Abstract
The use of cognitive assistants for elderly individuals can greatly benefit their everyday lives, particularly with medication management and household tasks. These assistants can send reminders for medication and even dispense pills, as well as help with tasks such as adjusting the thermostat and grocery shopping. Furthermore, this technology has the potential to improve the quality of life for elderly individuals and help them maintain their independence. This paper introduces a cognitive assistant designed for monitoring cardiorespiratory signals in remote healthcare settings, specifically for use in rural or underserved areas. The proposed tool utilizes a combination of mechanical, electronic, and computer components to enable analysis and pre-diagnosis of potential diseases.
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Acknowledgements
Work partly supported by Universitat Politècnica de València Research Grant PAID-10-19 and PID2021-123673OB-C31 funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDFA way of making Europe”, Consellería d’Innovació, Universitats, Ciencia i Societat Digital from Comunitat Valenciana (APOSTD/2021/227) through the European Social Fund (Investing In Your Future).
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Rincon, J.A., Marco-Detchart, C., Julian, V. (2023). Cognitive Assistant for Enhanced eHealth Monitoring. In: Mathieu, P., Dignum, F., Novais, P., De la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection. PAAMS 2023. Lecture Notes in Computer Science(), vol 13955. Springer, Cham. https://doi.org/10.1007/978-3-031-37616-0_36
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DOI: https://doi.org/10.1007/978-3-031-37616-0_36
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