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Modeling Pharmacokinetics and Pharmacodynamics



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Ritter F E Yeh K C M 2011 Modeling pharmacokinetics and pharmacodynamics on a mobile device to help caffeine users In Augmented Cognition International Conference 2011 FAC 2011 HCII 2011 LNAI 6780 528 535 Springer Verlag Berlin Heidelberg Modeling Pharmacokinetics and Pharmacodynamics on a Mobile Device to Help Caffeine Users Frank E Ritter and Kuo Chuan Martin Yeh The Pennsylvania State University frank ritter martin yeh psu edu Abstract We introduce a mobile device application that displays key information about caffeine the pharmacokinetics time course of drug levels and pharmacodynamics the effects of caffeine level visually on the iPhone iPod Touch and iPad This application Caffeine Zone is based on an existing model of caffeine physiology using user inputs including caffeine dose start time and consumption speed It calculates the caffeine load in a user for the next twenty four hours and displays it using a line chart In addition it shows whether the user is currently in the cognitive alert zone the range of caffeine where a normal person might benefit most from caffeine or the possible sleep zone the range of caffeine where sleep is presumed not affected by caffeine level Understanding the pharmacokinetics and pharmacodynamics of caffeine can help people using caffeine to improve alertness including in operational environments Caffeine Zone may also help users create a mental model of caffeine levels when the device is not available We argue that this app will both teach users the complex absorption elimination process of caffeine and help monitor users daily caffeine usage The model with additional validation can be part of a system that predict cognitive state of users and provide assistances in critical conditions Keywords pharmacokinetics pharmacodynamics caffeine mobile app modeling 1 Introduction Caffeine the most widely used psychoactive substance e g 1 2 has long been regarded as an effective way to improve mental alertness and reactions especially in



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