Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier

Mishra, Bhanupriya; Nirala, Neelamshobha; Singh, Bikesh Kumar

doi:10.1007/s11760-023-02491-5

SIViP

2023

DOI: 10.1007/s11760-023-02491-5

|View full text |Cite

Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier

Bhanupriya Mishra

Neelamshobha Nirala

Bikesh Kumar Singh

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Research on Diabetes Classification based on R-R Interval and Main Weight Amplitude Ratio Percussion Entropy Algorithm

Xiao,

Jin,

Zhang

et al. 2024

2024 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)

View full text Add to dashboard Cite

Research on Diabetes Classification based on R-R Interval and Main Weight Amplitude Ratio Percussion Entropy Algorithm

Xiao,

Jin,

Zhang

et al. 2024

2024 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier

Cited by 1 publication

References 21 publications

Research on Diabetes Classification based on R-R Interval and Main Weight Amplitude Ratio Percussion Entropy Algorithm

Research on Diabetes Classification based on R-R Interval and Main Weight Amplitude Ratio Percussion Entropy Algorithm

Contact Info

Product

Resources

About