Dementia Patient's Behavior Evaluation Using Noninvasive Ambient Sensor

April 14, 2017 updated by: National Taiwan University Hospital
This study is an observational study that uses daily activity and environmental sensing techniques to establish behavioral models of early dementia patients and cognitive healthy function to assess their daily behavior and determine their activities. Specifically, the team will collect information on a number of wireless sensors for dementia, mild cognitive impairment and healthy elderly residents, and use special mathematical models to establish the behavior of the two groups of subjects Model. The model will be developed a reliable algorithm to assess health risk of the subjects.

Study Overview

Status

Unknown

Conditions

Detailed Description

With the help of intelligent home environment and Pervasive Computing, it is possible to bring information about the behavior of the patients to the caregivers and their relatives. In this study, non-invasive wireless sensors such as infrared motion sensor the switch sensor will be built in the home of the subjects. The wireless sensor data collected by the input to the team's "activity identification system" in order to assess the mathematical model of the subjects "capacity" and immediate judgment of their activities. In the identification of activities can be divided into two categories of behavior, risk behavior (harmful to the subjects) and protective behavior (beneficial to the subjects), real-time activity detection, can avoid dangerous behavior, such as water and gas off, roaming , Repetitive behavior (over-eating), forgetting to eat and day-night reversal (sleep disturbance), etc., the protection of behavior can be observed through a long time to help patients conduct beneficial behavior, such as regular quantitative diet.

Study Type

Observational

Enrollment (Anticipated)

35

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Taiwan
      • Taipei, Taiwan, 10617
        • National Taiwan University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

65 years to 100 years (Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

The age of the subject is over 65. The education level is junior high school degree or above. The healthy elders will be selected by the MMSE score (over 24), AD-8 score (under 2) and the Mini-Cog (over 4).

The MMSE score of the subjects with cognitive impairment or dementia is 10 to 23.

Description

Inclusion criteria:

  • Can communicate in Mandarin or Taiwanese.
  • Consciousness is clear.
  • Can do the daily activity by their own.

Exclusion criteria:

  • Have a serious cardiopulmonary disease or physical activity is limited to those unable to carry out daily activities.
  • Consciousness is not clear.
  • Difficult communication, such as: aphasia patients, the use of respirator patients.
  • Suffering from serious mental illness that can not match.
  • Adopt absolute isolation, such as: open tuberculosis patients.
  • Hearing or severe visual impairment that can not match.
  • Can not exercise their consent.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The relationship between moving pattern change and dementia.
Time Frame: 6 months
Motion sensors will be installed on the ceiling. We will analyze multiple sensors to see how the participant move from one location to another. The data whether the participant is wandering or not and times of wandering will be measured.
6 months
The relationship between daily routine change and dementia.
Time Frame: 6 months

Motion sensors, switch sensors, and current sensors will be installed in the home of the participant.

The room which the participant is in, the appliance which the participant is using will be measured.
6 months
The relationship between sleeping time change and dementia.
Time Frame: 6 months
Motion sensors will be installed in the bed or on the ceiling. The time when the participant goes to sleep, and the times the participant turns over during sleep will be measured.
6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

National Taiwan University Hospital

Investigators

  • Principal Investigator: Li-Chen Fu, Doctor, National Taiwan University, Department of Computer Science & Information Engineering

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

May 1, 2017

Primary Completion (Anticipated)

August 1, 2018

Study Completion (Anticipated)

August 1, 2018

Study Registration Dates

First Submitted

November 15, 2016

First Submitted That Met QC Criteria

April 14, 2017

First Posted (Actual)

April 19, 2017

Study Record Updates

Last Update Posted (Actual)

April 19, 2017

Last Update Submitted That Met QC Criteria

April 14, 2017

Last Verified

December 1, 2016

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 201608004RINB

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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