Intelligent wearable systems: Opportunities and challenges in health and sports
Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …
personalized real-time data and continuously monitor an individual's health status and …
[HTML][HTML] Methods for the metrological characterization of wearable devices for the measurement of physiological signals: state of the art and future challenges
Wearable devices are rapidly spreading in many different application fields and with diverse
measurement accuracy targets. However, data on their metrological characterization are …
measurement accuracy targets. However, data on their metrological characterization are …
Application of machine learning in optical fiber sensors
Y Zhou, Y Zhang, Q Yu, L Ren, Q Liu, Y Zhao - Measurement, 2024 - Elsevier
In recent years, with the increasing demand for intelligent society, intelligent photonics has
developed rapidly. Machine learning (ML), as a subset of artificial intelligence (AI), has …
developed rapidly. Machine learning (ML), as a subset of artificial intelligence (AI), has …
Meta-learning in healthcare: A survey
As a subset of machine learning, meta-learning, or learning to learn, aims at improving the
model's capabilities by employing prior knowledge and experience. A meta-learning …
model's capabilities by employing prior knowledge and experience. A meta-learning …
Meta-Learning for Boosting the Sensing Quality and Utility of FSO-Based Multi-Channel FBG Sensor System
In this article, we propose a novel meta-learning approach for improving the sensing quality
of free space optics (FSO)-based multichannel fiber Bragg grating (FBG) sensor systems …
of free space optics (FSO)-based multichannel fiber Bragg grating (FBG) sensor systems …
Explainable AI based wearable electronic optical data analysis with quantum photonics and quadrature amplitude neural computing
The electrocardiogram, electroencephalogram, blood pressure, temperature, etc. are only
some of the physiological signals that may be monitored using a variety of innovative …
some of the physiological signals that may be monitored using a variety of innovative …
Advances in Fiber-Based Wearable Sensors with Machine Learning
Fiber sensors, with their high sensitivity and flexibility, have contributed to the integration of
wearable technologies into everyday clothing, enabling both comfortability and efficient data …
wearable technologies into everyday clothing, enabling both comfortability and efficient data …
Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography
Y Zhong, A Jatav, K Afrin, T Shivaram… - Artificial Intelligence in …, 2023 - Elsevier
Reflectance-based photoplethysmogram (PPG) sensors provide flexible options of
measuring sites for blood oxygen saturation (SpO 2) measurement. But they are mostly …
measuring sites for blood oxygen saturation (SpO 2) measurement. But they are mostly …
Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures
M Pulcinelli, F D'Antoni, DL Presti… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: Loss of resistance (LOR) is a widely accepted method for performing epidural
punctures in clinical settings. However, the risk of failure associated with LOR is still high …
punctures in clinical settings. However, the risk of failure associated with LOR is still high …
On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory conditions
This research introduces an innovative method for the early screening of cardiorespiratory
diseases based on an acquisition protocol, which leverages commodity smartphone's …
diseases based on an acquisition protocol, which leverages commodity smartphone's …