TY - GEN
T1 - Application of random forest classifier for automatic sleep spindle detection
AU - Patti, Chanakya Reddy
AU - Shahrbabaki, Sobhan Salari
AU - Dissanayaka, Chamila
AU - Cvetkovic, Dean
PY - 2015/12/7
Y1 - 2015/12/7
N2 - Sleep spindle detection using supervised learning methods such as Artificial Neural Networks and Support Vector Machines had been researched in the past. Supervised learning methods such as the above are prone to overfitting problems. In this research paper, we explore the detection of sleep spindles using the Random Forest classifier which is known to over fit data to a much lower extent when compared to other supervised classifiers. The classifier was developed using data from 3 subjects and it was tested on data from 12 subjects from the MASS database. A sensitivity of 71.2% and a specificity of 96.73% was achieved using the random forest classifier.
AB - Sleep spindle detection using supervised learning methods such as Artificial Neural Networks and Support Vector Machines had been researched in the past. Supervised learning methods such as the above are prone to overfitting problems. In this research paper, we explore the detection of sleep spindles using the Random Forest classifier which is known to over fit data to a much lower extent when compared to other supervised classifiers. The classifier was developed using data from 3 subjects and it was tested on data from 12 subjects from the MASS database. A sensitivity of 71.2% and a specificity of 96.73% was achieved using the random forest classifier.
KW - Automatic Detection
KW - Random Forest
KW - Sleep Spindles
KW - Supervised Learning
UR - http://www.scopus.com/inward/record.url?scp=84962696370&partnerID=8YFLogxK
U2 - 10.1109/BioCAS.2015.7348373
DO - 10.1109/BioCAS.2015.7348373
M3 - Conference contribution
AN - SCOPUS:84962696370
T3 - IEEE Biomedical Circuits and Systems Conference: Engineering for Healthy Minds and Able Bodies, BioCAS 2015 - Proceedings
BT - IEEE Biomedical Circuits and Systems Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE Biomedical Circuits and Systems Conference, BioCAS 2015
Y2 - 22 October 2015 through 24 October 2015
ER -