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Search: authors:"Edward D. Lemaire"

7 papers found.
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Lower limb sagittal kinematic and kinetic modeling of very slow walking for gait trajectory scaling

with data collection. Emily Sinitski is thanked for her help with data processing. Author Contributions Conceptualization: Edward D. Lemaire, Julie Nantel. Data curation: Andrew J. J. Smith, Edward D ... . Lemaire. Formal analysis: Andrew J. J. Smith, Edward D. Lemaire. Funding acquisition: Andrew J. J. Smith, Edward D. Lemaire. Investigation: Andrew J. J. Smith, Edward D. Lemaire, Julie Nantel

Elderly fall risk prediction using static posturography

Maintaining and controlling postural balance is important for activities of daily living, with poor postural balance being predictive of future falls. This study investigated eyes open and eyes closed standing posturography with elderly adults to identify differences and determine appropriate outcome measure cut-off scores for prospective faller, single-faller, multi-faller, and...

Wearable-Sensor-Based Classification Models of Faller Status in Older Adults

Wearable sensors have potential for quantitative, gait-based, point-of-care fall risk assessment that can be easily and quickly implemented in clinical-care and older-adult living environments. This investigation generated models for wearable-sensor based fall-risk classification in older adults and identified the optimal sensor type, location, combination, and modelling method...

Feature Selection for Wearable Smartphone-Based Human Activity Recognition with Able bodied, Elderly, and Stroke Patients

Human activity recognition (HAR), using wearable sensors, is a growing area with the potential to provide valuable information on patient mobility to rehabilitation specialists. Smartphones with accelerometer and gyroscope sensors are a convenient, minimally invasive, and low cost approach for mobility monitoring. HAR systems typically pre-process raw signals, segment the signals...

Novel algorithm for a smartphone-based 6-minute walk test application: algorithm, application development, and evaluation

Background The 6-minute walk test (6MWT: the maximum distance walked in 6 minutes) is used by rehabilitation professionals as a measure of exercise capacity. Today’s smartphones contain hardware that can be used for wearable sensor applications and mobile data analysis. A smartphone application can run the 6MWT and provide typically unavailable biomechanical information about how...

Review of fall risk assessment in geriatric populations using inertial sensors

Background Falls are a prevalent issue in the geriatric population and can result in damaging physical and psychological consequences. Fall risk assessment can provide information to enable appropriate interventions for those at risk of falling. Wearable inertial-sensor-based systems can provide quantitative measures indicative of fall risk in the geriatric population. Methods...

A novel approach to surface electromyography: an exploratory study of electrode-pair selection based on signal characteristics

A 3 × 4 electrode array was placed over each of seven muscles and surface electromyography (sEMG) data were collected during isometric contractions. For each array, nine bipolar electrode pairs were formed off-line and sEMG parameters were calculated and evaluated based on repeatability across trials and comparison to an anatomically placed electrode pair. The use of time-domain...