Smart Soldier Health Monitoring System Incorporating Embedded Electronics

Teja, K. Surya; Patel, Umang; Patel, Parthkumar; Agrawal, Yash; Parekh, Rutu

doi:10.1007/978-981-15-6229-7_18

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…A small chip named AD8232 analyzes the pumping stroke of heart muscles, which results in ECG (Electrocardiogram) [ 80 , 82 ]. ECG analyzes heart signals, irrespective of the body state of the person under examination [ 71 , 79 ], whereas MAX 30105 is an integrated optical sensor with 2 LEDs in a single photodetector, processing low noise analog signals in combination with Ardunio to monitor the heart rate between 1.8 V and 3.3 V [ 71 , 79 , 81 ]. ADXL335 is a body position sensor used to check the proper shoulder position to prevent various complications, such as pain, swelling, respiratory problems, etc.…”

Section: Health Domain and Its Applicationmentioning

confidence: 99%

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Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress

Srivastava

Routray

Ahmad

et al. 2022

Computational Intelligence and Neuroscience

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Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which is exponentially gaining researchers’ attention with every passing day because of its wide applicability in Smart Healthcare systems (SHS). Because of the current pandemic situation, it is highly risky for an individual to visit the doctor for every small problem. Hence, using IoMT devices, we can easily monitor our day-to-day health records, and thereby initial precautions can be taken on our own. IoMT is playing a crucial role within the healthcare industry to increase the accuracy, reliability, and productivity of electronic devices. This research work provides an overview of IoMT with emphasis on various enabling techniques used in smart healthcare systems (SHS), such as radio frequency identification (RFID), artificial intelligence (AI), and blockchain. We are providing a comparative analysis of various IoMT architectures proposed by several researchers. Also, we have defined various health domains of IoMT, including the analysis of different sensors with their application environment, merits, and demerits. In addition, we have figured out key protocol design challenges, which are to be considered during the implementation of an IoMT network-based smart healthcare system. Considering these challenges, we prepared a comparative study for different data collection techniques that can be used to maintain the accuracy of collected data. In addition, this research work also provides a comprehensive study for maintaining the energy efficiency of an AI-based IoMT framework based on various parameters, such as the amount of energy consumed, packet delivery ratio, battery lifetime, quality of service, power drain, network throughput, delay, and transmission rate. Finally, we have provided different correlation equations for finding the accuracy and efficiency within the IoMT-based healthcare system using artificial intelligence. We have compared different data collection algorithms graphically based on their accuracy and error rate. Similarly, different energy efficiency algorithms are also graphically compared based on their energy consumption and packet loss percentage. We have analyzed our references used in this study, which are graphically represented based on their distribution of publication year and publication avenue.

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Section: Health Domain and Its Applicationmentioning

confidence: 99%

“…It is used for measuring environmental conditions. LEDs in a single photo detector processes low noise analog signal in combination with Ardunio to monitor heart rate in between 1.8 V and 3.3 V[71,79,81].…”

mentioning

confidence: 99%

Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress

Srivastava

Routray

Ahmad

et al. 2022

Computational Intelligence and Neuroscience

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Soldier Health and Position Tracking System

Dr. Basavaraj G Kudamble,

G Naveena,

G Naveena

et al. 2024

Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol

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The Soldier Health and Position Tracking System (SHRYS) is an integrated technological solution designed to address the multifaceted challenges associated with monitoring and ensuring the well-being of military personnel in dynamic and unpredictable operational environments. This system amalgamates state-of-the-art wearable devices, GPS technology, and health monitoring sensors to provide comprehensive real-time insights into soldiers' physical conditions and locations. The wearable devices continuously collect vital health metrics such as heart rate, body temperature, and activity levels, fostering a proactive approach to healthcare management. Simultaneously, the GPS technology enables precise and continuous tracking of soldiers' positions on the battlefield. The collected data is then transmitted to a centralized monitoring system, where advanced analytics and machine learning algorithms assess soldiers' health trends, detect anomalies, and facilitate timely medical interventions. The SHPTS aims to enhance the overall situational awareness of military commanders, optimize resource allocation, and ultimately ensure the optimal health and safety of soldiers deployed in challenging and high-risk scenarios. This innovative system stands at the forefront of leveraging technology to safeguard the well-being and operational effectiveness of military personnel.

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Smart Soldier Health Monitoring System Incorporating Embedded Electronics

Cited by 2 publications

References 5 publications

Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress

Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress

Soldier Health and Position Tracking System

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