Technology roadmap for flexible sensors

Y Luo, MR Abidian, JH Ahn, D Akinwande… - ACS …, 2023 - ACS Publications
Humans rely increasingly on sensors to address grand challenges and to improve quality of
life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are …

Photoplethysmogram analysis and applications: an integrative review

J Park, HS Seok, SS Kim, H Shin - Frontiers in Physiology, 2022 - frontiersin.org
Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for
measuring the physiological state of an individual in daily life. This review aims to examine …

Deep PPG: Large-scale heart rate estimation with convolutional neural networks

A Reiss, I Indlekofer, P Schmidt, K Van Laerhoven - Sensors, 2019 - mdpi.com
Photoplethysmography (PPG)-based continuous heart rate monitoring is essential in a
number of domains, eg, for healthcare or fitness applications. Recently, methods based on …

Heart rate estimation from wrist-worn photoplethysmography: A review

D Biswas, N Simões-Capela, C Van Hoof… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Photoplethysmography (PPG) is a low-cost, non-invasive, and optical technique used to
detect blood volume changes in the microvascular tissue bed, measured from the skin …

Adaptive extreme edge computing for wearable devices

E Covi, E Donati, X Liang, D Kappel… - Frontiers in …, 2021 - frontiersin.org
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

PP-Net: A deep learning framework for PPG-based blood pressure and heart rate estimation

M Panwar, A Gautam, D Biswas… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
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 …

Challenges and opportunities of biometric user authentication in the age of iot: A survey

CW Lien, S Vhaduri - ACM Computing Surveys, 2023 - dl.acm.org
While the Internet of Things (IoT) devices, such as smartwatches, provide a range of services
from managing financial transactions to monitoring smart homes, these devices often lead to …

The current state of optical sensors in medical wearables

E Vavrinsky, NE Esfahani, M Hausner, A Kuzma… - Biosensors, 2022 - mdpi.com
Optical sensors play an increasingly important role in the development of medical diagnostic
devices. They can be very widely used to measure the physiology of the human body …

A review of deep learning-based contactless heart rate measurement methods

A Ni, A Azarang, N Kehtarnavaz - Sensors, 2021 - mdpi.com
The interest in contactless or remote heart rate measurement has been steadily growing in
healthcare and sports applications. Contactless methods involve the utilization of a video …

A predictive analysis of heart rates using machine learning techniques

M Oyeleye, T Chen, S Titarenko… - International Journal of …, 2022 - mdpi.com
Heart disease, caused by low heart rate, is one of the most significant causes of mortality in
the world today. Therefore, it is critical to monitor heart health by identifying the deviation in …