MISS: Medicine Information Support System in the Smart Home Environment

Álamo, José M. Reyes; Wong, Johnny; Babbitt, Ryan; Chang, Carl K.

doi:10.1007/978-3-540-69916-3_22

Cited by 13 publications

(9 citation statements)

References 4 publications

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“…Data is taken each hour, and used to detect deviation from a predefined behaviour which, in case, set off alerts to note them. In [15] a method for helping in the medicine intake management task is presented. This system check the possibles conflict in the prescribed medicines of elder people.…”

Section: State Of the Artmentioning

confidence: 99%

In-home monitoring system based on WiFi fingerprints for ambient assisted living

Torres-Sospedra

Trilles

Calia

et al. 2017

AIS

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Abstract-This paper presents an in-home monitoring system based on WiFi fingerprints for Ambient Assisted Living. WiFi fingerprints are used to continuously locate a patient at the different rooms in her/his home. The experiments performed provide a correctly location rate of 96% in the best case of all studied scenarios. The behavior obtained by location monitoring allows to detect anomalous behavior such as long stays in rooms out of the common schedule. The main characteristics of our system are: a) it is robust enough to work without an own WiFi access point, which in turn means a very affordable solution; b) low obtrusiveness, as it is based on the use of a mobile phone; c) highly interoperable with other wireless connections (bluetooth, RFID) present in current mobile phones; d) alarms are triggered when any anomalous behavior is detected.

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Section: State Of the Artmentioning

confidence: 99%

In-home monitoring system based on WiFi fingerprints for ambient assisted living

Torres-Sospedra

Trilles

Calia

et al. 2017

AIS

View full text Add to dashboard Cite

show abstract

“…This demo helps in the management of the medicines in the Smart Home environment [68]. This demo integrates the doctor, the pharmacy and the smart home to ensure safety and check for conflicts.…”

Section: Medicine Demomentioning

confidence: 99%

“…The patient fails the completeness requirement if less than 4 pills or more that 4 pills are taken during the day. In order to check for this we formally check that the medicine detection mechanism detects when the wrong medicine is chosen, that the notifications and reminders systems [68] give appropriate reminder and warnings in case of an error, that the context is taken into consideration [46] and the system in general correctly catches situations in which the on-time and completeness properties are violated.…”

Section: Formal Verificationmentioning

confidence: 99%

“…Timeliness determines whether the medications are taken at a correct time, and completeness defines whether the correct dosage is taken. Formal definitions of the timeliness and completeness are presented later with the system model, which is followed with a description of how to use the context information [46] and the notification services [68] in a smart home to aid prescription compliance. The next subsection contains details on how interoperability among subsystems is provided.…”

Section: The Smart Home Subsystem (Ss)mentioning

confidence: 99%

“…This data the SH stores it in its database to use it to update other subsystems such as the reminder, notification and medication inventory. When a conflict is detected the corresponding message is displayed and notifications are given [68]. The Smart Home Subsystem was developed as a bundle that runs is OSGi, a framework particularly suitable for SH applications [46].…”

Section: Prototyped Implementationmentioning

confidence: 99%

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