Classification of Bio-optical signals using soft computing tools

G. Subramanya Nayak; C. Puttamadappa; Akshata Kamath; B. Raja Sudeep; K. Kavitha

doi:10.1109/SNPD.2008.9

Classification of Bio-optical signals using soft computing tools

G. Subramanya Nayak, C. Puttamadappa, Akshata Kamath, B. Raja Sudeep, K. Kavitha

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

The identification of the state of human skin tissues is discussed here. The Bio-optical signals recorded in vitro have been analyzed by extracting various statistical features. Using LAB VIEW 7.1 programs/tools, different statistical features are extracted from both normal and pathology spectra. Each spectrum is flittered and normalized. Then different features like Skewness, summation, median residuals, power spectral density, etc were extracted. The values of the feature vector reveal information regarding tissue state. The values of the feature vector reveal information regarding tissue state. These parameters have been analyzed for discrimination between normal and pathology conditions. For analysis, a specific data set has been considered. Further discrimination between normal and pathology spectra is also be achieved by using MATLAB @6.1 tool based classical multilayer feed forward neural network with back propagation algorithm

Original language	English
Title of host publication	Proc. 9th ACIS Int. Conf. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 and 2nd Int. Workshop on Advanced Internet Technology and Applications
Pages	661-663
Number of pages	3
DOIs	https://doi.org/10.1109/SNPD.2008.9
Publication status	Published - 2008
Event	9th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 in conjunction with 2nd International Workshop on Advanced Internet Technology and Applications, AITA 2008 - Phuket, Thailand Duration: 06-08-2008 → 08-08-2008

Conference

Conference	9th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 in conjunction with 2nd International Workshop on Advanced Internet Technology and Applications, AITA 2008
Country/Territory	Thailand
City	Phuket
Period	06-08-08 → 08-08-08

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/SNPD.2008.9

Cite this

Nayak, G. S., Puttamadappa, C., Kamath, A., Sudeep, B. R., & Kavitha, K. (2008). Classification of Bio-optical signals using soft computing tools. In Proc. 9th ACIS Int. Conf. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 and 2nd Int. Workshop on Advanced Internet Technology and Applications (pp. 661-663). Article 4617448 https://doi.org/10.1109/SNPD.2008.9

@inproceedings{b296e39bac7e47b6802713d0fcfc6066,

title = "Classification of Bio-optical signals using soft computing tools",

abstract = "The identification of the state of human skin tissues is discussed here. The Bio-optical signals recorded in vitro have been analyzed by extracting various statistical features. Using LAB VIEW 7.1 programs/tools, different statistical features are extracted from both normal and pathology spectra. Each spectrum is flittered and normalized. Then different features like Skewness, summation, median residuals, power spectral density, etc were extracted. The values of the feature vector reveal information regarding tissue state. The values of the feature vector reveal information regarding tissue state. These parameters have been analyzed for discrimination between normal and pathology conditions. For analysis, a specific data set has been considered. Further discrimination between normal and pathology spectra is also be achieved by using MATLAB @6.1 tool based classical multilayer feed forward neural network with back propagation algorithm",

author = "Nayak, {G. Subramanya} and C. Puttamadappa and Akshata Kamath and Sudeep, {B. Raja} and K. Kavitha",

year = "2008",

doi = "10.1109/SNPD.2008.9",

language = "English",

isbn = "9780769532639",

pages = "661--663",

booktitle = "Proc. 9th ACIS Int. Conf. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 and 2nd Int. Workshop on Advanced Internet Technology and Applications",

note = "9th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 in conjunction with 2nd International Workshop on Advanced Internet Technology and Applications, AITA 2008 ; Conference date: 06-08-2008 Through 08-08-2008",

}

Nayak, GS, Puttamadappa, C, Kamath, A, Sudeep, BR & Kavitha, K 2008, Classification of Bio-optical signals using soft computing tools. in Proc. 9th ACIS Int. Conf. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 and 2nd Int. Workshop on Advanced Internet Technology and Applications., 4617448, pp. 661-663, 9th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 in conjunction with 2nd International Workshop on Advanced Internet Technology and Applications, AITA 2008, Phuket, Thailand, 06-08-08. https://doi.org/10.1109/SNPD.2008.9

Classification of Bio-optical signals using soft computing tools. / Nayak, G. Subramanya; Puttamadappa, C.; Kamath, Akshata et al.
Proc. 9th ACIS Int. Conf. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 and 2nd Int. Workshop on Advanced Internet Technology and Applications. 2008. p. 661-663 4617448.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Classification of Bio-optical signals using soft computing tools

AU - Nayak, G. Subramanya

AU - Puttamadappa, C.

AU - Kamath, Akshata

AU - Sudeep, B. Raja

AU - Kavitha, K.

PY - 2008

Y1 - 2008

N2 - The identification of the state of human skin tissues is discussed here. The Bio-optical signals recorded in vitro have been analyzed by extracting various statistical features. Using LAB VIEW 7.1 programs/tools, different statistical features are extracted from both normal and pathology spectra. Each spectrum is flittered and normalized. Then different features like Skewness, summation, median residuals, power spectral density, etc were extracted. The values of the feature vector reveal information regarding tissue state. The values of the feature vector reveal information regarding tissue state. These parameters have been analyzed for discrimination between normal and pathology conditions. For analysis, a specific data set has been considered. Further discrimination between normal and pathology spectra is also be achieved by using MATLAB @6.1 tool based classical multilayer feed forward neural network with back propagation algorithm

AB - The identification of the state of human skin tissues is discussed here. The Bio-optical signals recorded in vitro have been analyzed by extracting various statistical features. Using LAB VIEW 7.1 programs/tools, different statistical features are extracted from both normal and pathology spectra. Each spectrum is flittered and normalized. Then different features like Skewness, summation, median residuals, power spectral density, etc were extracted. The values of the feature vector reveal information regarding tissue state. The values of the feature vector reveal information regarding tissue state. These parameters have been analyzed for discrimination between normal and pathology conditions. For analysis, a specific data set has been considered. Further discrimination between normal and pathology spectra is also be achieved by using MATLAB @6.1 tool based classical multilayer feed forward neural network with back propagation algorithm

UR - http://www.scopus.com/inward/record.url?scp=57749179310&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=57749179310&partnerID=8YFLogxK

U2 - 10.1109/SNPD.2008.9

DO - 10.1109/SNPD.2008.9

M3 - Conference contribution

AN - SCOPUS:57749179310

SN - 9780769532639

SP - 661

EP - 663

BT - Proc. 9th ACIS Int. Conf. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 and 2nd Int. Workshop on Advanced Internet Technology and Applications

T2 - 9th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 in conjunction with 2nd International Workshop on Advanced Internet Technology and Applications, AITA 2008

Y2 - 6 August 2008 through 8 August 2008

ER -

Nayak GS, Puttamadappa C, Kamath A, Sudeep BR, Kavitha K. Classification of Bio-optical signals using soft computing tools. In Proc. 9th ACIS Int. Conf. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2008 and 2nd Int. Workshop on Advanced Internet Technology and Applications. 2008. p. 661-663. 4617448 doi: 10.1109/SNPD.2008.9

Classification of Bio-optical signals using soft computing tools

Abstract

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this