Dementia Patient's Behavior Evaluation Using Noninvasive Ambient Sensor

NCT ID: NCT03120741

Last Updated: 2017-04-19

Basic Information

• Recruitment Status: UNKNOWN
• Total Enrollment: 35 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2017-05-31
• Study Completion Date: 2018-08-31

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.

Conditions

Mild Cognitive Impairment, Dementia

Study Design

• Observational Model Type: CASE_CONTROL
• Study Time Perspective: OTHER

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.

• Minimum Eligible Age: 65 Years
• Maximum Eligible Age: 100 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

National Taiwan University Hospital

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Li-Chen Fu, Doctor

Role: PRINCIPAL_INVESTIGATOR

National Taiwan University, Department of Computer Science & Information Engineering

Locations

National Taiwan University Hospital

Taipei, , Taiwan

Countries

Taiwan

Central Contacts

Li-Chen Fu, Doctor

Role: CONTACT

lichen@ntu.edu.tw

+886-2-3366-4888 ext. 533

Facility Contacts

Li-Chen Fu, Doctor

Role: primary

lichen@ntu.edu.tw

+886-2-3366-4888 ext. 533

Other Identifiers

201608004RINB

Identifier Type: -

Identifier Source: org_study_id