Machine learning for the diagnosis of Parkinson's disease: a review of literature
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …
assessment of clinical signs, including the characterization of a variety of motor symptoms …
Internet of things technologies and machine learning methods for Parkinson's disease diagnosis, monitoring and management: a systematic review
Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …
the population, especially the elderly. It manifests with motor, cognitive and other types of …
Deep learning approaches for human gait recognition: A review
Many biometric authentication techniques have been defined over the years; of these
techniques, Human Gait recognition has gathered popularity over the years due to its ability …
techniques, Human Gait recognition has gathered popularity over the years due to its ability …
Gait recognition based on deep learning: a survey
CFG Santos, DDS Oliveira, LA Passos… - ar** review
Background: Parkinson's Disease (PD) is a chronic neurodegenerative disorder that has
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
Bayesian optimization with support vector machine model for parkinson disease classification
Parkinson's disease (PD) has become widespread these days all over the world. PD affects
the nervous system of the human and also affects a lot of human body parts that are …
the nervous system of the human and also affects a lot of human body parts that are …
Systematic review on machine-learning algorithms used in wearable-based eHealth data analysis
In this digitized world, data has become an integral part in any domain, including healthcare.
The healthcare industry produces a huge amount of digital data, by utilizing information from …
The healthcare industry produces a huge amount of digital data, by utilizing information from …
Gait recognition based on deep learning: a survey
C Filipi Gonçalves dos Santos, DS Oliveira… - ACM Computing …, 2022 - dl.acm.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis
Recent years have witnessed an increasing global population affected by
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …
Gait recognition methods in the task of biometric human identification
СВ Пуріш, МВ Лобачев - Вісник сучасних інформаційних технологій, 2023 - hait.od.ua
This article focuses on defining the problem of solving the problem of human identification
by means of gait recognition in biometric identification systems. In order to determine the …
by means of gait recognition in biometric identification systems. In order to determine the …