Classification of Parkinson's disease and its stages using machine learning
As digital health technology becomes more pervasive, machine learning (ML) provides a
robust way to analyze and interpret the myriad of collected features. The purpose of this …
robust way to analyze and interpret the myriad of collected features. The purpose of this …
A study on mobile crowd sensing systems for healthcare scenarios
Due to the growing capabilities of mobile phones and devices, mobile crowd sensing (MCS)
is rapidly gaining popularity among researchers in different fields, given its ability to collect …
is rapidly gaining popularity among researchers in different fields, given its ability to collect …
Proposal of neural network model for neurocognitive rehabilitation and its comparison with fuzzy expert system model
This article focuses on the development of algorithms for a smart neurorehabilitation system,
whose core is made up of artificial neural networks. The authors of the article have proposed …
whose core is made up of artificial neural networks. The authors of the article have proposed …
Remote Digital Technologies for the Early Detection and Monitoring of Cognitive Decline in Patients With Type 2 Diabetes: Insights From Studies of …
Type 2 diabetes (T2D) is a risk factor for cognitive decline. In neurodegenerative disease
research, remote digital cognitive assessments and unobtrusive sensors are gaining traction …
research, remote digital cognitive assessments and unobtrusive sensors are gaining traction …
A novel explainability approach for technology-driven translational research on brain aging
Brain aging leads to difficulties in functional independence. Mitigating these difficulties can
benefit from technology that predicts, monitors, and modifies brain aging. Translational …
benefit from technology that predicts, monitors, and modifies brain aging. Translational …
Negative effects of COVID-19 stay-at-home mandates on physical intervention outcomes: a preliminary study
Background: Due to the COVID-19 pandemic, beneficial physical intervention classes for
individuals with Parkinson's disease (PD) were cancelled. Objective: To understand effects …
individuals with Parkinson's disease (PD) were cancelled. Objective: To understand effects …
Design of a mobile-based neurological assessment tool for aging populations
Mobile devices are becoming more pervasive in the monitoring of individuals' health as
device functionalities increase as does overall device prevalence in daily life. Therefore, it is …
device functionalities increase as does overall device prevalence in daily life. Therefore, it is …
Design of a neurocognitive digital health system (NDHS) for neurodegenerative diseases
Digital health technology is becoming more ubiquitous in monitoring individuals' health as
both device functionality and overall prevalence increase. However, as individuals age …
both device functionality and overall prevalence increase. However, as individuals age …
Towards symptom-specific intervention recommendation systems
Background: Mobile devices and their capabilities (eg, device sensors and human-device
interactions) are increasingly being considered for use in clinical assessments and disease …
interactions) are increasingly being considered for use in clinical assessments and disease …
REDONE-PD: Reflections of Dopamine-Related Gene Mutations on Neurocognitive Functions in Healthy Controls and Parkinson's Disease
Parkinson's Disease (PD) is a neurodegenerative disorder characterized by both motor and
non-motor symptoms, including significant changes in neurocognitive functions (NFs) …
non-motor symptoms, including significant changes in neurocognitive functions (NFs) …