Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
A review on computation methods used in photoplethysmography signal analysis for heart rate estimation
Photoplethysmography (PPG) sensor-enabled wearable health monitoring devices can
monitor realtime health status. PPG technology is a low-cost, noninvasive optical method …
monitor realtime health status. PPG technology is a low-cost, noninvasive optical method …
PP-Net: A deep learning framework for PPG-based blood pressure and heart rate estimation
This paper presents a deep learning model'PP-Net'which is the first of its kind, having the
capability to estimate the physiological parameters: Diastolic blood pressure (DBP), Systolic …
capability to estimate the physiological parameters: Diastolic blood pressure (DBP), Systolic …
Prediction of arterial blood pressure waveforms from photoplethysmogram signals via fully convolutional neural networks
Cardiovascular disease (CVD) is one of the most serious diseases threatening human
health. Arterial blood pressure (ABP) waveforms, containing vivid cardiovascular …
health. Arterial blood pressure (ABP) waveforms, containing vivid cardiovascular …
Porous dielectric materials based wearable capacitance pressure sensors for vital signs monitoring: A review
SK Chittibabu, K Chintagumpala… - Materials Science in …, 2022 - Elsevier
Electrical transduction-based pressure sensors namely resistance, capacitance,
piezoelectric, and triboelectric pressure sensors are deep-rooted in different applications …
piezoelectric, and triboelectric pressure sensors are deep-rooted in different applications …
Mental stress detection using a wearable in-ear plethysmography
This study presents an ear-mounted photoplethysmography (PPG) system that is designed
to detect mental stress. Mental stress is a prevalent condition that can negatively impact an …
to detect mental stress. Mental stress is a prevalent condition that can negatively impact an …
Reference signal less Fourier analysis based motion artifact removal algorithm for wearable photoplethysmography devices to estimate heart rate during physical …
Context Accurate and reliable heart rate (HR) estimation using photoplethysmographic
(PPG)-enabled wearable devices in real-time during daily life activities is challenging …
(PPG)-enabled wearable devices in real-time during daily life activities is challenging …
Estimation of beat-by-beat blood pressure and heart rate from ECG and PPG using a fine-tuned deep CNN model
CT Yen, SN Chang, CH Liao - IEEE Access, 2022 - ieeexplore.ieee.org
Given that current cuffless blood pressure (BP) measurement technologies feature
acceptable overall accuracy, this paper proposed a sufficiently accurate cuffless BP …
acceptable overall accuracy, this paper proposed a sufficiently accurate cuffless BP …
[HTML][HTML] PPG and Bioimpedance-Based Wearable Applications in Heart Rate Monitoring—A Comprehensive Review
The monitoring of hemodynamic parameters, such as heart rate and blood pressure,
provides valuable indications of overall cardiovascular health. It is preferable that such …
provides valuable indications of overall cardiovascular health. It is preferable that such …
Machine learning framework for Inter-Beat Interval estimation using wearable Photoplethysmography sensors
VBO Fioravanti, PG Freitas, PG Rodrigues… - … Signal Processing and …, 2024 - Elsevier
Abstract Accurate estimation of Heart Rate (HR) is crucial for various health and fitness
tracking applications in wearable devices. Among the existing techniques, those based on …
tracking applications in wearable devices. Among the existing techniques, those based on …