Essays about: "Patient monitoring systems"

Showing result 1 - 5 of 35 essays containing the words Patient monitoring systems.

  1. 1. Iot-based Saline Volume Monitoring and Alert System

    University essay from Blekinge Tekniska Högskola

    Author : Kotti Dinesh; Narendra Velpula; [2023]
    Keywords : IoT; MIT App Inventor; NodeMCU; Saline Monitoring; and ThingSpeak.;

    Abstract : This project presents a comprehensive study on the design and implementationof an Internet of Things (IoT)-based system for monitoring and alerting salinevolumes in healthcare environments.Background: In healthcare settings, the accurate monitoring of saline volumesin Intravenous (IV) drip systems is crucial for ensuring patient safety and effectivetreatment. READ MORE

  3. 2. Evaluation of intrafractional motion for patients receiving whole brain radiotherapy in open-faced immobilisation masks

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Sara Falk; [2023]
    Keywords : Medicine and Health Sciences;

    Abstract : Purpose/Background Patients receiving whole brain radiotherapy (WBRT) today are treated with an immobilisation mask which fully covers their face and therefore might be experienced as uncomfortable and claustrophobic. In recent years, optical surface scanning (OSS) systems have been implemented for patient positioning and real-time motion monitoring [1]. READ MORE

  4. 3. Artificial Electronic Nurse : An IoT Based Health Monitoring System

    University essay from Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskap

    Author : Prajna Bala Sai Potnuri; Sai Charan Poliki; [2022]
    Keywords : ESP32 Wroom dev kit; Fall detection; MAX30102; MPU6050.;

    Abstract : Context. Generally, health monitoring systems are used in hospitals, which are pricey and gigantic. But with the up gradation of sensors and modules, these devices are also available in portable sizes. These devices are divided into different types according to the disease. READ MORE

  5. 4. Neonatal Sepsis Detection Using Decision Tree Ensemble Methods: Random Forest and XGBoost

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Marwan Al-Bardaji; Nahir Danho; [2022]
    Keywords : Machine Learning; Sepsis; Neonatal Sepsis; Random Forest; XGBoost; Imbalanced Data; Binary Classification; Cross-Validation; Hyperparameter Tuning;

    Abstract : Neonatal sepsis is a potentially fatal medical conditiondue to an infection and is attributed to about 200 000annual deaths globally. With healthcare systems that are facingconstant challenges, there exists a potential for introducingmachine learning models as a diagnostic tool that can beautomatized within existing workflows and would not entail morework for healthcare personnel. READ MORE

  6. 5. Patient simulation. : Generation of a machine learning “inverse” digital twin.

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Paolo Calderaro; [2022]
    Keywords : Machine learning; Cardiovascular models; Multi-variate time series; Multitarget regression; Inverse modelling; Maskininlärning; kardiovaskuläramodeller; multivariatatidsserier; multi-target regression; invers modellering;

    Abstract : In the medtech industry models of the cardiiovascular systems and simulations are valuable tools for the development of new products ad therapies. The simulator Aplysia has been developed over several decade and is able to replicate a wide range of phenomena involved in the physiology and pathophysiology of breathing and circulation. READ MORE