Feedback on emergency medical dispatching – the ambulance crew experience of a computer based feedback system

The purpose of this experiment was to assess the efficacy of using real-time generated computer feedback of a selected biomechanical variable, force, for modifying the pattern-of-force application of inexperienced cyclists while they cycled at a steady rate (60 rpm) and power output (approximately 112 watts). Positive results would imply that the technique of using biomechanical variables as augmented feedback could be applied in a learning study in such a way to train for the enhancement of performance of cyclists. This approach differs from the traditional one of using novices performing novel tasks. Even though the cyclists were inexperienced, they nonetheless knew how to cycle and thus modifications of the pattern of force application were made to an already existing complex skill.

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Reporting of data from out-of-hospital cardiac arrest has to involve emergency medical dispatching—Taking the recommendations on reporting OHCA the Utstein style a step further

Resuscitation ◽

10.1016/j.resuscitation.2011.08.020 ◽

2011 ◽

Vol 82 (12) ◽

pp. 1496-1500 ◽

Cited By ~ 31

Author(s):

M. Castrén ◽

K. Bohm ◽

A.M. Kvam ◽

E. Bovim ◽

E.F. Christensen ◽

...

Keyword(s):

Cardiac Arrest ◽

Emergency Medical ◽

Utstein Style ◽

Hospital Cardiac Arrest ◽

Emergency Medical Dispatching

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Effectiveness of a computer-based feedback system for writing

Proceedings of the 18th annual Southeast regional conference on - ACM-SE 18 ◽

10.1145/503838.503880 ◽

1980 ◽

Author(s):

Kamala Anandam ◽

Ed Eisel ◽

Lorne Kotler

Keyword(s):

Feedback System ◽

Computer Based

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EFFICACY OF LOW ENERGY NEUROFEEDBACK SYSTEM IN REHABILITATION OF MENTAL HEALTH DISORDERS

Pakistan Journal of Rehabilitation ◽

10.36283/pjr.zu.8.1/010 ◽

2019 ◽

Vol 8 (1) ◽

pp. 49-52

Author(s):

Saad Ali Mir ◽

Fatima Khan

Keyword(s):

Mental Health ◽

Feedback System ◽

Mental Health Disorders ◽

Treatment Session ◽

Low Energy ◽

Health Issues ◽

Noticeable Improvement ◽

Computer Based ◽

Health Disorders ◽

Mental Health Rehabilitation

The Low Energy Neuro feedback System (LENS) is one of the growing approaches used to bring Quality of life (QOL) to the patients suffering from mental health issues and Nervous system disorders by elevating the symptoms. It is a computer- based software program that is connected to EEG box which measure brain waves. This approach is different from Neuro feedback technique as it uses very low electromagnetic strength. It brings in noticeable improvement after few second of treatment session which does not require conscious awareness or voluntary participation from the client. It was first developed in the early 1900s by Dr Len Ochs to treat uncontrolled epilepsy, followed by many researches that signify its beneficence for treating many neurological and mental health disorders. This technique does not cure the disorder though it does elevate symptoms that improve the QOL. Although LENS is being exercise around the world, it is still unidentified by many professionals in Pakistan. Use of LENS adjacent to other therapies will bring revolution in Pakistan mental health rehabilitation. More research on LENS is suggested.

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Reading Instruction and Remediation Using Voice Synthesis in Computer Interaction

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193128603001322 ◽

1986 ◽

Vol 30 (13) ◽

pp. 1336-1339 ◽

Cited By ~ 1

Author(s):

Richard Olson ◽

Gregory Foltz ◽

Barbara Wise

Keyword(s):

Reading Instruction ◽

Feedback System ◽

Word Decoding ◽

Decoding Skills ◽

Synthesized Speech ◽

The Disabled ◽

Speech Feedback ◽

Computer Based ◽

Unknown Words ◽

Disabled Readers

Synthesized speech was used in our Computer-Based Reading and Speech-Feedback system for training disabled readers. In this system, children touch unfamiliar words in stories presented on the computer display and receive speech feedback to help develop their word decoding skills. Results from a study of disabled readers' responses to the system are reported. The disabled readers could identify words spoken by the synthesizer nearly as well as the same words presented in natural speech. After reading stories and targeting unknown words with a mouse or light pen, the disabled readers were later able to read a high percentage of the targeted words for which they had received speech feedback. Extended use of the system may substantially improve the prognosis for disabled readers. The advantages of synthesized speech over other types of computer speech are discussed for this application.

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