Journal ArticleDOI
A Level-Crossing Based QRS-Detection Algorithm for Wearable ECG Sensors
TLDR
An asynchronous analog-to-information conversion system is introduced for measuring the RR intervals of the electrocardiogram (ECG) signals and it contains a modified level-crossing analog- to-digital converter and a novel algorithm for detecting the R-peaks from the level-Crossing sampled data in a compressed volume of data.Abstract:
In this paper, an asynchronous analog-to-information conversion system is introduced for measuring the RR intervals of the electrocardiogram (ECG) signals. The system contains a modified level-crossing analog-to-digital converter and a novel algorithm for detecting the R-peaks from the level-crossing sampled data in a compressed volume of data. Simulated with MIT-BIH Arrhythmia Database, the proposed system delivers an average detection accuracy of 98.3%, a sensitivity of 98.89%, and a positive prediction of 99.4%. Synthesized in 0.13 μm CMOS technology with a 1.2 V supply voltage, the overall system consumes 622 nW with core area of 0.136 mm2 which make it suitable for wearable wireless ECG sensors in body-sensor networks.read more
Citations
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Journal ArticleDOI
Wearable Sensors for Human Activity Monitoring: A Review
TL;DR: The latest reported systems on activity monitoring of humans based on wearable sensors and issues to be addressed to tackle the challenges are reviewed.
Journal ArticleDOI
ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges.
TL;DR: A generic architectural model for ECG monitoring systems is proposed, an extensive analysis of ECG Monitoring systems’ value chain is conducted, and a thorough review of the relevant literature, classified against the experts’ taxonomy, is presented, highlighting challenges and current trends.
Journal ArticleDOI
PEA: Parallel electrocardiogram-based authentication for smart healthcare systems
TL;DR: This paper proposes a hybrid ECG feature extraction method that integrated fiducial- and non-fiducials-based features to extract more comprehensive ECG features and thereby improve the authentication stability.
Journal ArticleDOI
Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout.
Anup Das,Anup Das,Paruthi Pradhapan,Willemijn Groenendaal,Prathyusha Adiraju,Raj Thilak Rajan,Francky Catthoor,Siebren Schaafsma,Jeffrey L. Krichmar,Nikil Dutt,Chris Van Hoof +10 more
TL;DR: Results show high accuracy and low energy footprint in heart-rate estimation across subjects with and without cardiac irregularities, signifying the strong potential of this approach to be integrated in future wearable devices.
Journal ArticleDOI
Wearable and robust triboelectric nanogenerator based on crumpled gold films
Huamin Chen,Bai Lin,Tong Li,Chen Zhao,Jiushuang Zhang,Nan Zhang,Guofeng Song,Qiaoqiang Gan,Yun Xu +8 more
TL;DR: In this paper, a flexible TENG based on crumpled gold films was reported, achieving a maximum voltage of 124.6 V, a maximum current of 10.13μA and a maximum power density of 0.22mW/cm2.
References
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Journal ArticleDOI
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.
Ary L. Goldberger,Luís A. Nunes Amaral,Leon Glass,Jeffrey M. Hausdorff,Plamen Ch. Ivanov,Roger G. Mark,Joseph E. Mietus,George B. Moody,Chung-Kang Peng,H. Eugene Stanley +9 more
TL;DR: The newly inaugurated Research Resource for Complex Physiologic Signals (RRSPS) as mentioned in this paper was created under the auspices of the National Center for Research Resources (NCR Resources).
Journal ArticleDOI
A Real-Time QRS Detection Algorithm
Jiapu Pan,Willis J. Tompkins +1 more
TL;DR: A real-time algorithm that reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width of ECG signals and automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate.
Journal ArticleDOI
The impact of the MIT-BIH Arrhythmia Database
George B. Moody,Roger G. Mark +1 more
TL;DR: The history of the database, its contents, what is learned about database design and construction, and some of the later projects that have been stimulated by both the successes and the limitations of the MIT-BIH Arrhythmia Database are reviewed.
Journal ArticleDOI
The principles of software QRS detection
TL;DR: The authors provide an overview of these recent developments as well as of formerly proposed algorithms for QRS detection, which reflects the electrical activity within the heart during the ventricular contraction.
Journal ArticleDOI
Analysis of First-Derivative Based QRS Detection Algorithms
TL;DR: The modified Hamilton-Tompkins algorithm as well as the Hilbert transform-based algorithms had comparable, though slightly lower, accuracy; yet these automated algorithms present an advantage for real-time applications by avoiding human intervention in threshold determination.