‘Thought’ – control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia

  title={‘Thought’ – control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia},
  author={Gert Pfurtscheller and G. R. M{\"u}ller and J{\"o}rg Pfurtscheller and Hans J. Gerner and R{\"u}diger Rupp},
  journal={Neuroscience Letters},

[Functional electrical stimulation instead of surgery? Improvement of grasping function with FES in a patient with C5 tetraplegia].

Application of this stimulation system enabled the patient to drink for the first time after the accident from a glass without any additional help.

EEG-triggered neuromuscular stimulation therapy for hemiplegia of the hand due to chronic stroke

Results suggest that EEGs can provide a reliable control signal to trigger electrical stimulation of the hand even after stroke, and may help motor function recovery by inducing activitydependent cortical reorganization.

Brisk movement imagination for the non-invasive control of neuroprostheses: A first attempt

In this work, a new method for the non-invasive use of a Brain-Computer Interface (BCI) for the control of the hand and elbow function is presented.

Graz Brain-Computer Interface: Control of neuroprostheses for the upper extremity

An overview of the Graz BCI used for the control of neuroprosthetic devices is given and a method to overcome the problem of losing the ability to move the elbow is offered.

Dexterous Control of Seven Functional Hand Movements Using Cortically-Controlled Transcutaneous Muscle Stimulation in a Person With Tetraplegia

This study quantified performance of an intuitive, cortically-controlled, transcutaneous FES system on standardized object manipulation tasks from the Grasp and Release Test (GRT), and suggested that motor cortex neural representations for functional grips are likely more related to hand shape and force required to hold objects, rather than to the objects themselves.

Towards Natural Arm Control: Classification of hand and elbow movements

The aim of the following study is to investigate whether the imagination of hand and elbow movements can be used for neuroprosthetic control and to describe a first investigation of the separability of executed as well as imagined hand and elbows movements.

Non-invasive control of neuroprostheses for the upper extremity: Temporal coding of brain patterns

An overview of the Graz BCI used for the control of grasp neuroprostheses as well as a new control method for combining grasp and elbow function is introduced.

BCI-FES hand therapy for patients with sub-acute tetraplegia

Brain computer interfaces could be used to control functional electrical stimulation to achieve better results in neurorehabilitation and improvement in the manual muscle test grading after using the BCI-FES.

Toward the Restoration of Hand Use to a Paralyzed Monkey: Brain-Controlled Functional Electrical Stimulation of Forearm Muscles

This work is developing a system that uses neural signals recorded from a multi-electrode array implanted in the motor cortex that has the potential to provide independent control of multiple muscles over a broad range of functional tasks.



EEG-based control of a hand grasp neuroprosthesis.

Control over the EEG signal was unaffected by upper extremity movement or electrical activation of the muscles, indicating that this signal would be adequate for neuroprosthetic use.

Artificial grasping system for the paralyzed hand.

An 8 channel microcomputer controlled stimulator with monophasic square voltage output was used to perform palmar and lateral prehension and power grip (index finger extension type) in upper limb rehabilitation towards restoring motor hand function.

Neuroprostheses for grasping

The FES technology is briefly explained and a typical population of subjects that can benefit from this technology is indicated as well as the methodology to select and train these subjects to apply the neuroprosthesis in daily living activities.

Efficacy of an implanted neuroprosthesis for restoring hand grasp in tetraplegia: a multicenter study.

Pinch force was significantly greater with the neuroprosthesis in all available 50 participants, and grasp-release abilities were improved in 49, and all tested participants were more independent in performing ADLs with the NeuroProsthesis than they were without it.

Motor imagery and direct brain-computer communication

At this time, a tetraplegic patient is able to operate an EEG-based control of a hand orthosis with nearly 100% classification accuracy by mental imagination of specific motor commands.

Rapid prototyping of an EEG-based brain-computer interface (BCI)

A new type of BCI system that uses rapid prototyping to enable a fast transition of various types of parameter estimation and classification algorithms to real-time implementation and testing is described.

Real-time prediction of hand trajectory by ensembles of cortical neurons in primates

The results suggest that long-term control of complex prosthetic robot arm movements can be achieved by simple real-time transformations of neuronal population signals derived from multiple cortical areas in primates.