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Motor Learning in a Customized Body-Machine Interface (BMI)

2019년 11월 14일 업데이트: Ferdinando Mussa-Ivaldi, Shirley Ryan AbilityLab

Motor Learning in a Customized Body-Machine Interface for Persons With Paralysis

People with tetraplegia often retain some level of mobility of the upper body. The proposed study will test the hypothesis that it is possible to develop personalized interfaces, which utilize the residual mobility to enable paralyzed persons to control computers, wheelchairs and other assistive devices. If successful the project will result into the establishment of a new family of human-machine interfaces based on wearable sensors that adapt their functions to their users' abilities.

연구 개요

상태

알려지지 않은

정황

상세 설명

The goal of these studies is to enable persons paralyzed by spinal cord injury (SCI) to drive powered wheelchairs and interact with computers by acting through an interface that maximizes the effectiveness of their residual motor function. This is called a "body-machine interface" because it maps the motions of the upper-body (arms and shoulders) to the space of device control signals in an optimal way. In this way, paralyzed persons that cannot operate a joystick controller because of lack of hand mobility can effectively use their whole upper body as virtual joystick device. An important characteristic of the proposed approach is that it is based on the possibility to control a computer or a wheelchair by bodily movements through an interactive learning process, in which the interface adapts itself to the subject's mobility and the subject learns to act through the interface. This study aims at developing and testing the customization of this interface to a group of SCI participants with tetraplegia, resulting from high-level cervical injury. The proposed research is organized in three specific aims:

(Aim 1) To develop new functional capabilities in persons with spinal cord injury by customizing a body-machine interface to their individual upper body mobility. After fitting the interface to the residual movements of each subject, participants will practice computer games aimed at training two classes of control actions: operating a virtual joystick and operating a virtual keyboard. This study will test the ability of the subjects to perform skilled maneuvers with a simulated wheelchair.

(Aim 2.) To test the hypothesis that practicing the upper-body control of personalized interfaces results in significant physical and psychological benefits after spinal-cord injury. A study will evaluate and quantify the impact of the practicing functional upper-body motions on the mobility of the shoulder and arms by conventional clinical methods and by measuring the subjects' ability to generate coordinated upper body movements and to apply isometric forces. Other studies under this aim will evaluate the effects of operating the body-machine interface on musculoskeletal pain and on the mood and mental state of the participants.

(Aim 3) To train spinal-cord injury survivors to skillfully operate a powered wheelchair using their enhanced upper body motor skills and customized interface parameters. Finally, the last study will test the hypothesis that the skills learned through practice in the virtual environment are retained for the control of an actual powered wheelchair. After reaching stable performance in the simulated wheelchair, subjects will practice the control of the physical wheelchair in safe a testing environment.

(Aim 4.) To understand how extensive practice with a body machine interface affects the cortical representation of the trained limbs. A study will evaluate and quantify the impact of the practicing functional upper-body motions on corticospinal excitability as a correlate to sensorimotor skill learning. Participants will meet the inclusion criteria for both the main study and satisfy the additional optional criteria. Participant will practice upper-body movements using the body-machine interface. The study will evaluate the evolution of corticospinal excitability in related areas of the motor cortex during the training compared to the baseline and after a follow-up period.

If successful, this study will lead to effective operation of a highly customized interface that adapts to the residual motor capability of its users. Physical and psychological benefits are expected to derive from the sustained and coordinated activity associated with the use of this body-machine interface

연구 유형

중재적

등록 (실제)

157

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 장소

    • Illinois
      • Chicago, Illinois, 미국, 60611
        • Shirley Ryan Abilitylab

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

18년 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

설명

Inclusion Criteria:

  • Age 18-65
  • Injuries at C3-C6 level, complete (ASIA A) or incomplete (ASIA B and C)
  • Able to follow simple commands
  • Able to speak or respond to questions

Exclusion Criteria:

  • Presence of tremors, spasm and other significant involuntary movements
  • Cognitive impairment
  • Deficit of visuo-spatial orientation
  • Concurrent pressure sores or urinary tract infection

(Optional) Additional Exclusion Criteria for evaluation of corticospinal excitability using Transcranial Magnetic Stimulation:

  • Any metal in head with the exception of dental work or any ferromagnetic metal elsewhere in the body. This applies to all metallic hardware such as cochlear implants, or an Internal Pulse Generator or medication pumps, implanted brain electrodes, and peacemaker.
  • Personal history of epilepsy (untreated with one or a few past episodes), or treated patients
  • Vascular, traumatic, tumoral, infectious, or metabolic lesion of the brain, even without history of seizure, and without anticonvulsant medication
  • Administration of drugs that potentially lower seizure threshold [62], without concomitant administration of anticonvulsant drugs which potentially protect against seizures occurrence
  • Change in dosage for neuro-active medications (Baclophen, Lyrica, Celebrex, Cymbalta, Gapapentin, Naposyn, Diclofenac, Diazapam, Tramadol, etc) within 2 weeks of any study visit.
  • Skull fractures, skull deficits or concussion within the last 6 months
  • unexplained recurring headaches
  • Sleep deprivation, alcoholism
  • Claustrophobia precluding MRI
  • Pregnancy

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 지지 요법
  • 할당: 무작위화되지 않음
  • 중재 모델: 병렬 할당
  • 마스킹: 하나의

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: SCI Static
SCI group that practices with a static body-machine map
The intervention compares two ways of customizing the body-machine interface which will be used for subjects for 40 sessions (spread over 8 months). In one case (SCI static), the body-machine interface is static. In the other case (SCI Machine Learning), there is a machine learning algorithm that adapts to the movements made by the subject.
실험적: SCI Machine Learning
Spinal Cord Injury patients who practice with a body-machine map that is adapted using machine learning
The intervention compares two ways of customizing the body-machine interface which will be used for subjects for 40 sessions (spread over 8 months). In one case (SCI static), the body-machine interface is static. In the other case (SCI Machine Learning), there is a machine learning algorithm that adapts to the movements made by the subject.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Change in Time to task completion from Baseline at 8 months
기간: Baseline and 8 months
The subjects will perform computer games requiring different data entry tasks (characters, cursor control) and navigate either a virtual or a real obstacle course. This primary outcome measure is the time it takes subjects to complete each task.
Baseline and 8 months

2차 결과 측정

결과 측정
측정값 설명
기간
Change in Movement Smoothness from Baseline at 8 months
기간: Baseline and 8 months
This outcome measure measures the change in movement smoothness when operating the virtual and real wheelchairs
Baseline and 8 months
Change in Strength
기간: Baseline and 8 months
This outcome measure measures the changes in upper body strength after training
Baseline and 8 months
Change in Mental State
기간: Baseline and 8 months
This outcome measures measures the change in mental state (as quantified by the State-Trait Anxiety Inventory) after training
Baseline and 8 months

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

수사관

  • 수석 연구원: Ferdinando A Mussa-Ivaldi, PhD, Northwestern University

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작

2013년 2월 1일

기본 완료 (예상)

2022년 9월 1일

연구 완료 (예상)

2022년 9월 1일

연구 등록 날짜

최초 제출

2012년 4월 16일

QC 기준을 충족하는 최초 제출

2012년 5월 28일

처음 게시됨 (추정)

2012년 5월 31일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2019년 11월 15일

QC 기준을 충족하는 마지막 업데이트 제출

2019년 11월 14일

마지막으로 확인됨

2019년 11월 1일

추가 정보

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

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