Health parameters monitoring by smartphone for quality of life improvement

F Lamonaca, G Polimeni, K Barbé, D Grimaldi - Measurement, 2015 - Elsevier
The large diffusion of smartphones equipped with new built-in sensors has stimulated
researchers to develop applications in different fields. The aim of this work is to provide an …

[HTML][HTML] Smartphone apps using photoplethysmography for heart rate monitoring: meta-analysis

B De Ridder, B Van Rompaey, JK Kampen, S Haine… - JMIR cardio, 2018 - cardio.jmir.org
Background: Smartphone ownership is rising at a stunning rate. Moreover, smartphones
prove to be suitable for use in health care due to their availability, portability, user …

A Neural Network-based method for continuous blood pressure estimation from a PPG signal

Y Kurylyak, F Lamonaca… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
There is a relation, not always linear, between the blood pressure and the pulse duration,
obtained from photoplethysmography (PPG) signal. In order to estimate the blood pressure …

A benchmark study of machine learning for analysis of signal feature extraction techniques for blood pressure estimation using photoplethysmography (PPG)

S Maqsood, S Xu, M Springer, R Mohawesh - Ieee Access, 2021 - ieeexplore.ieee.org
Cardiovascular related diseases are the most significant health concern around the globe.
The most crucial health indicator is blood pressure because it gives essential information …

A SVM method for continuous blood pressure estimation from a PPG signal

Y Zhang, Z Feng - Proceedings of the 9th international conference on …, 2017 - dl.acm.org
There is not always a linear relationship between the blood pressure and the pulse duration
obtained from photoplethysmography (PPG) signal. In order to estimate the blood pressure …

Advanced bio-inspired system for noninvasive cuff-less blood pressure estimation from physiological signal analysis

F Rundo, A Ortis, S Battiato, S Conoci - Computation, 2018 - mdpi.com
Blood Pressure (BP) is one of the most important physiological indicators that provides
useful information in the field of health-care monitoring. Blood pressure may be measured …

Using a smartphone to measure heart rate changes during relived happiness and anger

D Lakens - IEEE transactions on affective computing, 2013 - ieeexplore.ieee.org
This study demonstrates the feasibility of measuring heart rate (HR) differences associated
with emotional states such as anger and happiness with a smartphone. Novice …

A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types

L Yan, S Hu, A Alzahrani, S Alharbi, P Blanos - Biosensors, 2017 - mdpi.com
Different skin pigments among various ethnic group people have an impact on spectrometric
illumination on skin surface. To effectively capture photoplethysmographic (PPG) signals, a …

A machine learning approach to predict diabetes using short recorded photoplethysmography and physiological characteristics

C Hettiarachchi, C Chitraranjan - … in Medicine: 17th Conference on Artificial …, 2019 - Springer
Diabetes is a global epidemic, which leads to severe complications such as heart disease,
limb amputations and blindness, mainly occurring due to the inability of early detection …

Noise cleaning and Gaussian modeling of smart phone photoplethysmogram to improve blood pressure estimation

R Banerjee, A Ghose, AD Choudhury… - … , Speech and Signal …, 2015 - ieeexplore.ieee.org
Photoplethysmography (PPG) signals, captured using smart phones are generally noisy in
nature. Although they have been successfully used to determine heart rate from frequency …