Search Results - "Adamowicz, Lukas"
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Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis
Published in IEEE journal of biomedical and health informatics (01-05-2021)“…Falls are a significant problem for persons with multiple sclerosis (PwMS). Yet fall prevention interventions are not often prescribed until after a fall has…”
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Can Gait Characteristics Be Represented by Physical Activity Measured with Wrist-Worn Accelerometers?
Published in Sensors (Basel, Switzerland) (18-10-2023)“…Wearable accelerometers allow for continuous monitoring of function and behaviors in the participant's naturalistic environment. Devices are typically worn in…”
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Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles
Published in Sensors (Basel, Switzerland) (24-11-2019)“…Wearable sensor-based algorithms for estimating joint angles have seen great improvements in recent years. While the knee joint has garnered most of the…”
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Assessment of Sit-to-Stand Transfers during Daily Life Using an Accelerometer on the Lower Back
Published in Sensors (Basel, Switzerland) (19-11-2020)“…The ability to perform sit-to-stand (STS) transfers has a significant impact on the functional mobility of an individual. Wearable technology has the potential…”
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In-Clinic and Natural Gait Observations master protocol (I-CAN-GO) to validate gait using a lumbar accelerometer
Published in Scientific reports (29-08-2024)“…Traditional measurements of gait are typically performed in clinical or laboratory settings where functional assessments are used to collect episodic data,…”
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SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing
Published in JMIR mHealth and uHealth (21-04-2022)“…Wearable inertial sensors are providing enhanced insight into patient mobility and health. Significant research efforts have focused on wearable algorithm…”
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GAIT SPEED VARIABILITY IN EVERYDAY LIFE: A POTENTIAL THERAPEUTIC TARGET AND DIGITAL ENDPOINT FOR KNEE OSTEOARTHRITIS
Published in Osteoarthritis and cartilage (01-04-2024)Get full text
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330 - GAIT SPEED VARIABILITY IN EVERYDAY LIFE: A POTENTIAL THERAPEUTIC TARGET AND DIGITAL ENDPOINT FOR KNEE OSTEOARTHRITIS
Published in Osteoarthritis and cartilage (01-04-2024)Get full text
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324 - Changes in clinic-based and real-world measures of gait after exercise in people with knee osteoarthritis
Published in Osteoarthritis and cartilage (01-04-2024)Get full text
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Changes in clinic-based and real-world measures of gait after exercise in people with knee osteoarthritis
Published in Osteoarthritis and cartilage (01-04-2024)Get full text
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In-lab Assessment of a Sternum-Worn Accelerometer to Measure Gait Speed in Healthy Individuals (P3-11.010)
Published in Neurology (25-04-2023)“…Abstract only…”
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Monitoring Activity and Gait in Children (MAGIC) using digital health technologies
Published in Pediatric research (01-08-2024)“…Background Digital health technologies (DHTs) can collect gait and physical activity in adults, but limited studies have validated these in children. This…”
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Reliability of Wearable Sensors for Assessing Gait and Chair Stand Function at Home in People With Knee Osteoarthritis
Published in Arthritis care & research (2010) (01-09-2023)“…Objective To assess the reliability of wearable sensors for at‐home assessment of walking and chair stand activities in people with knee osteoarthritis (OA)…”
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Functional Rotation Axis Based Approach for Estimating Hip Joint Angles Using Wearable Inertial Sensors: Comparison to Existing Methods
Published 01-01-2019“…Wearable sensors are at the heart of the digital health revolution. Integral to the use of these sensors for monitoring conditions impacting balance and…”
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SciKit digital health package for accelerometry-measured physical activity: comparisons to existing solutions and investigations of age effects in healthy adults
Published in Frontiers in digital health (27-11-2023)“…Accelerometry has become increasingly prevalent to monitor physical activity due to its low participant burden, quantitative metrics, and ease of deployment…”
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