Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery
C Adans-Dester, N Hankov, A O'Brien… - NPJ digital …, 2020 - nature.com
The need to develop patient-specific interventions is apparent when one considers that
clinical studies often report satisfactory motor gains only in a portion of participants. This …
clinical studies often report satisfactory motor gains only in a portion of participants. This …
Decomposition of reaching movements enables detection and measurement of ataxia
Technologies that enable frequent, objective, and precise measurement of ataxia severity
would benefit clinical trials by lowering participation barriers and improving the ability to …
would benefit clinical trials by lowering participation barriers and improving the ability to …
Adaptive control method for dynamic synchronization of wearable robotic assistance to discrete movements: Validation for use case of lifting tasks
Dynamic control of robotic exoskeletons is paramount to ensuring safe, synergistic assistive
action of functional benefit to users. To date, exoskeleton controllers have excelled in …
action of functional benefit to users. To date, exoskeleton controllers have excelled in …
Estimating upper-limb impairment level in stroke survivors using wearable inertial sensors and a minimally-burdensome motor task
Upper-limb paresis is the most common motor impairment post stroke. Current solutions to
automate the assessment of upper-limb impairment impose a number of critical burdens on …
automate the assessment of upper-limb impairment impose a number of critical burdens on …
A unified scheme for the benchmarking of upper limb functions in neurological disorders
Background In neurorehabilitation, we are witnessing a growing awareness of the
importance of standardized quantitative assessment of limb functions. Detailed assessments …
importance of standardized quantitative assessment of limb functions. Detailed assessments …
Real-life wrist movement patterns capture motor impairment in individuals with ataxia-telangiectasia
Sensitive motor outcome measures are needed to efficiently evaluate novel therapies for
neurodegenerative diseases. Devices that can passively collect movement data in the home …
neurodegenerative diseases. Devices that can passively collect movement data in the home …
Predicting and monitoring upper-limb rehabilitation outcomes using clinical and wearable sensor data in brain injury survivors
SI Lee, CP Adans-Dester, AT O'Brien… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Objective: Rehabilitation specialists have shown considerable interest for the development
of models, based on clinical data, to predict the response to rehabilitation interventions in …
of models, based on clinical data, to predict the response to rehabilitation interventions in …
Detection and assessment of point-to-point movements during functional activities using deep learning and kinematic analyses of the stroke-affected wrist
Stoke is a leading cause of long-term disability, including upper-limb hemiparesis. Frequent,
unobtrusive assessment of naturalistic motor performance could enable clinicians to better …
unobtrusive assessment of naturalistic motor performance could enable clinicians to better …
Analysis of gait sub-movements to estimate ataxia severity using ankle inertial data
Objective: Assessment of motor severity in cerebellar ataxia is critical for monitoring disease
progression and evaluating the effectiveness of therapeutic interventions. Though wearable …
progression and evaluating the effectiveness of therapeutic interventions. Though wearable …
A kinematic data-driven approach to differentiate involuntary choreic movements in individuals with neurological conditions
Objective: The ability to differentiate similar choreic involuntary movements could lay the
groundwork for the development of a minimally-invasive screening tool for their etiology and …
groundwork for the development of a minimally-invasive screening tool for their etiology and …