A neuromorphic physiological signal processing system based on VO2 memristor for next-generation human-machine interface
Physiological signal processing plays a key role in next-generation human-machine
interfaces as physiological signals provide rich cognition-and health-related information …
interfaces as physiological signals provide rich cognition-and health-related information …
Recent trends and future prospects of neural recording circuits and systems: A tutorial brief
Recent years have seen fast advances in neural recording circuits and systems as they offer
a promising way to investigate real-time brain monitoring and the closed-loop modulation of …
a promising way to investigate real-time brain monitoring and the closed-loop modulation of …
A 13.34 μW Event-Driven Patient-Specific ANN Cardiac Arrhythmia Classifier for Wearable ECG Sensors
Artificial neural network (ANN) and its variants are favored algorithm in designing cardiac
arrhythmia classifier (CAC) for its high accuracy. However, the implementation of ultralow …
arrhythmia classifier (CAC) for its high accuracy. However, the implementation of ultralow …
Emerging energy-efficient biosignal-dedicated circuit techniques: A tutorial brief
High spatiotemporal resolution biosignal that is vital for biomedical applications results in an
information bottleneck that poses challenges for their transferring and processing. The …
information bottleneck that poses challenges for their transferring and processing. The …
An implantable neuromorphic sensing system featuring near-sensor computation and send-on-delta transmission for wireless neural sensing of peripheral nerves
This article presents a bioinspired, event-driven neuromorphic sensing system (NSS)
capable of performing on-chip feature extraction and “send-on-delta” pulse-based …
capable of performing on-chip feature extraction and “send-on-delta” pulse-based …
Effective epileptic seizure detection by using level-crossing EEG sampling sub-bands statistical features selection and machine learning for mobile healthcare
SM Qaisar, SF Hussain - Computer Methods and Programs in Biomedicine, 2021 - Elsevier
Mobile healthcare is an emerging approach which can be realized by using cloud-
connected biomedical implants. In this context, a level-crossing sampling and adaptive-rate …
connected biomedical implants. In this context, a level-crossing sampling and adaptive-rate …
Event-driven circuits and systems: A promising low power technique for intelligent sensors in aiot era
This brief presents an overview of current trends in the level-crossing based even-driven
systems for wireless sensors in AIoT applications. We show that orders of magnitude …
systems for wireless sensors in AIoT applications. We show that orders of magnitude …
Cloud-based ECG monitoring using event-driven ECG acquisition and machine learning techniques
S Mian Qaisar, A Subasi - Physical and Engineering Sciences in Medicine, 2020 - Springer
An approach is proposed for the detection of chronic heart disorders from the
electrocardiogram (ECG) signals. It utilizes an intelligent event-driven ECG signal …
electrocardiogram (ECG) signals. It utilizes an intelligent event-driven ECG signal …
Power efficiency comparison of event-driven and fixed-rate signal conversion and compression for biomedical applications
J Van Assche, G Gielen - IEEE Transactions on Biomedical …, 2020 - ieeexplore.ieee.org
Energy-constrained biomedical recording systems need power-efficient data converters and
good signal compression in order to meet the stringent power consumption requirements of …
good signal compression in order to meet the stringent power consumption requirements of …
Evaluation of level-crossing ADCs for event-driven ECG classification
In this paper, a new methodology for choosing design parameters of level-crossing analog-
to-digital converters (LC-ADCs) is presented that improves sampling accuracy and reduces …
to-digital converters (LC-ADCs) is presented that improves sampling accuracy and reduces …