Smartphone sensors for health monitoring and diagnosis

S Majumder, MJ Deen - Sensors, 2019 - mdpi.com
Over the past few decades, we have witnessed a dramatic rise in life expectancy owing to
significant advances in medical science and technology, medicine as well as increased …

Unobtrusive sensing and wearable devices for health informatics

YL Zheng, XR Ding, CCY Poon, BPL Lo… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
The aging population, prevalence of chronic diseases, and outbreaks of infectious diseases
are some of the major challenges of our present-day society. To address these unmet …

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 …

Tracking the evolution of smartphone sensing for monitoring human movement

MB Del Rosario, SJ Redmond, NH Lovell - Sensors, 2015 - mdpi.com
Advances in mobile technology have led to the emergence of the “smartphone”, a new class
of device with more advanced connectivity features that have quickly made it a constant …

Applications of smartphone‐based sensors in agriculture: a systematic review of research

S Pongnumkul, P Chaovalit, N Surasvadi - Journal of Sensors, 2015 - Wiley Online Library
Smartphones have become a useful tool in agriculture because their mobility matches the
nature of farming, the cost of the device is highly accessible, and their computing power …

A noninvasive blood glucose monitoring system based on smartphone PPG signal processing and machine learning

G Zhang, Z Mei, Y Zhang, X Ma, B Lo… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Blood glucose level needs to be monitored regularly to manage the health condition of
hyperglycemic patients. The current glucose measurement approaches still rely on invasive …

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 …

State of the art and future developments of measurement applications on smartphones

P Daponte, L De Vito, F Picariello, M Riccio - Measurement, 2013 - Elsevier
The modern smartphones contain different sensor technologies, so they can be used as
stand-alone measurement instruments on a wide range of application domains. The paper …

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 …

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 …