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Toplam kayıt 11, listelenen: 1-10
Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis
(2016)
Recognition of activities through wearable sensors such as accelerometers is a recent challenge in pervasive and ubiquitous computing. The problem is often considered as a classification task where a set of descriptive ...
Parkinson's Disease Monitoring from Gait Analysis via Foot-Worn Sensors
(2018)
Background: In Parkinson's disease (PD), neuronal loss in the substantia nigra ultimate in dopaminergic denervation of the stiratum is followed by disarraying of the movements' preciseness, automatism, and agility. Hence, ...
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis
(2017)
Remote care and telemonitoring have become essential component of current geriatric medicine. Intelligent use of wireless sensors is a major issue in relevant computational studies to realize these concepts in practice. ...
A Deep Learning Based Approach to Detect Neurodegenerative Diseases
(2020)
Studies conducted by the World Health Organization (WHO) show that more than a billion people worldwide suffer from neurological disorders and the lack of effective diagnostic procedures affects treatment. Characterizing ...
A Machine Learning Based Approach to Detect Survival of Heart Failure Patients
(2020)
One of the diseases with high prevalence among the consequences of cardiovascular diseases is heart failure. Heart failure is a condition in which the muscles in the heart wall become faded and dilated, limiting the heart's ...
Prediction of Frailty Grade Using Machine Learning Models
(2022)
Nowadays, frailty is becoming a major issue for the aging population. Frailty grading is important for patient quality of life because it is a geriatric syndrome of decreased physiological reserve that leads to increased ...
CNN-Based Severity Prediction Of Neurodegenerative Diseases Using Gait Data
(2022)
Neurodegenerative diseases occur because of degeneration in brain cells but can manifest as impairment of motor functions. One of the side effects of this impairment is an abnormality in walking. With the development of ...
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors
(2021)
With the spread of wearable sensors, the solutions to the task of activity recognition by using the data obtained from the sensors have become widespread. Recognition of activities owing to wearable sensors such as ...
Neurodegenerative disease detection and severity prediction using deep learning approaches
(2021)
Neurodegenerative diseases (NDDs) such as amyotrophic lateral sclerosis (ALS), Huntington's disease (HD), and Parkinson's disease (PD) can manifest themselves anatomically by degeneration in the brain as well as motor ...