Development of QRS detection algorithm designed for wearable cardiorespiratory system.
An in-home sleep monitoring system was developed previously in our laboratory for monitoring electrocardiography (ECG) and respiratory signals. However, the ECG signal acquired with this system is prone to high-grade noise caused by motion artifact. Since the detection of the QRS complexes with high accuracy is very important in a computer-based analysis of the ECG, a high accuracy QRS detection algorithm is developed and based on the combination of heart rate indicators and morphological ECG features. The proposed algorithm is tested both on 16 h data acquired using the two sensors of our cardiorespiratory belt system, i.e., the polyvinylidene fluoride (PVDF) film and the conductive fabric sheets, and on all 48 records of the MIT/BIH Arrhythmia Database. Satisfying results are obtained for both databases, the sensitivity S(e) and positive predictivity P(+) were calculated for each case and results show S(e)=[96.98%, 93.76%] and P(+)=[97.81%, 99.48%] for conductive fabric and PVDF film sensors, respectively, and S(e)=99.77% and P(+)=99.64% in the case of the MIT/BIH Arrhythmia Database. Further, heart rate variability (HRV) measures were calculated using our system and a commercial system. A comparison between systems' results is done to show the usefulness of our developed algorithm used with our cardiorespiratory belt sensor.
Adnane
Mourad
M
Department of Mechanical Engineering, Yamaguchi University, 2-16-1, Tokiwadai, Ube, Yamaguchi, 755-8611, Japan. j501wc@yamaguchi-u.ac.jp
Jiang
Zhongwei
Z
Choi
Samjin
S
D000465:Algorithms; D000704:Analysis of Variance; D001145:Arrhythmias, Cardiac / Q000175:diagnosis; D001699:Biometry; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation / Q000706:statistics & numerical data*; D004867:Equipment Design; D006339:Heart Rate; D006801:Humans; D017286:Polysomnography / Q000295:instrumentation / Q000706:statistics & numerical data*; D011145:Polyvinyls; D012119:Respiration; D012815:Signal Processing, Computer-Assisted; D012891:Sleep Apnea Syndromes / Q000175:diagnosis; D005465:Fluorocarbon Polymers
D011145:Polyvinyls; C024865:polyvinylidene fluoride; D005465:Fluorocarbon Polymers