Published on in Vol 5, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20932, first published .
Diagnosis of Type 2 Diabetes Using Electrogastrograms: Extraction and Genetic Algorithm–Based Selection of Informative Features

Diagnosis of Type 2 Diabetes Using Electrogastrograms: Extraction and Genetic Algorithm–Based Selection of Informative Features

Diagnosis of Type 2 Diabetes Using Electrogastrograms: Extraction and Genetic Algorithm–Based Selection of Informative Features

Paramasivam Alagumariappan 1*, PhD;  Kamalanand Krishnamurthy 2*, PhD;  Sundravadivelu Kandiah 3*, MBBS;  Emmanuel Cyril 4*, PhD;  Rajinikanth V 5*, PhD

1 Department of Electrical and Electronics Engineering , Chennai , IN

2 Department of Instrumentation Engineering, MIT Campus, Anna University , Chennai , IN

3 Shree Balaji Clinic, Ezhil Nagar, Selaiyur , Chennai , IN

4 Global Hospitals & Health City, Cheran Nagar, Perumbakkam , Chennai , IN

5 Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering , Chennai , IN

*all authors contributed equally

Corresponding Author:

  • Paramasivam Alagumariappan, PhD
  • Department of Electrical and Electronics Engineering
  • B. S. Abdur Rahman Crescent Institute of Science and Technology,
  • Chennai
  • IN
  • Phone: 91 9843780801
  • Email: parama.ice@gmail.com