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Skip search results from other journals and go to results- 2 JMIR Research Protocols
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Data analysis was performed following a deductive-inductive approach, using the framework of integration of ambient assisted living monitoring technologies within clinical decision-making developed by Lussier et al [15]. The framework was supplemented by other relevant components that emerged from our data. Data analysis was first performed separately for each CISSS and CIUSSS to identify similarities and differences.
J Med Internet Res 2025;27:e64713
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Algorithms using an inference system and finite state machine computation models were developed to monitor ADLs such as sleep, periods outside the home, cooking, hygiene, and general activity levels in the home (for more details, see the study by Lussier et al [45]). From these algorithms, it was possible to relay graphical information about the daily habits of the individual to clinicians to support their decision-making process.
JMIR Res Protoc 2024;13:e52284
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The 2 experimental training conditions (inhibition and updating) were provided by the Neuropeak web platform (Lussier M et al, unpublished data) using a Samsung Galaxy Tab 2 (Android version 4.2.2).
The updating training involved 2 N-back-type exercises (1-2- and 3-back) with different sets of stimuli. Both sets were performed during each of the 12 training sessions. The first set comprised stimuli made from digits (1 to 9) and the second comprised symbols (moon, planet, star, dog, bird, snake).
JMIR Res Protoc 2020;9(11):e20430
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Algorithms were built around various assumptions about these different activities, as previously described in a study by Lussier et al [27]. First, room occupation was recognized as follows: the occupant was considered to be in one room for as long as he or she was not detected in another room or outside the apartment. Sleep was identified if the occupant spent more than 20 min in the bedroom without interacting with any sensors other than the PIR directed at the bed.
JMIR Med Inform 2020;8(11):e20215
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