scholarly journals FLEXIBLE SYSTEMS FOR WEARABLE PHYSIOLOGICAL MONITORING APPLICATIONS

2016 ◽  
Author(s):  
S. Emaminejad ◽  
W. Gao ◽  
H. Yin Yin Nyein ◽  
S. Challa ◽  
R.W. Davis ◽  
...  
Keyword(s):  
Physiological Monitoring ◽  
Flexible Systems ◽  
Monitoring Applications

scholarly journals Augmentation of Dispersion Entropy for Handling Missing and Outlier Samples in Physiological Signal Monitoring

Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 319 ◽  
Author(s):  
Evangelos Kafantaris ◽  
Ian Piper ◽  
Tsz-Yan Milly Lo ◽  
Javier Escudero
Keyword(s):  
Time Series ◽  
Wearable Devices ◽  
Physiological Monitoring ◽  
Disruptive Effect ◽  
Respiratory Impedance ◽  
Common Occurrence ◽  
Original Algorithm ◽  
Physiological Signal ◽  
Monitoring Applications ◽  
Improved Performance

Entropy quantification algorithms are becoming a prominent tool for the physiological monitoring of individuals through the effective measurement of irregularity in biological signals. However, to ensure their effective adaptation in monitoring applications, the performance of these algorithms needs to be robust when analysing time-series containing missing and outlier samples, which are common occurrence in physiological monitoring setups such as wearable devices and intensive care units. This paper focuses on augmenting Dispersion Entropy (DisEn) by introducing novel variations of the algorithm for improved performance in such applications. The original algorithm and its variations are tested under different experimental setups that are replicated across heart rate interval, electroencephalogram, and respiratory impedance time-series. Our results indicate that the algorithmic variations of DisEn achieve considerable improvements in performance while our analysis signifies that, in consensus with previous research, outlier samples can have a major impact in the performance of entropy quantification algorithms. Consequently, the presented variations can aid the implementation of DisEn to physiological monitoring applications through the mitigation of the disruptive effect of missing and outlier samples.

Growth of CNT array for physiological monitoring applications

2008 ◽  
Author(s):  
J. K. Radhakrishnan ◽  
H. Bhusan ◽  
P. S. Pandian ◽  
K. U. B. Rao ◽  
V. C. Padaki ◽  
...  
Keyword(s):  
Physiological Monitoring ◽  
Monitoring Applications

scholarly journals Development of a Novel Contactless Mechanocardiograph Device

2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
Kouhyar Tavakolian ◽  
Faranak M. Zadeh ◽  
Yindar Chuo ◽  
Ali Vaseghi ◽  
Bozena Kaminska
Keyword(s):  
Heart Rate ◽  
Respiration Rate ◽  
Research Work ◽  
Physiological Monitoring ◽  
Monitoring Applications ◽  
Novel Method ◽  
Highly Correlated ◽  
Mechanical Movement

A novel method of detecting mechanical movement of the heart, Mechanocardiography (MCG), with no connection to the subject's body is presented. This measurement is based on radar technology and it has been proven through this research work that the acquired signal is highly correlated to the phonocardiograph signal and acceleration-based ballistocardiograph signal (BCG) recorded directly from the sternum. The heart rate and respiration rate have been extracted from the acquired signal as two possible physiological monitoring applications of the radar-based MCG device.

Practical Resources for Provision of Services to Culturally and Linguistically Diverse Users of AAC

2015 ◽  
Vol 22 (1) ◽  
pp. 25-39
Author(s):  
Elena Dukhovny ◽  
E. Betsy Kelly
Keyword(s):  
Best Practices ◽  
Augmentative And Alternative Communication ◽  
Linguistically Diverse ◽  
Intervention Strategies ◽  
Culturally And Linguistically Diverse ◽  
Limited Resources ◽  
Flexible Systems ◽  
Alternative Communication ◽  
Practical Applications ◽  
Provision Of Services

According to the 2010 U.S. Census, over 20% of Americans speak a language other than English in the home, with Spanish, Chinese, and French being the languages most commonly spoken, aside from English. However, few augmentative and alternative communication (AAC) systems offer multilingual support for individuals with limited functional speech. There has been much discussion in the AAC community about best practices in AAC system design and intervention strategies, but limited resources exist to help us provide robust, flexible systems for users who speak languages other than English. We must provide services that take into consideration the unique needs of culturally and linguistically diverse users of AAC and help them reach their full communication potential. This article outlines basic guidelines for best practices in AAC design and selection, and presents practical applications of these best practices to multilingual/multicultural clients.

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