Albano, Laila B. Baking, Pamela Nicole M. Castillo, Franchesca Nicole A. Sarita, Andrew Miguel P. Sarmiento, Jimuel Ace R. 4 0
ResQBand: a medical wristband with AI-Enhanced monitoring for emergency response. 6
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Undergraduate Thesis : (Bachelor of Science in Computer Engineering ) - Pamantasan ng Lungsod ng Maynila, 2024.
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ABSTRACT: STATEMENT OF THE PROBLEM: The aim of this research project is to evaluate the effects of the ResQBand, a medical wristband integrated with artificial intelligence (AI) technology, on the assessment of patient health, emergency response, and monotring. The study has focused on health indicators including heart rate, oxygen levels, and temperature. The primary aim of this study was to determine the potential benefits of utilizing the ResQBand in mitigating the occureence of unattended medical emergencies. The research questions that guide this study are as follows: 1. How accurate is the ResQBand in detecting vital signs compared to the conventional equipment used in hospital settings? 2. How accurate is the ResQBand in forecasting future vital signs? 3. Based on the results of the survey, does the proposed ResQBand propject demonstrate acceptable levels of functional security and usefulness? 4. How reliable is the ResQBand system in detecting abnormal vital signs or emergency situations, initiating alert messages, and activating the emergency button? RESEARCH METHODOLOGY: This study assessed the ResQBand device's accuracy, usefulness, and reliability in monitoring vital signs and detecting emergencies. It used paired-sample, descriptive, and survey research designs to gather data from individuals that currently reside in Manila. A total of 60 samples were gathered, with 15 participants each for the four defined age range. The paired-sample design was used to facilitate the comparison of the ResQBand with existing devices, which was measured using Paired Samples t-test. In addition to this, the accuracy of ResQBand's model in forecasting values in comparison with actual recordings was also assessed using Root Mean Square Error (RMSE) and Mean Square Error (MSE). On the other hand, the descriptive design was evident in the utilization of Likert Scale survey questionnaires which aim to assess how the participants evaluate the ResQBand device across multiple parameters, which includes its usefulness, effect on psychological well-being, and security. This also includes the ability of the device to initiate successful emergency calls and send alert messages, which was evaluated using the Mean Absolute Percentage Error (MAPE). Hence, the research aimed to determine if ResQBand is a viable alternative to standard hospital devices. The study also evaluated the effectiveness of ResQBand's alert system in communicating vital signs to family membvers and healthcare providers. SUMMARY FINDINGS: The study assessed three main aspects of the ResQBand device's performance. First, it evaluated its accuracy in detecting vital signs compared to the XI805 Fingertip Pulse Oximeter and the KWL-401 Infrared Thermometer, concluding that there is not enough evidence to state that the values obtained from the ResQBand and these conventional devices are significantly different at the 0.05 level of significance, indicating its accuracy across heart rate, blood oxygen saturation, and body temperature measurements. Also, it examined the device's perceived usefulness, impact on psychological well-being, and security through survey responses, revealing that participants strongly agreed on its functionality, positive effect on peace of mind, and assurance of health monitoring and data protection. Lastly, it analyzed the reliability of the ResQBand in detecting abnormal vital signs and emergencies, finding a 100% accuracy rate in sending alert notifications via SMS and initiating emergency calls when the participant is identified as Critical, indicating its reliability in these types of situations. Overall, the findings suggest that trhe ResQBand performs effectively in detecting vital signs, positively impacting users well-being, and reliably responding to emergency situations. CONCLUSIONS: The study aimed to create a wearable wristband capable of monitoring vital signs, such as heart rate, blood oxygen saturation, and body temperature. Additionally, it sought to alert loved ones and emergency services in case of sudden medical emergencies by sending SMS notifications and initiating emergency calls. Existing wearables lacked these capabilities, posing a challenge for real-time monitoring and emergency response.The research addressed this gap by developing a wearable that accurately detected vital signs and effectively communicated health status to emergency contacts. Individuals residing in Manila, recognized the device's accuracy, security, and reliability, confirming its efficiency in enhancing patient care through timely detection and response to medical emergencies. Overall, the study demonstrated the significance of technological interventions in improving healthcare management, emphasizing the role of wearable devices in facilitating proactive and responsive patient care. RECOMMENDATIONS: There were several recommendations generated with the use of the study's findings. First, they should consider using medical wearables for efficient vital sign monitoring, as abrupt changes in vital signs can lead to deterioration without immediate medical attention. In line with this, the researchers also encourage families or people who use the device to also consider these wearables, particularly those with SMS messaging and emergency call functions, along with GPS functionality for tracking wearers whereabouts during sudden medical crises. Moreover, it is also proposed that healthcare professionals should highly promote the utilization of health wearables to their patients duie to their accuracy in vital sign monitoring and their ability to facilitate real-time tracking and communication. It is also recommended that developers of wearables enhance existing devices by adding features like emergency call initiation and SMS alerts for critical conditions. Lastly, the proponents also encourage future researchers to continue advancing medical device technologies, suggesting the integration of additional sensors and modules, along with modern technologies like Machine Learning and the Internet Thinbgs, to improve device capabilities and patient care. They also recommend the development of custom boards of wearables to enhance comfort and usability.