ClinicalTrials.Veeva

Menu

Development and Needs Assessment and Efficiency of Smart Communication System for Patients With ALS.

T

Taipei Veterans General Hospital

Status

Unknown

Conditions

ALS (Amyotrophic Lateral Sclerosis)

Treatments

Other: communication system

Study type

Interventional

Funder types

Other

Identifiers

NCT03787420
107-3011-F-027-002-

Details and patient eligibility

About

This project aims to develop a smart communication system for patients with amyotrophic lateral sclerosis (ALS), especially for stage 3 and stage 4 (late stage). Patients with ALS will be able to communicate with outer environment by means of mental control or eye tracking control, which would increase their life quality. This integrated research project includes experts from different domains and proposes a solution for smart communication system.

Full description

A multi-function brain- computer interface (BCI) communication system will be developed by combining a BCI system (subproject 1) and a 3D electro-cap (subproject 3). Then, this system and an eye-controlled device (subject 2) are further integrated to a smart communication system. The outputs of the system are presented with the original voice the ALS patients, which will be achieved by using the voice reconstruction technology (subproject 4) in this project. All the user-interfaces of the BCI and eye tracking systems will be re-deigned by employing human factors engineering to increase the usability of the proposed smart communication system for ALS. Finally, the validity of the system in improving the life quality of ALS will be assessed through clinical study.

Enrollment

60 estimated patients

Sex

All

Ages

20+ years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Part one:

Inclusion Criteria:

  • ALS diagnostic criteria (Brooks et al., 2000).Must have the following characteristics:

    1. Degeneration of motor neurons (LMN) by clinical, electrophysiological or neuropathological evidence.
    2. Degeneration of upper motor neurons (UMN) is demonstrated by clinical examination.
    3. According to the medical history or examination, the symptoms or signs gradually disappear in a certain part.

Also, there are no features:

  1. Electrophysiological or pathological evidence of other diseases that may explain signs of LMN and/or UMN degradation

  2. Neuroimaging evidence of other diseases that may explain the observed clinical electrophysiological signs.

    • Use Mandarin as the main language.
    • Age limits minimum is 20

Exclusion Criteria:

  • Concomitant other central nervous disorders that interfere with their cognitive function, such as dementia, severe depression, and psychosis.
  • The questionnaire cannot be completed without the assistance of others.

Part two:

Inclusion Criteria:

  • ALS diagnostic criteria (Brooks et al., 2000).
  • Use Mandarin as the main language.
  • Age limits minimum is 20
  • In everyday oral communication, people who are consciously difficult.
  • Ability to perform equipment wear and system operators.

Exclusion Criteria:

  • Concomitant other central nervous disorders that interfere with their cognitive function, such as dementia, severe depression, and psychosis.
  • After correction, the visual acuity cannot see the communication board.
  • The scalp is sensitive or there is deep brain stimulation, etc. It is not applicable to brain wave measurement.
  • -The questionnaire cannot be completed without the assistance of others.

Trial design

Primary purpose

Other

Allocation

Randomized

Interventional model

Single Group Assignment

Masking

None (Open label)

60 participants in 2 patient groups

traditional communication system
Active Comparator group
Treatment:
Other: communication system
intelligent communication system
Experimental group
Treatment:
Other: communication system

Trial contacts and locations

1

Loading...

Central trial contact

Cheng Liang Chou; SI-HUEI LEE

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems