A5042965505- Balance, Gait, and Falls Prevention
- Cerebral Palsy and Movement Disorders
- Parkinson's Disease Mechanisms and Treatments
- Multiple Sclerosis Research Studies
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Inertial Sensor and Navigation
- Hand Gesture Recognition Systems
- Diabetic Foot Ulcer Assessment and Management
- Occupational Therapy Practice and Research
- Robotics and Automated Systems
- Autoimmune and Inflammatory Disorders Research
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Stroke Rehabilitation and Recovery
- Occupational health in dentistry
- Psoriasis: Treatment and Pathogenesis
- Musculoskeletal pain and rehabilitation
- Injury Epidemiology and Prevention
- Context-Aware Activity Recognition Systems
- Obstructive Sleep Apnea Research
- Assistive Technology in Communication and Mobility
- Cardiovascular and exercise physiology
- Cardiovascular Syncope and Autonomic Disorders
- Shoulder Injury and Treatment
École Polytechnique Fédérale de Lausanne
2020-2022
Sharif University of Technology
2016-2017
Abstract Gait speed often referred as the sixth vital sign is most powerful biomarker of mobility. While a clinical setting allows estimation gait under controlled conditions that present functional capacity, in real-life provides actual performance patient. The goal this study was to investigate objectively what during daily activities, patients perform well or better than clinic. To end, we recruited 27 Parkinson’s disease (PD) and measured their by inertial measurement units through...
Abstract Fatigue is prevalent in immune-mediated inflammatory and neurodegenerative diseases, yet its assessment relies largely on patient-reported outcomes, which capture perception but not fluctuations over time. Wearable sensors, like inertial measurement units (IMUs), offer a way to monitor daily activities evaluate functional capacity. This study investigates the relationship between sit-to-stand stand-to-sit transitions self-reported physical mental fatigue participants with...
Due to various applications of human motion capture techniques, developing low-cost methods that would be applicable in nonlaboratory environments is under consideration. MEMS inertial sensors and Kinect are two devices can utilized home-based systems, e.g., rehabilitation. In this work, an unscented Kalman filter approach was developed based on the complementary properties fuse orientation data these for arm tracking during both stationary shoulder joint position body movement. A new...
Abstract Background Sit-to-stand and stand-to-sit transitions are frequent daily functional tasks indicative of muscle power balance performance. Monitoring these postural with inertial sensors provides an objective tool to assess mobility in both the laboratory home environment. While measurement depends on sensor location, clinical everyday use requires high compliance subject adherence. The this study was propose a sit-to-stand transition detection algorithm that works independently...
Gait speed as a powerful biomarker of mobility is mostly assessed in controlled environments, e.g. the clinic. With wearable inertial sensors, gait can be estimated an objective manner. However, most previous works have validated estimation algorithms clinical settings which different than home assessments patients demonstrate their actual performance. Moreover, to provide comfort for users, devising algorithm based on single sensor setup essential. To this end, goal study was develop and...
Accurate assessment of Parkinson’s disease (PD) ON and OFF states in the usual environment is essential for tailoring optimal treatments. Wearables facilitate measurements gait novel unsupervised environments; however, differences between in-laboratory measures have been reported PD. We aimed to investigate whether speed discriminates medication which supervised tests most accurately represent home performance. In-lab speeds from different tasks were compared 27 PD patients at using inertial...
<b><i>Background:</i></b> Falls are a major cause of injuries in older adults. To evaluate the risk falls adults, clinical assessments such as 5-time sit-to-stand (5xSTS) test can be performed. The development inertial measurement units (IMUs) has provided possibility more in-depth analysis movements’ biomechanical characteristics during this test. goal present study was to investigate whether an instrumented 5xSTS provides additional information predict multiple or...
In chronic disorders such as Parkinson’s disease (PD), fear of falling (FOF) is associated with falls and reduced quality life. With inertial measurement units (IMUs) dedicated algorithms, different aspects mobility can be obtained during supervised tests in the lab also daily activities. To our best knowledge, effect FOF on has not been investigated both these settings simultaneously. Our goal was to evaluate 26 patients PD clinical assessments 14 days activity monitoring. Parameters...
Orthostatic hypotension (OH) in Parkinson's disease (PD) is frequent and associated with impairments quality of life reduced activities daily living. Abdominal binders (AB) compression stockings (CS) have been shown to be effective non-pharmacological treatment options.Here, we investigate the effect AB versus CS on physical activity using a digital mobility outcome (sit stand [STS] frequency) collected usual environment as primary endpoint.We enrolled 16 PD patients at least moderate...
<title>Abstract</title> Fatigue is a complex, multi-faceted phenomenon that particularly common in immune-mediated inflammatory disease and neurodegenerative cohorts. Clinical assessment of fatigue relies heavily on patient-reported outcomes (PROs), provide only the perception aspect poorly capture fluctuations over time. The use wearable sensors, e.g., inertial measurement units, overcome these drawbacks, by allowing for capacity performance aspects health through continuous monitoring...