This research introduces a novel approach using cyber physical systems (CPS) to offer timely interventions for those susceptible to heart attacks. Capitalizing on the advancements in micro electro mechanical systems (MEMS), a cost-effective, compact wireless system is proposed. This system continuously tracks the patient's ECG, relaying data to a control mechanism via a wearable wireless gadget. If the system identifies any cardiac irregularities, it activates a built-in response feature and simultaneously sends an alert to the caregiver's mobile. The integration of energy efficient Zigbee technology ensures a dependable and efficient communication pathway, aiming to enhance cardiac treatment outcomes and reduce associated mortality rates.
TopIntroduction
Heart attacks are one of the leading causes of death worldwide, with an estimated 17.9 million deaths each year (Josphineleela, Kaliapp, et al., 2023). Early detection and treatment of heart attacks is crucial for reducing the mortality rate and improving patient outcomes (Natrayan & Kaliappan, 2023). Traditional methods for detecting heart attacks involve monitoring patients in a hospital setting, which can be costly and time-consuming. With the advancement of technology, it is now possible to use a Cyber Physical System (CPS) method for heart attack recognition and regulator by means of wireless nursing and propulsion systems (Kaliappan, Natrayan, & Garg, 2023). A CPS is a system that integrates physical and cyber elements, such as sensors, actuators, and computational elements, to provide control and monitoring capabilities (Kaliappan, Natrayan, & Rajput, 2023). In the context of heart attack detection and control, a CPS system would involve the use of wireless sensors to monitor vital signs, such as heart rate and blood pressure, and actuators to administer treatment in the event of a heart attack.
Recent studies have shown that a CPS approach can be effectively used for heart attack detection and control . For example, a study demonstrated the use of a wireless sensor network to monitor vital signs and provide early detection of heart attacks. The study found that the system was able to accurately detect heart attacks with a sensitivity of 98% and a specificity of 90% (Natrayan et al., 2023).
Another study proposed a CPS approach that uses wearable sensors to monitor vital signs and a mobile phone to send alerts in the event of a heart attack (Suman et al., 2023). The study found that the system was able to accurately detect heart attacks with a sensitivity of 95% and a specificity of 98%. Additionally, proposed a CPS approach that uses wireless sensors to monitor vital signs and actuators to administer treatment (Josphineleela, Kaliappan, et al., 2023). The study found that the system was able to significantly reduce the mortality rate in heart attack patients (Selvi et al., 2023).
These studies demonstrate the potential of a CPS method for heart occurrence uncovering and control. By using wireless sensors to monitor vital signs and actuators to administer treatment, a CPS system can provide early detection and rapid response in the event of a heart attack (Lakshmaiya et al., 2023). However, further research is needed to improve the accuracy of the system and to evaluate its effectiveness in a real-world setting.
Additionally, research has also been done on the integration of machine learning techniques in CPS systems for heart attack detection and control. Neural network to analyze the data collected by wireless sensors and improve the accuracy of heart attack detection (Kanimozhi et al., 2022). The study found that the system was able to achieve an accuracy of 98.5%, significantly higher than traditional methods. Another study used a decision tree algorithm to analyze the data collected by wearable sensors and improve the accuracy of heart attack detection (Balamurugan et al., 2023). The study found that the system was able to achieve an accuracy of 96%, comparable to traditional methods. These studies suggest that the integration of machine learning techniques in CPS systems for heart attack detection and control can improve the accuracy of the system and provide more accurate and timely alerts in the event of a heart attack (Angalaeswari et al., 2022).