title: An ultra low power ECG signal processor design for cardiovascular disease detection.
abstract: This paper presents an ultra low power ASIC design based on a new cardiovascular disease diagnostic algorithm. This new algorithm based on forward search is designed for real time ECG signal processing. The algorithm is evaluated for Physionet PTB database from the point of view of cardiovascular disease diagnosis. The failed detection rate of QRS complex peak detection of our algorithm ranges from 0.07% to 0.26% for multi lead ECG signal. The ASIC is designed using 130-nm CMOS low leakage process technology. The area of ASIC is 1.21 mm(2). This ASIC consumes only 96 nW at an operating frequency of 1 kHz with a supply voltage of 0.9 V. Due to ultra low power consumption, our proposed ASIC design is most suitable for energy efficient wearable ECG monitoring devices.
authors.forename: Sanjeev Kumar
authors.initials: SK
authors.lastname: Jain
authors.forename: Basabi
authors.initials: B
authors.lastname: Bhaumik
mesh_terms: D000465:Algorithms; D002318:Cardiovascular Diseases; D016208:Databases, Factual; D004562:Electrocardiography; D004867:Equipment Design; D006801:Humans; D012815:Signal Processing, Computer-Assisted