Determination gender-based hybrid artificial intelligence of body muscle percentage by photoplethysmography signal.

Journal: Computer methods and programs in biomedicine
Published Date: Jul 8, 2022

Abstract

BACKGROUND AND OBJECTIVE: Muscle mass is one of the critical components that ensure muscle function. Loss of muscle mass at every stage of life can cause many adverse effects. Sarcopenia, which can occur in different age groups and is characterized by a decrease in muscle mass, is a critical syndrome that affects the quality of life of individuals. Aging, a universal process, can also cause loss of muscle mass. It is essential to monitor and measure muscle mass, which should be sufficient to maintain optimal health. Having various disadvantages with the ordinary methods used to estimate muscle mass increases the need for the new high technology methods. This study aims to develop a low-cost and trustworthy Body Muscle Percentage calculation model based on artificial intelligence algorithms and biomedical signals.

Authors

  • Muhammed Kursad Ucar
    Electrical-Electronics Engineering, Faculty of Engineering, Sakarya University, 54187 Sakarya, Turkey.
  • Kübra Uçar
    Hacettepe University, Faculty of Health Sciences, Department of Nutrition and Dietetics, Sihhiye, Ankara 06100, Turkey. Electronic address: kubraucar@hacettepe.edu.tr.
  • Zeliha Uçar
    Istanbul Okan University, Institute of Health Sciences, Nutrition and Dietetics, Mecidiyekoy, Istanbul 34394, Turkey. Electronic address: zelihaguvenc@hotmail.com.
  • Mehmet Recep Bozkurt
    Sakarya University, Faculty of Engineering, Electrical-Electronics Engineering, Serdivan, Sakarya 54187, Turkey. Electronic address: mbozkurt@sakarya.edu.tr.

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