Connected multisensory room with data analytics for cognitive impairment therapy/ Muhammad Akmal Jamil

Multisensory room (MSR) is a prescription of therapy sessions for stimulating senses involving patient and therapist interaction. Therapy sessions are known to take effect at different rate depending on patient’s condition and response, often across a long period of time for it to be noticeable. Bas...

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Main Author:	Jamil, Muhammad Akmal
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Apparatus and materials
Online Access:	https://ir.uitm.edu.my/id/eprint/102834/1/102834.pdf
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id	my-uitm-ir.102834
record_format	uketd_dc
spelling	my-uitm-ir.1028342024-10-02T08:51:41Z Connected multisensory room with data analytics for cognitive impairment therapy/ Muhammad Akmal Jamil 2018 Jamil, Muhammad Akmal Apparatus and materials Detectors. Sensors. Sensor networks Multisensory room (MSR) is a prescription of therapy sessions for stimulating senses involving patient and therapist interaction. Therapy sessions are known to take effect at different rate depending on patient’s condition and response, often across a long period of time for it to be noticeable. Based on this reason, there is a need to improve data collection and analysis that will allow clinical data analytic. This project presented a multisensory room design that offers added connectivity for data storage and configuration for data analytics. The main objective is to develop effective data collection through multisensory therapy session. Second objective is to demonstrate data analytics using predictive model towards data collected from the multisensory room. Under this framework, the therapy would be divided to five sub-modules. First, when the patient meets the doctor or therapist assessment, to be given the clinical prescription. Second is therapist assessment, followed by the MSR session, then the post-MSR therapist assessment. The treatment is concluded by data analytics. MSR performed analysis to assist doctor’s review of the prescribed MSR using artificial data that is incorporated into behavioural checklist and patient data. Results show that in a connected environment of a multisensory room, data analytics involving visual representation and linear regression predictive model using SAS Viya is able to produce patient response analysis. The analysis will be useful to support doctor’s assessment of the patients that have undergone therapy sessions. 2018 Thesis https://ir.uitm.edu.my/id/eprint/102834/ https://ir.uitm.edu.my/id/eprint/102834/1/102834.pdf text en public degree Universiti Teknologi MARA Faculty of Electrical Engineering
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Apparatus and materials Apparatus and materials
spellingShingle	Apparatus and materials Apparatus and materials Jamil, Muhammad Akmal Connected multisensory room with data analytics for cognitive impairment therapy/ Muhammad Akmal Jamil
description	Multisensory room (MSR) is a prescription of therapy sessions for stimulating senses involving patient and therapist interaction. Therapy sessions are known to take effect at different rate depending on patient’s condition and response, often across a long period of time for it to be noticeable. Based on this reason, there is a need to improve data collection and analysis that will allow clinical data analytic. This project presented a multisensory room design that offers added connectivity for data storage and configuration for data analytics. The main objective is to develop effective data collection through multisensory therapy session. Second objective is to demonstrate data analytics using predictive model towards data collected from the multisensory room. Under this framework, the therapy would be divided to five sub-modules. First, when the patient meets the doctor or therapist assessment, to be given the clinical prescription. Second is therapist assessment, followed by the MSR session, then the post-MSR therapist assessment. The treatment is concluded by data analytics. MSR performed analysis to assist doctor’s review of the prescribed MSR using artificial data that is incorporated into behavioural checklist and patient data. Results show that in a connected environment of a multisensory room, data analytics involving visual representation and linear regression predictive model using SAS Viya is able to produce patient response analysis. The analysis will be useful to support doctor’s assessment of the patients that have undergone therapy sessions.
format	Thesis
qualification_level	Bachelor degree
author	Jamil, Muhammad Akmal
author_facet	Jamil, Muhammad Akmal
author_sort	Jamil, Muhammad Akmal
title	Connected multisensory room with data analytics for cognitive impairment therapy/ Muhammad Akmal Jamil
title_short	Connected multisensory room with data analytics for cognitive impairment therapy/ Muhammad Akmal Jamil
title_full	Connected multisensory room with data analytics for cognitive impairment therapy/ Muhammad Akmal Jamil
title_fullStr	Connected multisensory room with data analytics for cognitive impairment therapy/ Muhammad Akmal Jamil
title_full_unstemmed	Connected multisensory room with data analytics for cognitive impairment therapy/ Muhammad Akmal Jamil
title_sort	connected multisensory room with data analytics for cognitive impairment therapy/ muhammad akmal jamil
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Electrical Engineering
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/102834/1/102834.pdf
_version_	1818588057247416320

Connected multisensory room with data analytics for cognitive impairment therapy/ Muhammad Akmal Jamil

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