Biofeedback in the Aquatic Environment

Seminar: Biofeedback in the Aquatic Environment

Introduction to the Use of Surface Electromyography in the Aquatic Environment

Guest Speaker: Ronald A. Fuller

Ronald A. Fuller is the director of Aquatic Rehabilitation for the Elliot Health Systems in New Hampshire, where he is also active among the The Elliot Wellness Center/Live Better Institute.

Ron Fuller teaches graduate-level aquatic therapy and rehabilitation courses, and is among the faculty of Aquatic Consultants for the state of Georgia. He also sits on the Biofeedback Foundation of Europe’s advisory board. He is the president of the Aquatic Research and Education Associates and has authored several articles aquatic biofeedback.

October 28, 2011 -- Porto, Portugal : Congress Center|ISEP - Great Auditorium

October 29, 2011 -- Lisbon, Portugal: Lisbon Commercial Association|Hall

Schedule

From 9 a.m. - 1 p.m. 

Professionals: 25 €     Students: 15 €

In association with BioSigns and the Biofeedback Foundation of Europe

Organization: Felicity

Aquatic training is influenced by the physical properties of water and its forces, which may ease or hinder the proper completion of an exercise. It is therefore essential to formulate a training program specific to this environment. Monitoring the components of physical fitness and their proper execution results in an effective training program; biofeedback is based on such monitored data, as it is converted into visual or auditory information from physiological signals. SEMG systems convey these signals quickly, clearly, and objectively -- a task an individual subject is less likely to accomplish successfully. The association between SEMG data interpretation and internal information enhances performance and allows for the acquisition of new motor patterns.

The Benefits of Aquatic Biofeedback

1.  Obtaining quantitative data;

2.  A training program is based on an objective assessment of muscle activity;

3.  The training program takes into account the specific characteristics of different individuals according to the data bow and allows for modifications based on such differences;

4.  Achieve greater precision in the training program;

5.  Gain greater control;

6.  Transmit objective information in real time, such as the desired degree of muscle activation and appropriate movement patterns;

7.  Facilitate learning;

8.  Objectively monitor individual progress throughout the training

9.  Objectively justify the training plan;

10.          Monitor different fitness components: strength, muscle strength and flexibility;

Monitor the frequency, intensity and duration of training.