Sensors and functionalities of non-invasive wrist-wearable devices: A review
Wearable devices have recently received considerable interest due to their great promise for
a plethora of applications. Increased research efforts are oriented towards a non-invasive …
a plethora of applications. Increased research efforts are oriented towards a non-invasive …
Heart rate variability (HRV) and pulse rate variability (PRV) for the assessment of autonomic responses
Introduction: Heart Rate Variability (HRV) and Pulse Rate Variability (PRV), are non-invasive
techniques for monitoring changes in the cardiac cycle. Both techniques have been used for …
techniques for monitoring changes in the cardiac cycle. Both techniques have been used for …
Photoplethysmography signal processing and synthesis
This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
Detecting wind turbine anomalies using nonlinear dynamic parameters-assisted machine learning with normal samples
K Shao, Y He, Z **ng, B Du - Reliability Engineering & System Safety, 2023 - Elsevier
Anomaly detection is critical for the reliability and safety of wind turbine. Toward this
objective, this paper proposes an anomaly detection scheme for wind turbine using only …
objective, this paper proposes an anomaly detection scheme for wind turbine using only …
[HTML][HTML] Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach
Over the past few years, there has been a noticeable advancement in environmental models
and information fusion systems taking advantage of the recent developments in sensor and …
and information fusion systems taking advantage of the recent developments in sensor and …
Investigation of converse magnetoelectric thin-film sensors for magnetocardiography
E Elzenheimer, P Hayes, L Thormählen… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
In principle, electrode-based bioelectrical signal acquisition can be complemented by
biomagnetic sensing and therefore requires a more detailed assessment, especially …
biomagnetic sensing and therefore requires a more detailed assessment, especially …
Automated detection of convulsive seizures using a wearable accelerometer device
Epileptic seizure detection requires specialized approaches such as video/
electroencephalography monitoring. However, these approaches are restricted mainly to …
electroencephalography monitoring. However, these approaches are restricted mainly to …
Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
Heart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely
studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) …
studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) …
Classification of blood pressure in critically ill patients using photoplethysmography and machine learning
Objective: The aim of this study was to evaluate the capability of features extracted from
photoplethysmography (PPG) based Pulse Rate Variability (PRV) to classify hypertensive …
photoplethysmography (PPG) based Pulse Rate Variability (PRV) to classify hypertensive …
Cardiac conduction model for generating 12 lead ECG signals with realistic heart rate dynamics
We present an extended heterogeneous oscillator model of cardiac conduction system for
generation of realistic 12 lead ECG waveforms. The model consists of main natural …
generation of realistic 12 lead ECG waveforms. The model consists of main natural …