Hypertension classification using machine learning part II

N Nasir, P Oswald, F Barneih… - … on Developments in …, 2021 - ieeexplore.ieee.org
High blood pressure (BP) or hypertension is a dangerous and deadly condition which can
lead to serious disorders and high risk of heart attacks, strokes or death. Therefore, studying …

Nose-to-Brain Drug Delivery and Physico-Chemical Properties of Nanosystems: Analysis and Correlation Studies of Data from Scientific Literature

A Bonaccorso, A Ortis, T Musumeci… - International Journal …, 2024 - Taylor & Francis
Background In the last few decades, nose-to-brain delivery has been investigated as an
alternative route to deliver molecules to the Central Nervous System (CNS), bypassing the …

Heart rate monitoring using PPG with smartphone camera

AH Ayesha, D Qiao, F Zulkernine - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Methods of estimating heart rate without the use of sensor devices provides essential
benefits in both the medical field as well as the other computing applications. Smartphones …

Estimating Reservoir Sedimentation Using Machine Learning

AL Cox, D Meyer, A Botero-Acosta… - Journal of Hydrologic …, 2024 - ascelibrary.org
Several reservoirs across the United States are filling with sediment, which jeopardizes their
functionality and increases maintenance costs. USACE developed the Reservoir …

A vital-signs monitoring wristband with real-time In-Sensor data analysis using very low-hardware resources

Q Mascret, D Gurve, A Abdou, S Bhadra… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
We present a cost-effective multisensor wristband that monitors vital signs, including heart
rate (HR), respiratory rate, and oxygen saturation, with very low-hardware resources, while …

Integrating Regression Models and Climatological Data for Improved Precipitation Forecast in Southern India

J Subha, S Saudia - International Journal of Advanced …, 2023 - search.proquest.com
Abstract Modern technologies like Artificial Intelligence (AI) and Machine Learning (ML)
replicate intelligent human behavior and offer solutions in all domains, especially for human …

Identification of seizure from single channel EEG using Support Vector Machine & Hilbert Vibration Decomposition

AHMZ Karim, SS Bashar, MS Miah… - … IEEE Symposium on …, 2020 - ieeexplore.ieee.org
A well-known neurological brain dysfunction named epilepsy which is caused by
recrudescent seizures. Because of higher temporal resolution, brain activities measured by …

Implementation Of Machine Learning To Determine The Best Employees Using Random Forest Method

PT Prasetyaningrun, I Pratama, AY Chandra - IJCONSIST JOURNALS, 2021 - ijconsist.org
In the world of work the presence of the best employees becomes a benchmark of progress
of the company itself. In the determination usually by looking at the performance of the …

Application of Chrominance Based rPPG in Estimation of Heart Rate from Video Signal

AHMZ Karim, MS Miah, GRA Jamal… - … on Computer and …, 2021 - ieeexplore.ieee.org
In this research, we study the representation of remote photoplethysmography signals based
on a low-cost RGB camera. Photoplethysmography etymologically is a compound term …

Heart Rate Extraction from Photoplethysmography Signal: A Multi Model Machine Learning Approach

MS Miah, SS Bashar, AHMZ Karim… - 2020 IEEE 2nd …, 2020 - ieeexplore.ieee.org
The purpose of this research is to estimate the heart rate (HR) from wearable gadgets, for
example, fingertip gadgets. As the skin of finger-tip is slight, it is not difficult to separate pulse …