[HTML][HTML] Wearable sensor systems for fall risk assessment: A review
Fall risk assessment and fall detection are crucial for the prevention of adverse and long-
term health outcomes. Wearable sensor systems have been used to assess fall risk and …
term health outcomes. Wearable sensor systems have been used to assess fall risk and …
Free‐living monitoring of Parkinson's disease: Lessons from the field
Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …
[HTML][HTML] Is every-day walking in older adults more analogous to dual-task walking or to usual walking? Elucidating the gaps between gait performance in the lab and …
I Hillel, E Gazit, A Nieuwboer, L Avanzino… - European review of …, 2019 - Springer
Background The traditional evaluation of gait in the laboratory during structured testing has
provided important insights, but is limited by its “snapshot” character and observation in an …
provided important insights, but is limited by its “snapshot” character and observation in an …
[HTML][HTML] Free-living gait characteristics in ageing and Parkinson's disease: impact of environment and ambulatory bout length
Background Gait is emerging as a powerful diagnostic and prognostic tool, and as a
surrogate marker of disease progression for Parkinson's disease (PD). Accelerometer-based …
surrogate marker of disease progression for Parkinson's disease (PD). Accelerometer-based …
[HTML][HTML] Deep learning to predict falls in older adults based on daily-life trunk accelerometry
Early detection of high fall risk is an essential component of fall prevention in older adults.
Wearable sensors can provide valuable insight into daily-life activities; biomechanical …
Wearable sensors can provide valuable insight into daily-life activities; biomechanical …
Fall detection and fall risk assessment in older person using wearable sensors: A systematic review
Background wearable sensors are often used to acquire data for gait analysis as a strategy
to study fall events, due to greater availability of acquisition platforms, and advances in …
to study fall events, due to greater availability of acquisition platforms, and advances in …
[HTML][HTML] Novel sensing technology in fall risk assessment in older adults: a systematic review
R Sun, JJ Sosnoff - BMC geriatrics, 2018 - Springer
Background Falls are a major health problem for older adults with significant physical and
psychological consequences. A first step of successful fall prevention is to identify those at …
psychological consequences. A first step of successful fall prevention is to identify those at …
Analysis of free-living gait in older adults with and without Parkinson's disease and with and without a history of falls: identifying generic and disease-specific …
Background Falls are associated with gait impairments in older adults (OA) and Parkinson's
disease (PD). Current approaches for evaluating falls risk are based on self-report or one …
disease (PD). Current approaches for evaluating falls risk are based on self-report or one …
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment
Gait abnormalities are typically derived from neurological conditions or orthopaedic
problems and can cause severe consequences such as limited mobility and falls. Gait …
problems and can cause severe consequences such as limited mobility and falls. Gait …
[HTML][HTML] Computer vision and machine learning-based gait pattern recognition for flat fall prediction
Background: Gait recognition has been applied in the prediction of the probability of elderly
flat ground fall, functional evaluation during rehabilitation, and the training of patients with …
flat ground fall, functional evaluation during rehabilitation, and the training of patients with …