The Multi-Sensor Navigation Analysis Tool (MuSNAT) – Architecture, LiDAR, GPU/CPU GNSS Signal Processing

The electrochemical noise (ECN) measurements were conducted and used to assess the corrosion behaviors of the bare and TiO2 nanoparticles coated Ti-6Al-4V bioimplants exposed to three simulated biofluid solutions: 1) NaCl solution; 2) Hank’s solution; and 3) Cigada solution. The ECN data for bioimplants in these solutions were assessed by signal analysis techniques in both the time and frequency domains. In time domain analysis, the parameters including skewness, kurtosis, and noise resistance (Rn) were calculated. In frequency domain analysis, we introduced Fractional Order Signal Processing (FOSP) techniques to process the ECN data. Our results suggested that FOSP may provide a better signal analysis tool to evaluate the ECN signals than the conventional fast Fourier transforms (FFT) processing method.

Download Full-text

Ethnogeriatrics: Development and Application of the Cohort Analysis Tool

Perspectives on Communication Disorders and Sciences in Culturally and Linguistically Diverse Populations ◽

10.1044/cds21.2.37 ◽

2014 ◽

Vol 21 (2) ◽

pp. 37-52

Author(s):

Melen McBride

Keyword(s):

Healthcare Professionals ◽

Cohort Analysis ◽

Analysis Tool ◽

Speech Language Pathology ◽

Clinical Tool ◽

Research Activities ◽

Key Concepts ◽

Practice Teaching ◽

Language Pathology ◽

Significant Factors

Ethnogeriatrics is an evolving specialty in geriatric care that focuses on the health and aging issues in the context of culture for older adults from diverse ethnic backgrounds. This article is an introduction to ethnogeriatrics for healthcare professionals including speech-language pathologists (SLPs). This article focuses on significant factors that contributed to the development of ethnogeriatrics, definitions of some key concepts in ethnogeriatrics, introduces cohort analysis as a teaching and clinical tool, and presents applications for speech-language pathology with recommendations for use of cohort analysis in practice, teaching, and research activities.

Download Full-text

“I Can See What You’re Saying”: Clinical Utility of Spectral Moment Analysis

Perspectives on Speech Science and Orofacial Disorders ◽

10.1044/ssod21.2.44 ◽

2011 ◽

Vol 21 (2) ◽

pp. 44-54

Author(s):

Kerry Callahan Mandulak

Keyword(s):

Speech Production ◽

Speech Signal ◽

Clinical Utility ◽

Acoustic Analysis ◽

Moment Analysis ◽

Analysis Tool ◽

Spectral Moment ◽

Clinical Measure ◽

Perceptual Analysis ◽

Disordered Speech

Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available and accessible, clinicians need training with, and exposure to, acoustic analysis methods in order to integrate them into traditional methods used to assess speech production.

Download Full-text