A Wearable Multiparameter Medical Monitoring and Alert System with First Aid

Manimaraboopathy, M.; Vijayalakshmi, S.; Hemavathy, D.; Priya, Anu

doi:10.21307/ijssis-2017-262

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…Our research discovered a publication on E-Cardiology that dealt with cardiac patients’ BP. In 2017 [ 29 ], a digital BP monitor (OMRONHBP1300) was used to monitor and automatically detect cardiac arrhythmia. The paper published in 2019 [ 30 ] examined predicting cardiac ailments in E-Cardiology using ECG, cholesterol, and BP.…”

Section: Discussionmentioning

confidence: 99%

E-Cardiac Care: A Comprehensive Systematic Literature Review

Umar

Nayab

Irfan

et al. 2022

Sensors

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The Internet of Things (IoT) is a complete ecosystem encompassing various communication technologies, sensors, hardware, and software. IoT cutting-edge technologies and Artificial Intelligence (AI) have enhanced the traditional healthcare system considerably. The conventional healthcare system faces many challenges, including avoidable long wait times, high costs, a conventional method of payment, unnecessary long travel to medical centers, and mandatory periodic doctor visits. A Smart healthcare system, Internet of Things (IoT), and AI are arguably the best-suited tailor-made solutions for all the flaws related to traditional healthcare systems. The primary goal of this study is to determine the impact of IoT, AI, various communication technologies, sensor networks, and disease detection/diagnosis in Cardiac healthcare through a systematic analysis of scholarly articles. Hence, a total of 104 fundamental studies are analyzed for the research questions purposefully defined for this systematic study. The review results show that deep learning emerges as a promising technology along with the combination of IoT in the domain of E-Cardiac care with enhanced accuracy and real-time clinical monitoring. This study also pins down the key benefits and significant challenges for E-Cardiology in the domains of IoT and AI. It further identifies the gaps and future research directions related to E-Cardiology, monitoring various Cardiac parameters, and diagnosis patterns.

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Section: Discussionmentioning

confidence: 99%

E-Cardiac Care: A Comprehensive Systematic Literature Review

Umar

Nayab

Irfan

et al. 2022

Sensors

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“…In Fig. 4, we assume that its data similarityis less than 0.3, and then through analysis,three different paths and the corresponding shortest and longesttime S can be obtained, as shown below: If β ≥ 1, F = (T 0 , T 1 , T 2 , T 6 , T 8 , T 9 , T 10 ), S = [8,16]; If β < 1 and α ≥ 1, F = (T 0 , T 1 , T 2 , T 6 , T 8 , T 9 , T 10 ), S = [11,21]; If α < 1 β < 1 and γ ≥ 1, F = (T 0 , T 1 , T 2 , T 6 , T 8 , T 9 , T 10 ), S = [14,24]; Here, we assume that the resources of the threehospitals are α, β and γ , respectively, and then select an optimalscheduling strategy by analyzing the number of resources indifferent situations.…”

Section: Discussionmentioning

confidence: 99%

Modeling and Analysis of First Aid Command and Dispatching System of Cloud Medical System

Jia

Zhai

et al. 2019

IEEE Access

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Nowadays, with the phenomenon of the world ageing getting serious, the demand for intelligent medical treatment becomes higher than past. A series of smart bracelets have been launched for the health of the elderly, which can detect the health condition of the elderly in real-time. When an abnormal phenomenon occurs and the rescue will be needed, it can transmit the signal to the medical platform of the hospital or the mobile phone of its guardian, and then the hospital would send an ambulance and relevant doctors to rescue the patient. This paper mainly studies the starting bracelet sensors to collect data to rescue behavior of the entire process, proposes a Petri net model of distributed resource allocation based on cloud medical system. Through the structural analysis of the model and the construction of the algorithm, the rationality and efficiency of the whole system model are verified, and the case study shows that the model can effectively find the optimal scheduling path and each part of the system can respond well.

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“…Miniaturized sensors attached or worn on the user's body, along with ambient sensors, are a new generation of computers that can be tailored to tackle healthcare management challenges. Applications that have been developed include chronic and non-communicable disease monitoring [1][2][3][4][5][6][7], fall monitoring [8][9][10], emergency care management [11][12][13], rehabilitation [14][15][16][17], fitness and lifestyle tracking [18,19], and sport performance monitoring [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Light-Weight Symmetric Encryption Algorithm for Secure Data Transmission via BLE Beacons

Banani

Thiemjarus

Wongthavarawat

et al. 2021

JSAN

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Pervasive sensing with Body Sensor Networks (BSNs) is a promising technology for continuous health monitoring. Since the sensor nodes are resource-limited, on-node processing and advertisement of digested information via BLE beacon is a promising technique that can enable a node gateway to communicate with more sensor nodes and extend the sensor node’s lifetime before requiring recharging. This study proposes a Dynamic Light-weight Symmetric (DLS) encryption algorithm designed and developed to address the challenges in data protection and real-time secure data transmission via message advertisement. The algorithm uses a unique temporal encryption key to encrypt each transmitting packet with a simple function such as XOR. With small additional overhead on computational resources, DLS can significantly enhance security over existing baseline encryption algorithms. To evaluate its performance, the algorithm was utilized on beacon data encryption over advertising channels. The experiments demonstrated the use of the DLS encryption algorithm on top of various light-weight symmetric encryption algorithms (i.e., TEA, XTEA, PRESENT) and a MD5 hash function. The experimental results show that DLS can achieve acceptable results for avalanche effect, key sensitivity, and randomness in ciphertexts with a marginal increase in the resource usage. The proposed DLS encryption algorithm is suitable for implementation at the application layer, is light and energy efficient, reduces/removes the need for secret key exchange between sensor nodes and the server, is applicable to dynamic message size, and also protects against attacks such as known plaintext attack, brute-force attack, replaying attack, and differential attack.

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A Wearable Multiparameter Medical Monitoring and Alert System with First Aid

Cited by 6 publications

References 18 publications

E-Cardiac Care: A Comprehensive Systematic Literature Review

E-Cardiac Care: A Comprehensive Systematic Literature Review

Modeling and Analysis of First Aid Command and Dispatching System of Cloud Medical System

A Dynamic Light-Weight Symmetric Encryption Algorithm for Secure Data Transmission via BLE Beacons

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