scholarly journals Embedded Patient Monitoring System

Author(s):  
Jayanna Kanchikere ◽  
A.K. Ghosh ◽  
Kalyankumar Kalyankumar

<p>ICU remains for Intensive Care Unit, a place in the recuperating office where wiped out patients are checked eagerly. Commonly, the patient-staff extent is low and the LIFE-SAVING EQUIPMENT used is outstandingly bleeding edge Generally ICU is a healing facility for course of action of genuine nursing and remedial consideration of essentially wiped out patients, depicted by high bore and measure of unending nursing and restorative supervision and by use of cutting edge checking and resuscitative equipment The patients in the ICU require a predictable seeing of their Temperature and pulse circulatory strain. This undertaking is a working model, which wires sensors to evaluate imperative parameters specifically the Temperature, Respiratory temperature and Heart Beat. The sensors are interfaced to PC, with the objective that the condition of a patient can be explored by masters in any bit of the center wherever they are. At whatever point there is a variety from the standard felt by the patient, the particular patient will give an alert movement, by which the pro can race to the patient. Despite when the patient is in a careless condition, each one of the parameters will be identified and pro will be admonished, thusly it diminishes master's remaining task at hand and besides gives more correct results .Our endeavor is a working model which wires sensors to measure each one of these parameters like body temperature, Respiratory Temp and Heart Beat rate and trade it to the PC, with the objective that the patient condition can be examined to by authorities in any bit of the recuperating focus wherever they are. In this way it decreases experts work stack and besides gives more exact results, wherever there is a variety from the standard felt by the patient, we have in like manner combined saline watching system which gives an alert when the saline container going to cleanse.</p>

Author(s):  
M. Padmasree

Health monitoring is the fundamental issue in this day and age. Because of absence of amazing health monitoring, patient go through from genuine medical problems. There are great deals of IoT gadgets now days to uncover the health of impacted individual over web. Wellbeing specialists are moreover exploiting these splendid contraptions to look out for their patients. With heaps of new medical care innovation new companies, IoT is suddenly changing the medical services industries. Actually in this undertaking, we will make an IoT based patient checking System which reports the patient coronary heart beat rate and assemble temperature and besides transport an email/SMS alert each time these readings go past basic characteristics. Heartbeat charge and inward warmth level readings are recorded over ThingSpeak and Google sheets so that affected individual health can be seen from wherever in the world over through on the web. A furor will in like manner be related so that affected individual can crush it on emergency to send email/SMS to their relatives.


2020 ◽  
pp. 627-642
Author(s):  
Sindhu Suryanarayanan ◽  
Sreekala Manmadhan ◽  
N. Rakesh

Technology keeps evolving every second. Humans receive all the essential information with just one touch. Be it the weather forecast or ordering any grocery or communicating with one's peers, everything happens so easily and efficiently. It is undoubtedly user friendly. When the same technology associates itself with the medical equipment it becomes easier to fetch and process the patient's data in real time. It also helps to make several life-saving, spontaneous decisions for the critical care. This paper talks about the patient monitoring system. The physiological parameters of the patient are continuously monitored in real time using sensors. The data that is obtained from the sensor is then sent to an Arduino Uno microcontroller where it is analyzed. If the patient's data differs from the required threshold values, an emergency message is sent to the assigned doctor's mobile. This is done using the GSM module which is interfaced with the microcontroller. Verifying the system in software is done using Proteus.


2017 ◽  
Vol 19 (4) ◽  
pp. 22-36 ◽  
Author(s):  
Sindhu Suryanarayanan ◽  
Sreekala Manmadhan ◽  
N. Rakesh

Technology keeps evolving every second. Humans receive all the essential information with just one touch. Be it the weather forecast or ordering any grocery or communicating with one's peers, everything happens so easily and efficiently. It is undoubtedly user friendly. When the same technology associates itself with the medical equipment it becomes easier to fetch and process the patient's data in real time. It also helps to make several life-saving, spontaneous decisions for the critical care. This paper talks about the patient monitoring system. The physiological parameters of the patient are continuously monitored in real time using sensors. The data that is obtained from the sensor is then sent to an Arduino Uno microcontroller where it is analyzed. If the patient's data differs from the required threshold values, an emergency message is sent to the assigned doctor's mobile. This is done using the GSM module which is interfaced with the microcontroller. Verifying the system in software is done using Proteus.


The rules in the continuous improvement, Internet of Things (IOT) make every things consistent and hence been seen as the accompanying specific surprise. A part of the employments of Internet of Things are wise halting, splendid residence, insightful city, sharp condition, mechanical spots, cultivating fields and prosperity checking process. On such application be in social protection to screen the patient prosperity Internet of Things allows remedial technology dynamically proficient with allow consistent seeing of patient prosperity, for sensor get patient's data and decreases the human screw up. In Internet of Things patient's parameters get transmitted through helpful devices by methods for an entryway, where it is secured and separated. The immense test in the execution of Internet of Things for restorative administrations applications is checked like manner Internet of Things in the helpful field draws out the response for effective patient seeing at lessened cost and moreover diminishes between patient outcome and infirmity the officials. This paper involves watching patient's body temperature, breathe rate, heart beat and body improvement using Arduino UNO.


2020 ◽  
Author(s):  
Akira-Sebastian Poncette ◽  
Maximilian Markus Wunderlich ◽  
Claudia Spies ◽  
Patrick Heeren ◽  
Gerald Vorderwülbecke ◽  
...  

BACKGROUND As one of the most essential technical components of the intensive care unit (ICU), continuous monitoring of patients’ vital parameters has significantly improved patient safety by alerting staff through an alarm when a parameter deviates from the normal range. However, the vast amount of alarms regularly overwhelms staff, and induces alarm fatigue that endangers patients. OBJECTIVE This study focused on providing a complete and repeatable analysis of the alarm data of an ICU’s patient monitoring system. We aimed to develop do-it-yourself (DIY) instructions for technically versed ICU staff to analyse their monitoring data themselves, which is an essential element for developing efficient and effective alarm optimization strategies. METHODS This observational study was conducted using alarm log data extracted from the patient monitoring system of a 21-bed surgical ICU in 2019. DIY instructions were iteratively developed in informal interdisciplinary team meetings. The data analysis was grounded on a framework consisting of five dimensions, each with specific metrics: alarm load, ie, alarms per bed per day, alarm flood conditions, alarm per device and per criticality; avoidable alarms, ie, the amount of technical alarms; responsiveness and alarm handling, ie response time; sensing, ie, usage of the alarm pause function; and exposure, ie, alarms per room type. Results were visualized using the R package ggplot2 to provide detailed temporal insights into the ICU’s alarm situation. RESULTS We developed step by step DIY instructions for self-analysis of patient monitoring data, including the scripts for data preparation and analysis. The alarm load in the respective ICU was quantified by 152.5 alarms per bed per day on average (SD 42.2), and alarm flood conditions with on average 69.55 per day (SD 31.12) that both occurred mostly in the morning shifts. Most alarms were issued by the ventilator, invasive blood pressure device and electrocardiogram (ie, high and low blood pressure, high respiratory rate, low heart rate). In regard to avoidable alarms, technical alarms by the ECG were the most frequent (eg, lead fallen off). The median response time to alarms yielded 8s (range 0-600). The alarm pause function was applied 10.86 times per bed per day (SD 2.6), and in 91% (19,334/21,194) was not actively terminated, resulting in a proper pause to pause ratio of 0.09:1. The exposure to alarms per bed per day was higher in single rooms (26%, mean 172.9/137.2 alarms per day per bed). 69% of all alarms (2,199.9/3,202.4, SD 651.2) were on average issued by 7.6 of 21 beds per day (36%). CONCLUSIONS Analyzing ICU alarm log data provides valuable insights into the current alarm situation. Our results call for alarm management interventions that effectively reduce the number of alarms in order to ensure patient safety and ICU staff’s work satisfaction. We hope our DIY instructions encourage others to follow suit in analyzing and publishing their ICU alarm data. CLINICALTRIAL NCT04661735


NCICCNDA ◽  
2018 ◽  
Author(s):  
Manasa I R ◽  
Pallavi M ◽  
Priyanka S G ◽  
Suma B ◽  
Madhu M Nayak

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