, occupational therapy, speech therapy, and assistive technology. These interventions aim to improve muscle strength and flexibility, motor coordination, communication, and cognitive skills. Rehabilitation programs should be tailored to the individual's specific needs, taking into account their age, severity of the condition, and overall health status. Early intervention and ongoing rehabilitation can have a significant impact on the long-term outcomes of individuals with cerebral palsy, improving their quality of life and reducing the risk of complications associated with the condition.
Currently, I am deepening my understanding of the underlying mechanisms of motor disorders in cerebral palsy (CP). My ultimate goal is to develop innovative assistive technologies that can significantly enhance the rehabilitation process for individuals with CP. In order to achieve this goal, I am actively seeking potential collaborators who share my research interests and passion for improving the lives of individuals with CP.
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