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Room 6: Remote monitoring of upper limb movement to evaluate bilateral motion

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Room 6: Remote monitoring of upper limb movement to evaluate bilateral motion

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Our past findings revealed post-stroke survivors are inactive, and 78% of their time staying at home watching TV or resting. We proposed to use Behavioral Activation Theory to develop an ACTION intervention by harnessing movement sensors to monitor post-stroke survivors' physical activity, and send pushes to remind them meeting their activity goals!

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Using accelerometers on wrist and waist to evaluate patient's Home Exercise program adherence, quality and any adverse event data

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Using accelerometers on wrist and waist to evaluate patient's Home Exercise program adherence, quality and any adverse event data

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Using EMG to build a database of "healthy" movement data that allows to compare against a disease state e.g. Low back pain.
EMG could allow for earlier detection or risk of developing pain if the movement/recruitment pattern is outside of the "norm"

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Room 2: tracking compliance of wearing splints/orthoses/protheses

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Room 2: tracking compliance of wearing splints/orthoses/protheses

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Utilization of GPS to location patient's from city wide standpoint in relationship to city bus sites and/or to provide subsidized transportation via lyft or uber to the patient's home.

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Room 1: Spatiotemporal params in older runners

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Room 1: Spatiotemporal params in older runners

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Interested to see the association between stride length/cadence on joint moment redistribution in young and older runners. Measure stride length and cadence outside (real-world) in young and older runners to see whether their patterns are consistent to what is measured in the gait lab.

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Use of wearable (IMU and EMG) sensors to provide feedback to upper extremity assistive devices for infants.

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Home & community monitoring of activity - with a focus on children with autism. Examples - total activity level (sedentary, low, moderate, high), monitoring toe walking, supporting behavioral therapy, sensory seeking, focus during tasks.

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Room 1: Older adult remote physical assessment for targeted exercise class prescription

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Room 1: Older adult remote physical assessment for targeted exercise class prescription

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Over 65, preparing for online exercise class. Want to capture data that would allow them to choose a class that would 1) be safe for them and 2) target their needs. For example: fall risk is a concern when exercising. Could we send the participant sensors they could easily don, and then capture data related to fall risk: double- and single-limb stance sway; gait speed; TUG; forward reach; timed sit to stand; etc. Based on this data the participant can be presented with relevant classes, e.g. chair exercises vs. standing exercises, or strengthening vs. stretching; or dance vs yoga.

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Stroke/inpatient rehab: observational assessment of physical activity every 15 minutes vs. using activity monitors

Infants to diagnose lack of movement, clinical observation vs. objective sensor accelerometry

Motion sensors to aide mobility in people with visual impairments

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Use case room 8: The use case for my undergrad thesis is the use of plethysmography using respiratory inductance plethysmography. The sensors I have researched is a graphene inductance sensor and the targetted population is patients in recovery from respiratory pathologies in the general population. The advantage of this development is the broad applicability of this technology to different patients and even for performance athletes in tracking their pulmonary capacity. Also a big incentive is the cost as this is cheaper and more accesible than the laboratory setting.

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Use case room 8: The use case for my undergrad thesis is the use of plethysmography using respiratory inductance plethysmography. The sensors I have researched is a graphene inductance sensor and the targetted population is patients in recovery from respiratory pathologies in the general population. The advantage of this development is the broad applicability of this technology to different patients and even for performance athletes in tracking their pulmonary capacity. Also a big incentive is the cost as this is cheaper and more accesible than the laboratory setting.

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Long-term tracking of activity in rehabilitation / elderly population using IMUs and Human Activity Recognition -> Phone and smart-watch together for tracking lower and upper body movements