The Growing Role of Complex Sensor Systems and Algorithmic Pattern Recognition for Vascular Dementia Onset

Abstract

Vascular Dementia is often Clinically diagnosed once the effects of the disease are prevalent in a person’s daily living routines. However previous research has shown various behavioral and physiological changes linked to the development of Vascular Dementia, with these changes beginning to present earlier than clinical diagnosis is currently possible. In this review, works focused on these early signs of Vascular Dementia are highlighted. However, recognizing these changes is difficult. Many computational systems have been proposed for the evaluation these early signs of Vascular Dementia. The chosen works have largely focused on utilizing sensors systems or algorithmic evaluation can be incorporated into a person’s environment to measure behavioral, and phycological metrics. This raw data can then be computationally analyzed to draw conclusions about the patterns of change surrounding the onset of Vascular Dementia. This compilation of works presents current a framework for investigating the various behavioral and physiological metrics as well as potential avenues for further investigating of sensor system and algorithmic design with the goal of enabling earlier Vascular Dementia detection.

Authors and Affiliations

Janna Madden, Arshia Khan

Keywords

Related Articles

Fuzzy Logic-Controlled 6-DOF Robotic Arm Color-based Sorter with Machine Vision Feedback

A demonstration of the application of fuzzy logic-based joint controller (FLJC) to a 6-DOF robotic arm as a color-based sorter system is presented in this study. The robotic arm with FLJC is integrated with a machine vis...

An Adaptive Neural Network State Estimator for Quadrotor Unmanned Air Vehicle

An adaptive neural observer design is presented for the nonlinear quadrotor unmanned aerial vehicle (UAV). This proposed observer design is motivated by the practical quadrotor where the whole dynamical model of system i...

Mobile Learning Application Development for Improvement of English Listening Comprehension

Trend towards English language learning has been increased because it is considered as Lingua franca i.e. language of communication for all. However students of Pakistan are behind in this pace, especially rural elementa...

A Low Complexity based Edge Color Matching Algorithm for Regular Bipartite Multigraph

An edge coloring of a graph G is a process of assigning colors to the adjacent edges so that the adjacent edges represents the different colors. In this paper, an algorithm is proposed to find the perfect color matching...

A Second Correlation Method for Multivariate Exchange Rates Forecasting

Foreign exchange market is one of the most complex dynamic market with high volatility, non linear and irregularity. As the globalization spread to the world, exchange rates forecasting become more important and complica...

Download PDF file
  • EP ID EP468325
  • DOI 10.14569/IJACSA.2019.0100227
  • Views 91
  • Downloads 0

How To Cite

Janna Madden, Arshia Khan (2019). The Growing Role of Complex Sensor Systems and Algorithmic Pattern Recognition for Vascular Dementia Onset. International Journal of Advanced Computer Science & Applications, 10(2), 199-208. https://europub.co.uk./articles/-A-468325