Prototype Development of Continuous Remote Monitoring of ICU Patients at Home

Veerabhadrappa, S. T.; Shivakumaraswamy, Puranik M.; Chickaramanna, Suguna G.; Iyengar, Venkatesha M.; Das, Anuroop P.; Sharma, Abhyudaya

doi:10.18280/i2m.200203

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…This simple and low-cost system would be beneficial for fulfilling the shortage of accurate and reliable physiological monitoring faced by hospitals in many remote and rural areas of Indonesia. The future incorporation of Internet of Things (IoT) technologies may be advantageous in increasing its capability with early warning capabilities as well as parallelly monitoring several patients in infectious disease wards or from their homes in order to minimise human involvement during its monitoring operation, as demanded during the last pandemic COVID-19 [23,24].…”

Section: Discussionmentioning

confidence: 99%

Performance Evaluation of the Webcam-Based Contactless Respiratory Rate Monitoring System

Nasution¹,

Ibrahim²,

Asani³

et al. 2022

I2M

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Continuous monitoring of the respiratory rate is necessary, particularly for patients stationed in the hospital's wards, to assure their physical conditions are medically controlled. We tested the developed webcam-based contactless respiratory rate monitoring system on twenty healthy volunteer human subjects (age 20-25 years old) who provided informed consent to participate in the research. Subjects are asked to breathe with the breath rate following the guiding flash lamps emitted from mobile phones at specific rates. Results show that the developed system is capable of measuring respiratory rate with an average error of 0-2% and with an average coefficient of variance (COV) of 0-5% among all subjects tested and for all ranges of respiratory rates investigated. These results are quite promising for further use of this system as an accurate and precise continuous respiratory rate monitoring system in clinical settings.

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Section: Discussionmentioning

confidence: 99%

Performance Evaluation of the Webcam-Based Contactless Respiratory Rate Monitoring System

Nasution¹,

Ibrahim²,

Asani³

et al. 2022

I2M

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“…However, the system could incontinently If any parameters cross their standard limit, send announcements to the emergency care unit and concerned interpreters. The paper [3] developed a prototype to continuously remote examine ICU cases from home. They aimed to cover the vital signs constantly and send an alert communication to the care takers to ensure timely treatment in case of any medical exigency.…”

Section: Literature Reviewmentioning

confidence: 99%

Iot and Fog Computing Integration in Healthcare Based the Smart Intensive Units

2023

IRJMETS

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The Internet of Things (IoT) has the power to transform medical procedures and improve measures of the state of the world's health. Because it cares for patients who have been in catastrophic accidents, have serious illnesses, or are receiving successful medical treatment, the Intensive Care Unit (ICU) is a crucial component of the medical industry. Due to a heavy workload, a lack of patient monitoring systems may result in medical errors. A smart IoT-based ICU patient monitoring system is suggested to help doctors and hospitals watch the patients continuously and make timely judgments in order to optimize the ICU monitoring process. The device can monitor a patient's body parameters in real-time, and if any numbers are abnormal, it will notify the doctor who has been assigned to the patient and the Emergency Care Unit. (ECU). Through the device, doctors may also keep an eye on the patient from a distance. The biggest challenge is sorting only contextual data related to patient health. It's impossible to have a simple sensor-to-cloud architecture, and that's where fog layers come into play. This not only reduces the amount of data sent back and forth between the cloud and the sensors, but also improves the efficiency of the entire system as it eliminates the risk of data-center failure. We are also reviewing the security and deployment of this fog computing layer.

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“…Technological advancements over the years have led to the integration of numerous Internet of Things (IoT) technologies, resulting in more advanced and sophisticated systems such as online monitoring [1][2][3][4] embedded hardware-software [5][6][7][8] and intelligent system [9][10][11]. As has been noted, the increasing prominence of these IoT technologies provides greater advantages to enhance the efficacy of conventional processes or approaches; as a result, these technologies have been extensively investigated and deployed in various sectors, including the food and agriculture industry, including bee farming.…”

Section: Introductionmentioning

confidence: 99%

Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees

Jani,

Hairuddin,

Ja’afar

et al. 2024

I2M

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The paper aims to develop a weight-sensing system and monitoring platform to track the activity patterns of a stingless bee colony using a weight-sensing system that consists of an Arduino Mega, a NodeMCU ESP8266, and load cell as weight sensors with a Real-Time Clock (RTC) module. The system was designed with an improved weight sensor that includes triangle or delta positioning and placement for greater stability on the log hive. It also featured real-time mobile monitoring via the Blynk application, which sends weight measurements continuously via Wi-Fi. It shows that the weight fluctuations indicate that the stingless bees are most active in their foraging activities between 9:00 and 13:00, with occasional activity between 21:00 and 22:00, gathering food sources to produce honey or beebread. Consequently, analysing the daily pattern of weight measurements using a correlation analysis throughout a week enable beekeepers to observe their diverse foraging patterns. These patterns can be strongly linked to the movements of active bees, human interference, or environmental errors when the correlation value approaches one. The findings of this research can assist beekeepers in understanding routine activities by observing the foraging patterns of stingless bees, which could reveal valuable insights regarding bee health and honey production levels and help detect a decline in the bee colony. This can be achieved by utilising Internet of Things (IoT) technology to enhance hive management practices.

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Prototype Development of Continuous Remote Monitoring of ICU Patients at Home

Cited by 6 publications

References 16 publications

Performance Evaluation of the Webcam-Based Contactless Respiratory Rate Monitoring System

Performance Evaluation of the Webcam-Based Contactless Respiratory Rate Monitoring System

Iot and Fog Computing Integration in Healthcare Based the Smart Intensive Units

Real-Time IoT-Blynk Application for Log Hive Weight Monitoring in Stingless Bees

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