Physiological system time series (signals) usually follow a pattern of fluctuations over time.
Mining the potential dynamic features of physiological system time series is the key to …

QRS detection is a crucial step in analyzing the electrocardiogram (ECG). For ECG collected
by wearable devices, a robust QRS detection algorithm that yields high accuracy in spite of …

QRS detection is a crucial task for ECG signal analysis, which is the preliminary and
essential step to further recognition and diagnosis. This paper proposes a U-Net based …

(1) Background: Plant electrical signals are important physiological traits which reflect plant
physiological state. As a kind of phenotypic data, plant action potential (AP) evoked by …

More than a century has passed since Einthoven laid the foundation of modern
electrocardiography and in recent years, driven by the advance of wearable and low budget …

Detection of QRS-complex in the electrocardiogram (ECG) plays a decisive role in cardiac
disorder detection. We face many challenges in terms of powerline interference, baseline …

The environment prototype of the Internet of Things (IoT) has opened the horizon for
researchers to utilize such environments in deploying useful new techniques and methods …

This paper describes an electrocardiograph (ECG) monitoring SoC using a non-volatile
MCU (NVMCU) and a noise-tolerant instantaneous heartbeat detector. The novelty of this …

This article describes a multimodal cardiovascular information measurement method using a
wearable device composed of piezoelectric transducers. Cardiovascular diseases are …

This paper describes a non-contact heart rate monitoring system using a microwave Doppler
sensor. It can achieve better usability than conventional heart rate sensors, which require …