A choice reaction time test of ideomotor theory.

1970 ◽  
Vol 86 (1) ◽  
pp. 20-25 ◽  
Author(s):  
Anthony G. Greenwald
Keyword(s):  
Reaction Time ◽  
Choice Reaction Time ◽  
Ideomotor Theory ◽  
Time Test ◽  
Reaction Time Test

scholarly journals Response selection in choice reaction time: Test of a buffer model

1980 ◽  
Vol 8 (6) ◽  
pp. 606-611 ◽  
Author(s):  
Steven P. Mewaldt ◽  
Cheryl L. Connelly ◽  
J. Richard Simon
Keyword(s):  
Reaction Time ◽  
Choice Reaction Time ◽  
Response Selection ◽  
Time Test ◽  
Reaction Time Test

Attentional deficit in the siblings of schizophrenics

1979 ◽  
Vol 9 (3) ◽  
pp. 465-467 ◽  
Author(s):  
Rodger L. Wood ◽  
Mark cook
Keyword(s):  
Reaction Time ◽  
Choice Reaction Time ◽  
Matched Control ◽  
Control Group ◽  
Matched Control Group ◽  
Attentional Deficit ◽  
Time Test ◽  
Vigilance Test ◽  
Reaction Time Test

SynopsisA study of attentional deficit in the relatives of schizophrenics and in a matched control group is reported, in which the relatives are found to have poorer scores on a vigilance test and on a choice reaction time test. It is concluded that this deficit points to one of the primary symptoms of schizophrenia, and suggestions for further research are made

scholarly journals Portable four-choice reaction time test with magnetic tape memory

1975 ◽  
Vol 7 (5) ◽  
pp. 441-446 ◽  
Author(s):  
Robert T. Wilkinson ◽  
David Houghton
Keyword(s):  
Reaction Time ◽  
Choice Reaction Time ◽  
Magnetic Tape ◽  
Time Test ◽  
Reaction Time Test

Computerized 4-choice reaction time test for the measurement of psychomotor recovery after general anesthesia

2019 ◽  
Vol 34 (4) ◽  
pp. 833-841
Author(s):  
Taras I. Usichenko ◽  
Danika Städing ◽  
Michael Boesche ◽  
Henriette Janner ◽  
Thomas Hesse ◽  
...  
Keyword(s):  
Reaction Time ◽  
General Anesthesia ◽  
Choice Reaction Time ◽  
Time Test ◽  
Reaction Time Test

Levodopa-induced Drowsiness in Healthy Volunteers: Results of a Choice Reaction Time Test Combined with a Subjective Evaluation of Sedation

2001 ◽  
Vol 24 (2) ◽  
pp. 91-94 ◽  
Author(s):  
Jo??lle Micallef-Roll ◽  
Philippe Rihet ◽  
Thierry Hasbroucq ◽  
Camille Possama?? ◽  
Olivier Blin
Keyword(s):  
Reaction Time ◽  
Healthy Volunteers ◽  
Choice Reaction Time ◽  
Subjective Evaluation ◽  
Time Test ◽  
Reaction Time Test

scholarly journals Comparison of gait speed reserve, usual gait speed, and maximum gait speed of adults aged 50+ in Ireland using explainable machine learning

2021 ◽  
Author(s):  
James R.C. Davis ◽  
Silvin P. Knight ◽  
Orna A. Donoghue ◽  
Belinda Hernández ◽  
Rose Anne Kenny ◽  
...  
Keyword(s):  
Machine Learning ◽  
Reaction Time ◽  
Grip Strength ◽  
Choice Reaction Time ◽  
Gait Speed ◽  
Orthostatic Intolerance ◽  
Motor Reaction ◽  
Motor Reaction Time ◽  
Time Test ◽  
Reaction Time Test

Gait speed is a measure of general fitness. Changing from usual (UGS) to maximum (MGS) gait speed requires a general effort across many body systems. The difference, MGS − UGS, is defined as gait speed reserve (GSR). In the present study, using 3925 participants aged 50+ from Wave 3 of The Irish Longitudinal Study on Ageing (TILDA), we used a gradient boosted trees-based stepwise feature selection pipeline for the discovery of clinically relevant predictors of GSR, UGS, and MGS using a shortlist of 88 features across 5 categories (socio-demographics/anthropometrics/medical history; cardiovascular system; physical strength; sensory; and cognitive/psychological). The TreeSHAP explainable machine learning package was used to analyse the input-output relationships of the three models. The mean R2adj (SD) from 5-fold cross validation on training data and the R2adj score on test data for the models are: 0.38 (0.04) and 0.41 for UGS; 0.45 (0.04) and 0.46 for MGS; and 0.19 (0.02) and 0.21 for GSR. Features selected for the UGS model were: age, chair stands time, body mass index, grip strength, number of medications, resting state pulse interval, mean motor reaction time in the choice reaction time test, height, depression score, sit-to-stand difference in diastolic blood pressure, and left visual acuity. The features selected for the MGS model were: age, grip strength, repeated chair stands time, body mass index, education, mean motor reaction time in the choice reaction time test, number of medications, height, the standard deviation of the mean reaction time in the sustained attention to response task, mean heart rate at resting state, fear of falling, MOCA errors, orthostatic intolerance during active stand, smoking status, total heart beat power during paced breathing, the root mean square of successive differences between heartbeats during paced breathing, and visual acuity. Finally, the features chosen for the GSR model were: mean motor reaction time in the choice reaction time test, grip strength, education, chair stands time, MOCA errors, accuracy proportion in the sound induced flash illusion (two beeps and one flash with stimulus-onset asynchrony of +150 ms), fear of falling, height, age, sex, orthostatic intolerance, MMSE errors, and number of cardiovascular conditions. MGS and UGS were more explainable than GSR. All three models contain features from all five categories. There were common features to all three models (age, grip strength, chair stands time, mean motor reaction time in the choice reaction time test, and height), but also some features unique to each of them. Overall, findings on all three models were clinically plausible and support a network physiology approach to the understanding of predictors of performance-based tasks. By employing an explainable machine learning technique, our observations may help clinicians gain new insights into the multisystem predictors of gait speed and gait speed reserve in older adults.

Acceptable Levels of Tonal and Broad-Band Repetitive and Continuous Sounds during the Performance of Nonauditory Tasks

1995 ◽  
Vol 81 (3) ◽  
pp. 803-816 ◽  
Author(s):  
Ulf Landström ◽  
Anders Kjellberg ◽  
Marianne Byström
Keyword(s):  
Reaction Time ◽  
Sound Pressure ◽  
Broad Band ◽  
Reaction Time Task ◽  
Simple Reaction Time Task ◽  
Reasoning Test ◽  
Band Noise ◽  
Time Test ◽  
The Difference ◽  
Reaction Time Test

Three groups of 24 subjects were exposed to a 1000–Hz tone or broad band noise in a sound chamber. During the exposures subjects were engaged in an easy reaction time test or a difficult grammatical reasoning test. For each exposure and work subjects adjusted the noise to a tolerance level defined by its interference with task performance. During the simple reaction-time task significantly higher sound-pressure levels were accepted than during the reasoning test. At the tonal exposure, much lower levels were accepted than during the exposure to broad-band noise. For continuous sound exposures much higher levels were accepted than for noncontinuous exposures. For tonal exposures the difference was approximately 5 dB, for the broad-band exposures approximately 9 dB. In a separate study the effects of the noncontinuity of the noise and pauses were analysed. The raised annoying effect of the noncontinuous noise was not more affected by the noncontinuity of the noise periods than by the noncontinuity of the pauses. The results imply that the annoying reactions to the sound will be increased for repetitive noise and that the reaction is highly influenced by the over-all noncontinuity of the exposure.

A mathematical model of performance on a simple reaction time test

1996 ◽  
Vol 18 (5) ◽  
pp. 587-593 ◽  
Author(s):  
Edward F. Krieg ◽  
David W. Chrislip ◽  
John M. Russo
Keyword(s):  
Mathematical Model ◽  
Reaction Time ◽  
Simple Reaction Time ◽  
Simple Reaction ◽  
Time Test ◽  
Reaction Time Test
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