TY - JOUR
AU1 - N., Sunilkumar K.
AU2 - Shivashankar, Shivashankar
AU3 - Keshavamurthy, Keshavamurthy
AU4 - 
AB - International Journal of Electrical and Computer Engineering (IJECE) Vol. 11, No. 1, February 2021, pp. 424~433 ISSN: 2088-8708, DOI: 10.11591/ijece.v11i1.pp424-433  424 Sunilkumar K. N., Shivashankar, Keshavamurthy Sri Venkateshwara College of Engineering, India Article Info ABSTRACT Latest developments in wearable devices permits un-damageable and Article history: cheapest way for gathering of medical data such as bio-signals like ECG, Received Jul 18, 2019 Respiration, Blood pressure etc. Gathering and analysis of various Revised Jun 28, 2020 biomarkers are considered to provide anticipatory healthcare through Accepted Aug 6, 2020 customized applications for medical purpose. Wearable devices will rely on size, resources and battery capacity; we need a novel algorithm to robustly control memory and the energy of the device. The rapid growth of Keywords: the technology has led to numerous auto encoders that guarantee the results by extracting feature selection from time and frequency domain in an Auto-encoder efficient way. The main aim is to train the hidden layer to reconstruct Bio-medical signals the data similar to that of input. In the previous works, to accomplish Feature selection the compression all features were needed but in our proposed framework bio-signals compression using auto-encoder (BCAE) will perform task by taking only important 
TI - Bio-signals compression using auto-encoder
JF - International Journal of Electrical and Computer Engineering (IJECE)
DO - 10.11591/ijece.v11i1.pp424-433
DA - 2021-02-01
UR - https://www.deepdyve.com/lp/unpaywall/bio-signals-compression-using-auto-encoder-Or8FhzAiQB
DP - DeepDyve
ER -