Determining the effectiveness of medical treatment following injury to the sensorimotor system is often limited to measures of strength, range of motion and subjective evaluation of motor function. In upper extremity conditions, however, these measures may not reflect actual performance of the arm/hand in daily life. New methods are needed which can objectively capture both the quality and quantity of arm use following therapeutic interventions, thereby improving care and quality of life. This project will use remote sensor technology (inertial measurement units) to quantify activities of daily living in a home setting. Pattern recognition algorithms will be developed to identify specific arm movement activities such as eating, drinking, and dressing performance in typically developing children and adults. Pilot studies will be then conducted in clinical populations such as peripheral nerve injury and stroke.
Quantifying real-world upper-limb activity via patient-initiated movement after nerve reconstruction for upper brachial plexus injury
Published article in Neurosurgery.
Presented at the Michigan Cancer Consortium Annual Meeting Lansing, MI
Relationship between clinical assessments and accelerometry-based arm use in adult brachial plexus injury
Presented at the Michigan Occupational Therapy Association Annual Meeting
Presented to the International Society of Physical Medicine and Rehabilitation, Buenos Aires, Argentina
Body-worn sensory technology captures patient-initiated spontaneous arm movement after reconstructive surgery for brachial plexus injury
Presented at the American Society for Peripheral Nerve, Fajardo, Puerto Rico