The 2023 wearable photoplethysmography roadmap
Photoplethysmography is a key sensing technology which is used in wearable devices such
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …
Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet
The photoplethysmogram (PPG) signal is widely measured by clinical and consumer
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
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 …
[HTML][HTML] The use of photoplethysmography in the assessment of mental health: scoping review
Background With the rise in mental health problems globally, mobile health provides
opportunities for timely medical care and accessibility. One emerging area of mobile health …
opportunities for timely medical care and accessibility. One emerging area of mobile health …
pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis
MÁ Goda, PH Charlton, JA Behar - Physiological Measurement, 2024 - iopscience.iop.org
Objective. Photoplethysmography is a non-invasive optical technique that measures
changes in blood volume within tissues. It is commonly and being increasingly used for a …
changes in blood volume within tissues. It is commonly and being increasingly used for a …
Intensive care photoplethysmogram datasets and machine-learning for blood pressure estimation: Generalization not guarantied
G Weber-Boisvert, B Gosselin, F Sandberg - Frontiers in Physiology, 2023 - frontiersin.org
The large MIMIC waveform dataset, sourced from intensive care units, has been used
extensively for the development of Photoplethysmography (PPG) based blood pressure (BP) …
extensively for the development of Photoplethysmography (PPG) based blood pressure (BP) …
Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis
S Kontaxis, E Laporta, E Garcia, M Martinis, L Leocani… - Sensors, 2023 - mdpi.com
The aim of this study was to investigate the feasibility of automatically assessing the 2-
Minute Walk Distance (2MWD) for monitoring people with multiple sclerosis (pwMS). For 154 …
Minute Walk Distance (2MWD) for monitoring people with multiple sclerosis (pwMS). For 154 …
Biopsychosocial response to the COVID-19 lockdown in people with major depressive disorder and multiple sclerosis
Background: Changes in lifestyle, finances and work status during COVID-19 lockdowns
may have led to biopsychosocial changes in people with pre-existing vulnerabilities such as …
may have led to biopsychosocial changes in people with pre-existing vulnerabilities such as …
DSE-NN: Deeply Supervised Efficient Neural Network for Real-Time Remote Photoplethysmography
S Lee, M Lee, JY Sim - Bioengineering, 2023 - mdpi.com
Non-contact remote photoplethysmography can be used in a variety of medical and
healthcare fields by measuring vital signs continuously and unobtrusively. Recently, end-to …
healthcare fields by measuring vital signs continuously and unobtrusively. Recently, end-to …
[HTML][HTML] Compelling new electrocardiographic markers for automatic diagnosis
Abstract Background and Objective: The automatic diagnosis of heart diseases from the
electrocardiogram (ECG) signal is crucial in clinical decision-making. However, the use of …
electrocardiogram (ECG) signal is crucial in clinical decision-making. However, the use of …