Analysis and Monitoring Application of Medical Data for Chronic Diseases in Elderly Living Alone Based on Wearable Medical Sensor Wristbands
DOI:
https://doi.org/10.54097/wf8re725Keywords:
Elderly Living Alone, Chronic Disease, Wearable Medical Sensor Wristbands, Medical Data Analysis, Monitoring ApplicationAbstract
This paper focuses on the analysis and monitoring application of medical data for chronic diseases in elderly individuals living alone using wearable medical sensor wristbands. It introduces the background, objectives, significance, content, and methods of the research. The development and application of wearable medical sensor wristbands and the status of chronic diseases in elderly living alone are discussed, highlighting existing research gaps. The section on the characteristics and needs analysis of chronic diseases in elderly living alone defines the term, analyzes common types and characteristics of chronic diseases, and examines the medical needs of such patients. The principles and technologies of wearable medical sensor wristbands are explained, covering working principles, common sensor technologies, and data collection and transmission technologies. The section on the collection and processing of medical data for chronic diseases in elderly living alone discusses data collection methods and steps, data processing and analysis methods, and data security and privacy protection. The design of a chronic disease medical monitoring system for elderly living alone based on wearable medical sensor wristbands is detailed, including system architecture and functional design, data visualization and report generation, and real-time monitoring and warning mechanisms. The experimental and results analysis section describes the experimental design and data collection methods, followed by an analysis and discussion of the results. In the summary and outlook section, the research work is summarized, existing problems and potential improvements are pointed out, and future developments are anticipated. This research provides new insights into the analysis and monitoring application of medical data for chronic diseases in elderly living alone using wearable medical sensor wristbands, offering a new approach to promoting health management and disease prevention for the elderly living alone.
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[1] Brown, E., & Green, F. (2023). Descriptive statistics in health research. Journal of Biostatistics, 30(1), 44-57.
[2] Brown, M., Lee, S., & Chen, X. (2023). Advances in the treatment of chronic obstructive pulmonary disease. Respiratory Medicine Review, 19(3), 156-172.
[3] Brown, M., Lee, Y., & Chen, R. (2023). Wearable devices for chronic disease management. Journal of Chronic Disease Care, 34(1), 45-59.
[4] Chen, L., Zhao, Y., & Wang, M. (2023). Visualization techniques for medical data analysis. Journal of Clinical Informatics, 21(1), 77-93.
[5] Chen, R., & Davis, L. (2024). The impact of wearable health technology on elderly care. Journal of Elderly Health, 19(1), 23-35.
[6] Chen, R., Liu, Y., & Davis, M. (2021). Technological advancements in wearable health devices. Journal of Medical Technology, 12(3), 145-158.
[7] Chen, R., Zhang, W., & Huang, Y. (2024). Remote Health Monitoring and Management for Elderly Living Alone. Elderly Care and Technology, 12(2), 203-216.
[8] Chen, X. (2019). Urbanization and the changing family structure in China. Population Research, 37(2), 45-60.
[9] Dierks, T., & Rescorla, E. (2008). The Transport Layer Security (TLS) Protocol Version 1.2. RFC 5246.
[10] Ferraiolo, D. F., Kuhn, D. R., & Chandramouli, R. (2001). Role-Based Access Control. Artech House.
[11] Gkoulalas-Divanis, A., & Loukides, G. (2011). Anonymization of Electronic Medical Records to Support Clinical Analysis. Springer.
[12] HIPAA (1996). Health Insurance Portability and Accountability Act. U.S. Department of Health and Human Services.
[13] Johnson, D., & Lee, H. (2022). Addressing data quality issues in chronic disease datasets. Journal of Data Science, 22(3), 245-260.
[14] Johnson, P., & Davis, R. (2022). The impact of chronic diseases on elderly health. Geriatric Medicine Journal, 27(5), 233-245.
[15] Johnson, P., Liu, H., & Wang, Y. (2023). Accelerometer-based wearables for physical activity tracking. Journal of Sports Science and Medicine, 39(3), 156-172.
[16] Lee, S., Chen, X., & Davis, R. (2022). Optical sensors for health monitoring: Advances and applications. Biomedical Engineering Journal, 28(4), 233-245.
[17] Lee, S., Chen, X., & Davis, R. (2023). Wireless communication for health monitoring: Bluetooth and Wi-Fi applications. Journal of Wireless Communications, 28(4), 233-245.
[18] Lee, Y., & Chen, R. (2024). The health challenges of elderly living alone. Journal of Elderly Care, 34(1), 45-59.
[19] Li, H., & Zhao, M. (2022). The Impact of Family Structure Changes on Elderly Health in China. International Journal of Aging and Society, 10(2), 45-58.
[20] Li, J., & Wang, P. (2021). Socioeconomic factors affecting the health of empty-nest elderly. Social Science & Medicine, 276, 113849.
[21] Li, J., Sun, Q., & Wang, H. (2024). Multimodal data collection for chronic disease management in elderly patients. Journal of Chronic Disease Care, 29(1), 45-59.
[22] Li, J., Wang, H., & Zhang, Y. (2022). A comprehensive approach to collecting health information from elderly patients. Journal of Geriatric Medicine, 15(2), 87-98.
[23] Liu, Y., Guo, Q., & Xu, L. (2022). Psychological wellbeing of empty-nest elderly: Challenges and interventions. Clinical Gerontologist, 45(1), 67-80.
[24] Miller, J., & Davis, K. (2024). Advanced statistical techniques for healthcare data analysis. Journal of Health Statistics, 19(4), 301-318.
[25] Smith, A., Brown, B., & Wang, C. (2021). Data cleaning techniques for healthcare data. Journal of Medical Informatics, 18(2), 102-115.
[26] Smith, A., & Jones, B. (2022). Wearable health technology for elderly care: A comprehensive review. Journal of Medical Systems, 46(5), 123-135.
[27] Smith, J., & Brown, K. (2021). Wearable sensors in healthcare: A comprehensive review. Journal of Medical Devices, 45(2), 101-115.
[28] Smith, J., Brown, L., & Johnson, K. (2022). Advances in Wearable Health Monitoring Devices for Elderly Care. Journal of Geriatric Technology, 15(3), 125-139.
[29] Stanton, J. M., Stam, K. R., Mastrangelo, P., & Jolton, J. (2005). Analysis of end user security behaviors. Computers & Security, 24(2), 124-133.
[30] Sun, Q., Wang, H., & Li, J. (2024). Data privacy and security in health informatics. Journal of Health Information Security, 13(2), 99-112.
[31] Wang, H., & Liu, X. (2023). Ensuring data quality in wearable health devices. Journal of Biomedical Informatics, 37(1), 56-67.
[32] Wang, Y., & Sun, Z. (2023). Wearable health technology for elderly care: Opportunities and challenges. Journal of Medical Systems, 47(1), 56.
[33] Wang, Y., Liu, Q., & Xu, Z. (2023). Chronic Disease Management in Aging Populations: Challenges and Technological Solutions. Healthcare Innovations, 18(1), 78-91.
[34] Whitman, M. E., & Mattord, H. J. (2011). Principles of Information Security. Cengage Learning.
[35] Zhang, M., Liu, Q., & Wang, Y. (2024). Machine learning approaches for health monitoring in elderly care. Journal of Biomedical Informatics, 115, 103678.
[36] Zhang, T., Li, X., & Wang, J. (2024). Emergency Response Systems for Elderly Living Alone: A Technological Perspective. Journal of Emergency Medicine and Technology, 9(1), 88-102.
[37] Zhang, Y., Chen, R., & Liu, X. (2022). Machine learning in chronic disease prediction. Journal of Health Informatics, 26(2), 167-183.
[38] Zhang, Y., Li, H., & Wang, X. (2020). The rising trend of empty-nest elderly in urban China. Journal of Aging Studies, 34(4), 123-134.
[39] Zhao, X., & Li, M. (2022). The role of wearable technology in elderly healthcare. Journal of Geriatric Medicine, 58(3), 120-130.
[40] Zhao, X., & Li, M. (2023). Advances in wearable ECG technology for cardiology. Journal of Geriatric Cardiology, 58(3), 120-130.
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