Measuring biosignals with single circuit boards
G Ehrmann, T Blachowicz, SV Homburg, A Ehrmann - Bioengineering, 2022 - mdpi.com
To measure biosignals constantly, using textile-integrated or even textile-based electrodes
and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes …
and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes …
IoT-Based Wearable and Smart Health Device Solutions for Capnography: Analysis and Perspectives
DFT Morais, G Fernandes Jr, GD Lima… - Electronics, 2023 - mdpi.com
The potential of the Internet of Health Things (IoHT), also identified in the literature as the
Internet of Medical Things (IoMT), is enormous, since it can generate expressive impacts on …
Internet of Medical Things (IoMT), is enormous, since it can generate expressive impacts on …
An effective machine learning approach for classifying artefact-free and distorted capnogram segments using simple time-domain features
Capnogram signal analysis has received considerable attention owing to its important
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
[HTML][HTML] Accelerating the Diagnosis of Pandemic Infection Based on Rapid Sampling Algorithm for Fast-Response Breath Gas Analyzers
A Prokopiuk, J Wojtas - Sensors, 2024 - mdpi.com
This paper presents a novel technique for extracting the alveolar part of human breath. Gas
exchange occurs between blood and inhaled air in the alveoli, which is helpful in medical …
exchange occurs between blood and inhaled air in the alveoli, which is helpful in medical …
Cooperative classification of clean and deformed capnogram segments using a voting approach: A trade-off between specificity and sensitivity
Automatic discrimination of clean and deformed segments of capnogram signals is an
essential requisite in capnogram-based respiratory assessment. However, improving the …
essential requisite in capnogram-based respiratory assessment. However, improving the …
[PDF][PDF] An Effective Machine Learning Approach for Classifying Artefact-Free and Distorted Capnogram Segments Using Simple Time-Domain
OMP SINGH - academia.edu
Capnogram signal analysis has received considerable attention owing to its important
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
Asthma Monitoring Systems Based on Electro-Infrared Sensors: A Review
AQ Al-Neami, ZA Abed - Journal Browser, 2022 - jenrs.com
Asthma is one of the chronic diseases that affected on the respiratory system. Studies had
showed that more than 350 million people who suffering from asthma around the world …
showed that more than 350 million people who suffering from asthma around the world …