A5079537650- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Muscle activation and electromyography studies
- Balance, Gait, and Falls Prevention
- Occupational Health and Safety Research
- Occupational Health and Safety in Workplaces
- Advanced Sensor and Energy Harvesting Materials
- Ergonomics and Musculoskeletal Disorders
- Gait Recognition and Analysis
- Quality and Safety in Healthcare
- Voice and Speech Disorders
- Ergonomics and Human Factors
- Human-Automation Interaction and Safety
- Parkinson's Disease and Spinal Disorders
- Hearing Loss and Rehabilitation
- Cerebral Palsy and Movement Disorders
- Noise Effects and Management
- Healthcare Technology and Patient Monitoring
- Hand Gesture Recognition Systems
- Effects of Vibration on Health
- Diabetic Foot Ulcer Assessment and Management
- Vehicle Noise and Vibration Control
- Asphalt Pavement Performance Evaluation
- Obesity, Physical Activity, Diet
- Mental Health Research Topics
University of Limerick
2023-2025
University of Minho
2020-2023
Universidad Politécnica de Madrid
2017-2023
Freezing of gait (FOG) is one the most incapacitating motor symptoms in Parkinson's disease (PD). The occurrence FOG reduces patients' quality live and leads to falls. assessment has usually been made through questionnaires, however, this method can be subjective could not provide an accurate representation severity symptom. use sensor-based systems objective information track symptoms' evolution optimize PD management treatments. Several authors have proposed specific methods based on...
Resting tremor in Parkinson’s disease (PD) is one of the most distinctive motor symptoms. Appropriate symptom monitoring can help to improve management and medical treatments patients’ quality life. Currently, evaluated by physical examinations during clinical appointments; however, this method could be subjective does not represent full spectrum daily lives. In recent years, sensor-based systems have been used obtain objective information about disease. However, these require use multiple...
Ecological Momentary Assessment (EMA) enables the real-time capture of health-related behaviours, their situational contexts, and associated subjective experiences. This study aimed to evaluate feasibility an EMA targeting physical eating optimise its protocol, provide recommendations for future large-scale data collections. The involved 52 participants (age 31±9 years, 56% females) from Czechia, France, Germany, Ireland completing a 9-day free-living protocol using HealthReact platform...
Freezing of gait is a complex and disabling symptom Parkinson's disease, which has significant impact on the patients' quality life increases risk falls related injuries. This study aims to evaluate generalization capability deep learning algorithms in freezing detection. To address this task, various machine were implemented, fine-tuned, evaluated using diverse data splitting validation strategies. The experiments performed yielded mixed results. Although implementations demonstrated...
Freezing of gait (FoG) is a disabling clinical phenomenon Parkinson’s disease (PD) characterized by the inability to move feet forward despite intention walk. It one most troublesome symptoms PD, leading an increased risk falls and reduced quality life. The combination wearable inertial sensors machine learning (ML) algorithms represents feasible solution monitor FoG in real-world scenarios. However, traditional detection process all data indiscriminately without considering context activity...
<sec> <title>BACKGROUND</title> Monitoring motor symptoms in patients with Parkinson’s disease (PD) presents significant challenges due to the complex nature of symptom progression, variations medication responses, and fluctuations that can occur throughout day. Traditional neurological visits provide only a limited perspective patient’s overall condition, achieving accurate objective assessments symptoms. To bridge this gap, extended monitoring non-clinical settings could play critical role...
Background Freezing of gait (FoG) is a complex, frequent, and disabling motor symptom Parkinson’s disease (PD). Wearable technology has the potential to improve FoG assessment by providing objective, quantitative, continuous monitoring. Objective This study aims develop robust detection algorithm that can be embedded in simple unobtrusive wearable sensor system lead reliable unsupervised home assessment. Methods Twenty-two subjects with PD were enrolled, equipped four inertial modules on...
Human–robot collaboration (HRC) is increasingly prevalent across various industries, promising to boost productivity, efficiency, and safety. As robotics technology advances takes on more complex tasks traditionally performed by humans, the nature of work demands workers are evolving. This shift emphasizes need critically integrate human factors into these interactions, as effectiveness safety systems highly dependent how cooperate with understand robots. A significant challenge in this...
This paper describes a study that analyzes the effect of periodic binaural auditory stimulation in beta band on two major motor symptoms patients with Parkinson's disease (PD), resting tremor and bradykinesia. Participants included groups PD ([Formula: see text], age [Formula: stage text] Hoehn & Yahr scale) were exposed to an experimental (group A) or placebo B) once day, group healthy controls text]) was not any stimulation. The consisted 10[Formula: text]min beats at 14[Formula: text]Hz...
Bradykinesia is the defining motor symptom of Parkinson’s disease (PD) and reflected as a progressive reduction in speed range motion. The evaluation bradykinesia severity important for assessing progression, daily fluctuations, therapy response. However, clinical PD signs affected by subjectivity, leading to intra- inter-rater variability. Moreover, assessment performed few times year during pre-scheduled follow-up visits. To overcome these limitations, objective unobtrusive methods based...
Wearable technology has had a significant growth in the last years; this is particularly true of smartwatches, due to their potential advantages and ease use. These smart devices integrate sensors that can be potentially used within industrial settings for several applications, such as safety, monitoring, identification occupational risks. The accelerometer one main integrated into these devices. However, studies have identified may present inaccuracies during data acquisition, which...
Introduction Parkinson’s disease (PD) is a neurodegenerative disorder commonly characterized by motor impairments. The development of mobile health (m-health) technologies, such as wearable and smart devices, presents an opportunity for the implementation clinical tools that can support tasks early diagnosis objective quantification symptoms. Objective This study evaluates framework to monitor symptoms PD patients based on performance standardized exercises those performed during clinic...
J.E.M. França Departamento de Engenharia Civil, UFF, Niterói, BrazilG.F. Reis & A.N. Haddad Escola Politécnica, UFRJ, Rio Janeiro, BrazilE.B.F. Galante IME-Instituto Militar Engenharia, BrazilD.M.B. Costa FEUP-Faculty of Engineering the University Porto, PortugalI.J.A. Luquetti dos Santos Instituto Energia Nuclear, IEN-CNEN, BrazilABSTRACT: This paper presents a case study that applies Hazard and Operability Study (HazOp) into part an industrial wastewater treatment plant under construction....
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The modern work landscape, influenced by globalization and technological advancements, has transitioned from physically demanding roles to mentally challenging ones primarily conducted in office settings. increased cognitive demands associated with these have been linked issues such as reduced energy, stress, mental fatigue, raising concerns about workers' health well-being. need investigate manage workload led the development of objective monitoring systems, typically assessed using methods...