Intravenous Fluid Monitoring System Using IoT

Author(s):  
K. Sangeetha ◽  
P. Vishnuraja ◽  
S. Dinesh ◽  
V. S. Gokul Anandh ◽  
K. Hariprakash
Author(s):  
Harsha Chauhan ◽  
Vishal Verma ◽  
Deepali Gupta ◽  
Sheifali Gupta

2018 ◽  
Vol 7 (2) ◽  
pp. 20-26
Author(s):  
Citra Kusuma Wardani

Giving intravenous fluids is very useful to support and accelerate the recovery of the patient's condition during the healing period. Problems in handling can have a negative impact on patients who are currently monitoring intravenous fluids using a manual system. To reduce the adverse effects on patients is to design an arduino-based intravenous fluid monitoring tool. The design of this tool is a way of monitoring that can be done at a distance. This tool aims to provide a warning when the intravenous fluid will run out (Â ± 100 ml) using a weight sensor, detect the drip stop using the ldr sensor and detect the intravenous entering the infusion tube using a photodiode. The value obtained from a sensor will be received by Arduino NodeMCU . Then Arduino will send the value which goes to the database then from the database it will enter the web monitoring. Where the web monitoring is in the nurse's room which monitors intravenous fluids remotely. The data from the heavy sensor has 95% accuracy because the data obtained is not affected by conditions from outside the sensor, while the photodiode and LDR data have 90% accuracy because these two sensors are light sensors that can be affected by light from outside.


Author(s):  
Nazida Ansari ◽  
Mohammad Shahid Husaini ◽  
Vadthya Bheemdu

The Projects aims to Present a real time Monitoring System which will be used to monitor the Intravenous Fluid remaining in the IV fluid bottle and to provide with an indication such that a timely alarm or an indication can be generated which will then be attended by the hospital staff. The need of the project arises from the fact that often times due to negligence or the absence of required staff, the needs of the patient is overlooked which not only result in discomfort but also can cause infection and even blood backflow. The project utilizes XKC Y-26 N-P-N sensor to detect the overall level of the fluid left in the bottle and if it is found that the level has gone below certain stipulated level an alarm system gives indication to the nursing station. The project also combines the temperature and heart sensors as it is vital to monitor the two important parameters, then with assistance from Excel data streamer Module the data is sent to excel sheet so that it can be displayed in an interactive model. The project has the potential to be used in hospitals which will be beneficial given the adverse Covid related scenario and the entire setup can be used to detect not only the IV fluid level but also any other fluid and sensor that is given to the patient.


Author(s):  
Susanne Roesner ◽  
Heinrich Küfner
Keyword(s):  

<span class="fett">Hintergrund und Zielsetzung:</span> PHAR-MON ist ein Monitoring-System, das die auf dem deutschen Markt befindlichen Arzneimittel in ihrer Bedeutung für die Entwicklung von Missbrauch und Abhängigkeit in Suchtberatungsstellen überwacht. </p><p> <span class="fett">Methodik:</span> Klienten ambulanter Beratungsstellen werden im Rahmen der Standarddokumentation zu ihrem Arzneimittelkonsum befragt und Fälle eines abhängigen Konsums, eines schädlichen Gebrauchs oder eines Missbrauchs in PHAR-MON dokumentiert. </p><p> <span class="fett">Ergebnisse:</span> Im Jahr 2006 wurden insgesamt 448 Meldungen von 276 überwiegend alkohol- und drogenabhängigen Klienten in das Monitoring einbezogen. Tranquilizer vom Benzodiazepin-Typ wurden in allen Klientengruppen mit Anteilen zwischen 29,1 % und 35,3 % am häufigsten dokumentiert. An benzodiazepinabhängige Klienten werden zunehmend auch Nicht-Benzodiazepin-Hypnotika verordnet. Bei opioidabhängigen Klienten war im Zeitraum der letzten fünf Jahre ein Anstieg im missbräuchlichen Substitutionsmittelkonsum von 14,9 % auf 33,8 % zu verzeichnen. </p><p> <span class="fett">Schlussfolgerungen:</span> Das Risiko gefährlicher Wechselwirkungen zwischen Arzneimitteln mit Alkohol und Drogen sollte stärker als bisher in die ärztliche Verordnungsentscheidung einbezogen werden.


2012 ◽  
Author(s):  
Yiyun Peng ◽  
Mahtab Ghazizadeh ◽  
Linda Ng Boyle ◽  
John D. Lee

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