- Balance, Gait, and Falls Prevention
- Diabetic Foot Ulcer Assessment and Management
- Cerebral Palsy and Movement Disorders
- Lower Extremity Biomechanics and Pathologies
- Total Knee Arthroplasty Outcomes
- Winter Sports Injuries and Performance
- Sports Performance and Training
- Shoulder Injury and Treatment
- Muscle activation and electromyography studies
- Musculoskeletal pain and rehabilitation
- Stroke Rehabilitation and Recovery
- Non-Invasive Vital Sign Monitoring
- Foot and Ankle Surgery
- Knee injuries and reconstruction techniques
- Gait Recognition and Analysis
- Context-Aware Activity Recognition Systems
- Parkinson's Disease Mechanisms and Treatments
- Cryospheric studies and observations
- Sports injuries and prevention
- Orthopaedic implants and arthroplasty
- Physical Activity and Health
- Neurological disorders and treatments
- Shoulder and Clavicle Injuries
- Orthopedic Surgery and Rehabilitation
- Cardiovascular and exercise physiology
École Polytechnique Fédérale de Lausanne
2015-2024
Universität Innsbruck
2020
École Normale Supérieure - PSL
2012-2014
Hirslanden Clinique Bois-Cerf
2014
University Hospital of Lausanne
2011-2013
University of Lausanne
2010-2013
Hôpital de Beaumont
2013
Laboratoire de Mesure du Carbone 14
2011-2012
Hôpital de Morges
2006-2012
University Hospital of Geneva
2010
A new method of physical activity monitoring is presented, which able to detect body postures (sifting, standing, and lying) periods walking in elderly persons using only one kinematic sensor attached the chest. The wavelet transform, conjunction with a simple kinematics model, was used different postural transitions (PTs) during daily activity. To evaluate system, three studies were performed. first tested on 11 community-dwelling subjects gait laboratory where an optical motion system...
An ambulatory gait analysis method using body-attached gyroscopes to estimate spatio-temporal parameters of has been proposed and validated against a reference system for normal pathologic gait. Later, ten Parkinson's disease (PD) patients with subthalamic nucleus deep brain stimulation (STN-DBS) implantation participated in measurements our device. They walked one three times on 20-m walkway. Patients did the test twice: once STN-DBS was ON 180 min after turning it OFF. A group age-matched...
Timed Up and Go (TUG) test is a widely used clinical paradigm to evaluate balance mobility. Although TUG includes several complex subcomponents, namely: sit-to-stand, gait, 180 degree turn, turn-to-sit; the only outcome total time perform task. We have proposed an instrumented TUG, called iTUG, using portable inertial sensors improve in ways: automatic detection separation of detailed analysis each one them higher sensitivity than TUG. Twelve subjects early stages Parkinson's disease (PD) 12...
Despite extensive preventive efforts, falls continue to be a major source of morbidity and mortality among elderly. Real-time detection their urgent communication telecare center may enable rapid medical assistance, thus increasing the sense security elderly reducing some negative consequences falls. Many different approaches have been explored automatically detect fall using inertial sensors. Although previously published algorithms report high sensitivity (SE) specificity (SP), they...
A new method of evaluating the characteristics postural transition (PT) and their correlation with falling risk in elderly people is described. The time sit-to-stand stand-to-sit transitions duration were measured using a miniature gyroscope attached to chest portable recorder placed on waist. Based simple model discrete wavelet transform, three parameters related PT measured, namely, average standard deviation occurrence abnormal successive (number attempts have successful transition)....
An ambulatory system for quantification of tremor and bradykinesia in patients with Parkinson's disease (PD) is presented. To record movements the upper extremities, a sensing units which included miniature gyroscopes, has been fixed to each forearms. algorithm detect quantify another have proposed validated. Two clinical studies performed. In first study, 10 PD control subjects participated 45-min protocol 17 typical daily activities. The detection showed an overall sensitivity 99.5%...
The Timed Up and Go (TUG) test has been used to assess balance mobility in Parkinson's Disease (PD). However, it is not known if this sensitive subtle abnormalities present early stages of the disease, when gait problems are clinically evident but may be detected with instrumented analysis movement. We hypothesise that postural transitions arm swing during will most characteristics TUG for PD. In study, we (iTUG) using portable inertial sensors, extended walking distance from 3 m...
Distinct gait characteristics like short steps and shuffling are prototypical signs commonly observed in Parkinson's disease. Routinely assessed by observation through clinicians, is rated as part of categorical clinical scores. There an increasing need to provide quantitative measurements gait, e.g. detailed information about disease progression. Recently, we developed a wearable sensor-based analysis system diagnostic tool that objectively assesses parameter without the having specialized...
Gait characteristics and balance are altered in diabetic patients. Little is known about possible treatment strategies. This study evaluates the effect of a specific training programme on gait was randomised controlled trial (n = 71) with an intervention 35) control group 36). The consisted physiotherapeutic including exercises function-orientated strengthening (twice weekly over 12 weeks). Controls received no treatment. Individuals were allocated to groups central office. Gait, balance,...
Assessment of locomotion through simple tests such as timed up and go (TUG) or walking trials can provide valuable information for the evaluation treatment early diagnosis people with Parkinson's disease (PD). Common methods used in clinics are either based on complex motion laboratory settings timing outcomes using stop watches. The goal this paper is to present an innovative technology wearable sensors on-shoe processing algorithm, which provides outcome measures characterizing PD motor...
Abstract Background Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper to comparatively assess validate DMOs estimated using gait six different cohorts, focusing on sequence detection, foot initial contact detection (ICD), cadence (CAD) stride length (SL) estimates. Methods Twenty healthy older adults, 20 people Parkinson’s disease,...
Abstract This study aimed to validate a wearable device’s walking speed estimation pipeline, considering complexity, speed, and bout duration. The goal was provide recommendations on the use of devices for real-world mobility analysis. Participants with Parkinson’s Disease, Multiple Sclerosis, Proximal Femoral Fracture, Chronic Obstructive Pulmonary Congestive Heart Failure, healthy older adults (n = 97) were monitored in laboratory (2.5 h), using lower back device. Two pipelines validated...
A new method of measuring joint angle using a combination accelerometers and gyroscopes is presented. The proposes minimal sensor configuration with one module mounted on each segment. model based estimating the acceleration center rotation by placing pair virtual sensors adjacent segments at rotation. In proposed technique, angles are found without need for integration, so absolute can be obtained which free from any source drift. considers anatomical aspects personalized subject prior to...
Abstract Motion capture is mainly based on standard systems using optic, magnetic or sonic technologies. In this paper, the possibility to detect useful human motion new techniques different types of body‐fixed sensors shown. particular, a combination accelerometers and angular rate (gyroscopes) showed promising design for hybrid kinematic sensor measuring 2D kinematics body segment. These together with portable datalogger, simple biomechanical models, allow outdoor long‐term movements...
A new ambulatory method of monitoring physical activities in Parkinson's disease (PD) patients is proposed based on a portable data-logger with three body-fixed inertial sensors. group ten PD treated subthalamic nucleus deep brain stimulation (STN-DBS) and normal control subjects followed protocol typical daily the whole period measurement was recorded by video. Walking periods were recognized using two sensors shanks lying detected sensor trunk. By calculating kinematics features trunk...