Intelligent Medication Adherence Monitoring System

Author(s):  
Athanasios Anastasiou ◽  
Kostas Giokas ◽  
Georgia Koutsouri ◽  
Dimitra Iliopoulou

This chapter presents the architecture and implementation of an automatic medication dispenser specifically for users who take medications without close professional supervision. By relieving the users from the error-prone tasks of interpreting medication directions and administrating medications accordingly, the device can improve the required level in compliance and prevent serious medication errors. By taking advantage of the scheduling flexibility provided by medication directions, the device makes the user's medication schedule easy to adhere and tolerant to tardiness whenever possible. This work is done collaboratively by the medication scheduler and dispenser controller in an action-oriented manner. An advantage of the action-oriented interface between the components is extensibility, as new functions can be added and existing ones removed with little or no need to modify the dispenser control structure. This chapter first describes the action-oriented design, major components and hardware structures of the smart device. It then provides an overview of the heuristic algorithms used by the medication scheduler and their relative merits. The different available user options will be presented depicting the user-specific operating modes of the device/service. The scope of this chapter is to describe the development of a smart electronic drug dispenser unit for the pharmaceutical adherence of patients.

2012 ◽  
Vol 1 (4) ◽  
pp. 13-24 ◽  
Author(s):  
Athanasios Anastasiou ◽  
Kostas Giokas ◽  
Georgia Koutsouri ◽  
Dimitra Iliopoulou

This paper presents the architecture and implementation of an automatic medication dispenser (iMedPlus) specifically for users who take medications without close professional supervision. By relieving the users from the error-prone tasks of interpreting medication directions and administrating medications accordingly, the device can improve rigor in compliance and prevent serious medication errors. By taking advantage of scheduling flexibility provided by medication directions, the device makes the user’s medication schedule easy to adhere and tolerant to tardiness whenever possible. This work is done collaboratively by the medication scheduler and dispenser controller in an action-oriented manner. An advantage of the action-oriented interface between the components is extensibility, as new functions can be added and existing ones removed with little or no need to modify the dispenser control structure. The paper first describes the action-oriented design, major components, and hardware structures of the smart device. It then provides an overview of the heuristic algorithms used by the medication scheduler and their relative merits. The different available user options are presented depicting the user-specific operating modes of the device/service. The scope of this paper is to describe the development of a smart electronic drug dispenser unit for the pharmaceutical adherence of patients.


Author(s):  
Athanasios Anastasiou ◽  
Kostas Giokas ◽  
Georgia Koutsouri ◽  
Dimitra Iliopoulou

This chapter presents the architecture and implementation of an automatic medication dispenser specifically for users who take medications without close professional supervision. By relieving the users from the error-prone tasks of interpreting medication directions and administrating medications accordingly, the device can improve the required level in compliance and prevent serious medication errors. By taking advantage of the scheduling flexibility provided by medication directions, the device makes the user's medication schedule easy to adhere and tolerant to tardiness whenever possible. This work is done collaboratively by the medication scheduler and dispenser controller in an action-oriented manner. An advantage of the action-oriented interface between the components is extensibility, as new functions can be added and existing ones removed with little or no need to modify the dispenser control structure. This chapter first describes the action-oriented design, major components and hardware structures of the smart device. It then provides an overview of the heuristic algorithms used by the medication scheduler and their relative merits. The different available user options will be presented depicting the user-specific operating modes of the device/service. The scope of this chapter is to describe the development of a smart electronic drug dispenser unit for the pharmaceutical adherence of patients.


2021 ◽  
Vol 17 (3) ◽  
pp. 1-20
Author(s):  
Vanh Khuyen Nguyen ◽  
Wei Emma Zhang ◽  
Adnan Mahmood

Intrusive Load Monitoring (ILM) is a method to measure and collect the energy consumption data of individual appliances via smart plugs or smart sockets. A major challenge of ILM is automatic appliance identification, in which the system is able to determine automatically a label of the active appliance connected to the smart device. Existing ILM techniques depend on labels input by end-users and are usually under the supervised learning scheme. However, in reality, end-users labeling is laboriously rendering insufficient training data to fit the supervised learning models. In this work, we propose a semi-supervised learning (SSL) method that leverages rich signals from the unlabeled dataset and jointly learns the classification loss for the labeled dataset and the consistency training loss for unlabeled dataset. The samples fit into consistency learning are generated by a transformation that is built upon weighted versions of DTW Barycenter Averaging algorithm. The work is inspired by two recent advanced works in SSL in computer vision and combines the advantages of the two. We evaluate our method on the dataset collected from our developed Internet-of-Things based energy monitoring system in a smart home environment. We also examine the method’s performances on 10 benchmark datasets. As a result, the proposed method outperforms other methods on our smart appliance datasets and most of the benchmarks datasets, while it shows competitive results on the rest datasets.


2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Shiqiang Wang ◽  
Jianchun Xing ◽  
Ziyan Jiang ◽  
Juelong Li

A decentralized control structure is introduced into the heating, ventilation, and air conditioning (HVAC) system to solve the high maintenance and labor cost problem in actual engineering. Based on this new control system, a decentralized optimization method is presented for sensor fault repair and optimal group control of HVAC equipment. Convergence property of the novel method is theoretically analyzed considering both convex and nonconvex systems with constraints. In this decentralized control system, traditional device is fitted with a control chip such that it becomes a smart device. The smart device can communicate and operate collaboratively with the other devices to accomplish some designated tasks. The effectiveness of the presented method is verified by simulations and hardware tests.


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