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An innovative peak detection algorithm for photoplethysmography signals: an adaptive segmentation method
(2016)
The purpose of this paper is twofold. The first purpose is to detect M-peaks from raw photoplethysmography (PPG) signals with no preprocessing method applied to the signals. The second purpose is to estimate heart rate ...
Towards wearable blood pressure measurement systems from biosignals: a review
(2019)
Blood pressure is the pressure by the blood to the vein wall. High blood pressure, which is called silent death, is the cause of nearly 13% of mortality all over the world. Blood pressure is not only measured in the medical ...
Usage of output-dependent data scaling in modeling and prediction of air pollution daily concentration values (PM10) in the city of Konya
(Springer London Ltd, 2012)
This paper presents the combination of a data preprocessing called output-dependent data scaling (ODDS) and adaptive network-based fuzzy inference system (ANFIS) to predict the air pollution daily levels including particulate ...
Application of the output dependent feature scaling in modeling and prediction of performance of counter flow vortex tube having various nozzles numbers at different inlet pressures of air, oxygen, nitrogen and argon
(Elsevier Sci Ltd, 2011)
In this study, the performance of the counter flow type vortex tube with the input parameters including the nozzle number (N), the densities of inlet gases (air, oxygen, nitrogen, and argon) and the inlet pressure (P-inlet) ...
Non-invasive prediction of hemoglobin level using machine learning techniques with the PPG signal's characteristics features
(Elsevier, 2015)
Hemoglobin can be measured normally after the analysis of the blood sample taken from the body and this measurement is named as invasive. Hemoglobin must continuously be measured to control the disease and its progression ...
A new feature constituting approach to detection of vocal fold pathology
(Taylor & Francis Ltd, 2014)
In the last two decades, non-invasive methods through acoustic analysis of voice signal have been proved to be excellent and reliable tool to diagnose vocal fold pathologies. This paper proposes a new feature vector based ...
Investigation of Effects of Time Domain Features of the Photoplethysmography (PPG) Signal on Sleep Respiratory Arrests
(Ieee, 2015)
Obstructive Sleep Apnea Syndrome is one of the major diseases of our century. Diagnosis of this disease is very difficult. The reason of the difficulty is the complexity of the system. AHI index is calculated for the ...
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques
(Springer, 2017)
Obstructive sleep apnea is a syndrome which is characterized by the decrease in air flow or respiratory arrest depending on upper respiratory tract obstructions recurring during sleep and often observed with the decrease ...
Alternatively New Signal for Sleep Staging Processing in Patients with Obstructive Sleep Apnea: Photoplethysmography Signal
(Ieee, 2016)
Diagnosis of Obstructive Sleep Apnea is done by expert doctors by examining biological signals which is obtain from the patient help of polysomnography device. Review, consists of two stages which are sleep staging and ...
Tolerance rough set firefly-based quick reduct
(Springer London Ltd, 2017)
In medical information system, there are a lot of features and the relationship among elements is solid. In this way, feature selection of medical datasets gets awesome worry as of late. In this article, tolerance rough ...
