Challenges and advances in the use of wearable sensors for lower extremity biomechanics
The use of wearable sensors for the collection of lower extremity biomechanical data is
increasing in popularity, in part due to the ease of collecting data and the ability to capture …
increasing in popularity, in part due to the ease of collecting data and the ability to capture …
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
Introduction: Accurately assessing people's gait, especially in real-world conditions and in
case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in …
case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in …
Mapping relevance of digital measures to meaningful symptoms and impacts in early Parkinson's disease
JR Mammen, RM Speck, GM Stebbins… - Journal of …, 2023 - journals.sagepub.com
Background: Adoption of new digital measures for clinical trials and practice has been
hindered by lack of actionable qualitative data demonstrating relevance of these metrics to …
hindered by lack of actionable qualitative data demonstrating relevance of these metrics to …
Wearable Sensors to Monitor Physical Activity in Heart Failure Clinical Trials: State-of-the-Art Review
R Buendia, M Karpefors, F Folkvaljon, R Hunter… - Journal of Cardiac …, 2024 - Elsevier
Background Estimation of the effect that a drug or other intervention has on patient
symptoms and functions is crucial in heart failure trials. Traditional symptoms and functions …
symptoms and functions is crucial in heart failure trials. Traditional symptoms and functions …
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
This study aimed to validate a wearable device's walking speed estimation pipeline,
considering complexity, speed, and walking bout duration. The goal was to provide …
considering complexity, speed, and walking bout duration. The goal was to provide …
Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults
Progressive gait impairment is common among aging adults. Remote phenotyping of gait
during daily living has the potential to quantify gait alterations and evaluate the effects of …
during daily living has the potential to quantify gait alterations and evaluate the effects of …
Walking bout detection for people living in long residential care: a computationally efficient algorithm for a 3-axis accelerometer on the lower back
Accurate and reliable measurement of real-world walking activity is clinically relevant,
particularly for people with mobility difficulties. Insights on walking can help understand …
particularly for people with mobility difficulties. Insights on walking can help understand …
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases
Introduction The clinical assessment of mobility, and walking specifically, is still mainly
based on functional tests that lack ecological validity. Thanks to inertial measurement units …
based on functional tests that lack ecological validity. Thanks to inertial measurement units …
A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects
A Salomon, E Gazit, P Ginis, B Urazalinov… - Nature …, 2024 - nature.com
Freezing of gait (FOG) is a debilitating problem that markedly impairs the mobility and
independence of 38-65% of people with Parkinson's disease. During a FOG episode …
independence of 38-65% of people with Parkinson's disease. During a FOG episode …
A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders
A Zadka, N Rabin, E Gazit, A Mirelman… - npj Digital …, 2024 - nature.com
Step length is an important diagnostic and prognostic measure of health and disease.
Wearable devices can estimate step length continuously (eg, in clinic or real-world settings) …
Wearable devices can estimate step length continuously (eg, in clinic or real-world settings) …