A5000161373- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- COVID-19 diagnosis using AI
- Advanced Sensor and Energy Harvesting Materials
- Non-Invasive Vital Sign Monitoring
- Gait Recognition and Analysis
- Muscle activation and electromyography studies
- Balance, Gait, and Falls Prevention
- COVID-19 epidemiological studies
- Human Pose and Action Recognition
- SARS-CoV-2 detection and testing
- Complex Systems and Time Series Analysis
- Smart Grid Energy Management
- Dental Research and COVID-19
- Biosensors and Analytical Detection
- IoT-based Smart Home Systems
- Additive Manufacturing and 3D Printing Technologies
- Hand Gesture Recognition Systems
- Internet of Things and AI
- Artificial Intelligence in Healthcare and Education
- Neuroscience and Neural Engineering
- Artificial Intelligence in Healthcare
- Imbalanced Data Classification Techniques
- Sleep and Work-Related Fatigue
- Chaos control and synchronization
Universitatea Națională de Știință și Tehnologie Politehnica București
2020-2024
University of Reggio Calabria
2020-2024
Mehran University of Engineering and Technology
2016-2019
Selçuk University
2019
Technology is continually undergoing a constituent development caused by the appearance of billions new interconnected "things" and their entrenchment in our daily lives. One underlying versatile technologies, namely wearables, able to capture rich contextual information produced such devices use it deliver legitimately personalized experience. The main aim this paper shed light on history wearable provide state-of-the-art review market. Moreover, provides an extensive diverse classification...
Parkinson’s disease patients face numerous motor symptoms that eventually make their life different from those of normal healthy controls. Out these symptoms, tremor and bradykinesia, are relatively prevalent in all stages this disease. The assessment is usually performed by traditional methods where the accuracy results still an open question. This research proposed a solution for objective bradykinesia subjects with PD (10 older adults aged greater than 60 years 10 bradykinesia) 20 years....
Human Action Recognition (HAR) is a branch of computer vision that deals with the identification human actions at various levels including low level, action and interaction level. Previously, number HAR algorithms have been proposed based on handcrafted methods for recognition. However, techniques are inefficient in case recognizing level as they involve complex scenarios. Meanwhile, traditional deep learning-based approaches take entire image an input later extract volumes features, which...
Human action recognition (HAR) is one of the most active research topics in field computer vision. Even though this area well-researched, HAR algorithms such as 3D Convolution Neural Networks (CNN), Two-stream Networks, and CNN-LSTM (Long Short-Term Memory) suffer from highly complex models. These involve a huge number weights adjustments during training phase, consequence, require high-end configuration machines for real-time applications. Therefore, paper presents an extraneous frame...
Parkinson’s disease (PD) is one of the most unremitting and dynamic neurodegenerative human diseases. Various wearable IoT devices have emerged for detecting, diagnosing, quantifying PD, predominantly utilizing inertial sensors computational algorithms. However, their proliferation poses novel challenges concerning security, privacy, connectivity, power optimization. Clinically, continuous monitoring patients’ motor function imperative optimizing Levodopa (L-dopa) dosage while mitigating...
COVID-19 typically known as Coronavirus disease is an infectious caused by a newly discovered coronavirus. Currently detection of coronovirus depends on factors like the patients' signs and symptoms, location where person lives, travelling history close contact with any patient. In order to test patient, healthcare provider uses long swab take nasal sample. The sample then tested in laboratory setting. If coughing up saliva (sputum), emitted for testing. diagnosis becomes even more critical...
Recent scientific and technological developments demonstrated that laser melting deposition (LMD) could yield near-net-shape parts by additive manufacturing. Under context, it was noticed the primary operating parameters (i.e., power, scanning speed, powder flow rate) significantly influence generated keyhole's dimensions, ultimately affecting deposited clad characteristics. In this study, a novel approach is proposed to generate pool of datasets implement artificial neural networking (ANN)...
Early detection of COVID-19 positive people are now extremely needed and considered to be one the most effective ways how limit spreading infection. Commonly used screening methods reverse transcription polymerase chain reaction (RT-PCR) or antigen tests, which need periodically repeated. This paper proposes a methodology for detecting disease in non-invasive way using wearable devices analysis bio-markers artificial intelligence. have reused publicly available dataset containing COVID-19,...
Sleep apnea is a serious sleep disorder in which individuals breathing repeatedly stops and starts. Even after the continuous of 6-8 hours, person feels fatigue tiredness. This turns even more if has history heart problem. The symptoms are snoring, fatigue, somnolence, while main types are: obstructive apnea, central complex apnea. Among these (OSA) most frequent can be treated by correct sleeping posture. Research proved that change in-bed posture plays vital role for OSA. In this research...
In resting tremor, the body part is in complete repose and often dampens or subsides entirely with action. The most frequent cause of tremors known as idiopathic Parkinson's disease (PD). For examination, neurologists patients PD include tests such finger-to-nose tests, walking back forth corridor, pull test. This evaluation focused on Unified rating scale (UPDRS), which subjective well based some daily life motor activities for a limited time frame. this study, severity analysis performed...
Objectives: This paper depicts an execution strategy of HEMS (Home Energy Management System) in light Wi-Fi and RF Communication. Methods/Statistical Analysis: presents architecture keeping view the Smart City infrastructure. Through proposed user can remotely control their home appliances using Android App. system also has features for scheduled controlling devices. The set device to turn ON OFF at specified times. Findings: is less-cost, robust operation while providing easy use interface...
Alterations in gait cycle i.e stride rate show fractal dynamics and lower limb walking variability between healthy controls the associated to any neurological disorder. The paper proposes a study which these changes functioning linked with individuals neurocognitive disorder accumulation of happen human body time called ageing. To validate this research work, we compared participants' series: 1) young participants older adults 2) subjects Parkinson's disease (PD) disease-free subjects. Using...
Gait evaluation is important for apprehension and management of different neurocognitive disorders (NCD). The gait events are changing with the age factor this variability being incorrectly linked people NCD. So, there a high need to analyze correctly. analysis mostly performed on temporal spectral feature extraction in which rate missing features. Apart from this, monitoring quantification Parkinson's disease patients raise many therapeutic challenges terms severity motor symptoms i.e....
The management of motor complications in Parkinson's disease (PD) is an unmet need. This paper proposes eHealth platform for severity estimation using a cloud-based and deep learning (DL) approach. system quantifies the hallmark symptoms PD signals patients with (PwPD). In this study, dataset named "The Michael J. Fox Foundation-funded Levodopa Response Study" used development evaluation computational methods focusing on function response to levodopa treatment. data derived from wearable...
For analysis of Parkinson illness gait disabilities de-tection is essential. The only motivation behind this examination to equitably and consequently differentiate among sound subjects the one who forbearing Parkinson, utilizing IOT based indicative framework. In absolute, 16 distinctive force sensors being attached with shoes which documented Multisignal Vertical Ground Reaction Force (VGRF). Overall signals 1024 window estimate around raw signals, Packet wavelet change (PWT) five diverse...