Clinical trial NCT03120741: Dementia Patient's Behavior Evaluation Using Noninvasive Ambient Sensor
Official title: Dementia Patient's Behavior Evaluation Using Noninvasive Ambient Sensor
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Mild Cognitive Impairment, Dementia
Keywords: Healthcare Quality
Lead sponsor: National Taiwan University Hospital
Sponsor class: OTHER
First posted: 2017-04-19
Enrollment: 35
Sex: ALL
Minimum age (years): 65
Maximum age (years): 100
Standard ages: OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: CASE_CONTROL
Time perspective: OTHER
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.

Brief summary: 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.

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.

Eligibility criteria: 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.

Primary outcomes:
measure: The relationship between moving pattern change and dementia.
timeFrame: 6 months
measure: The relationship between daily routine change and dementia.
timeFrame: 6 months
measure: The relationship between sleeping time change and dementia.
timeFrame: 6 months
Secondary outcomes:
Other outcomes:
Locations:
city: Taipei
country: Taiwan
facility: National Taiwan University Hospital
Study officials:
affiliation: National Taiwan University, Department of Computer Science & Information Engineering
name: Li-Chen Fu, Doctor
role: PRINCIPAL_INVESTIGATOR
References: