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Browsing by Subject "Reaction time"
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Item Patients Generally May Return to Driving 4 Weeks After Hip Arthroscopy and 6 Weeks After Knee Arthroscopy: A Systematic Review and Meta-analysis(Elsevier, 2021-10-06) Palma, Samantha; Giannoudis, Vasileios; Patel, Purva; Palan, Jeya; Guy, Stephen; Pandit, Hemant; Van Duren, Bernard; Medicine, School of MedicinePurpose: To consolidate the evidence from the available literature and undertake a meta-analysis to provide a reference for physicians to make evidence-based recommendations to their patients regarding the return to driving after hip or knee arthroscopic procedures. Methods: A systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The OVID, Embase, and Cochrane databases were searched through June 2020 for articles containing keywords and/or MeSH (Medical Subject Headings) terms "hip arthroscopy" and "knee arthroscopy" in conjunction with "total brake response time" or "reaction time" in the context of automobile driving. A title review and full article review were performed to assess quality and select relevant articles. A meta-analysis of qualifying articles was undertaken. Results: Eight studies met the inclusion criteria for meta-analysis of brake reaction time (BRT). Meta-analysis of all knee BRTs showed times slower than or equal to baseline BRTs through 5 weeks, with a trend of improving BRTs from 6 to 10 weeks (weeks 8 and 10 were significant, P < .05). Among all hip BRTs, week 2 showed times slower than baseline BRTs, but after week 4, a trend toward faster BRTs was observed through week 8 (week 8 was significant, P < .05). Conclusions: BRTs met baseline or control values and continued to improve after 6 weeks after knee arthroscopy and after 4 weeks after hip arthroscopy. On the basis of these results, it would be safe to recommend a return to driving at 6 weeks after knee arthroscopic procedures and 4 weeks after hip arthroscopic procedures. Clinical relevance: These results can be used by surgeons to base their recommendations on to provide guidance for their patients on the resumption of driving. Although BRT is an important aspect of driving ability, there are additional factors that need to be taken into consideration when making these recommendations, including cessation of opioid analgesics, strength of the surgical limb, and range of motion.Item Recognizing Spoken Words: The Neighborhood Activation Model(Wolters Kluwer, 1998) Luce, Paul A.; Pisoni, David B.; Otolaryngology -- Head and Neck Surgery, School of MedicineObjective: A fundamental problem in the study of human spoken word recognition concerns the structural relations among the sound patterns of words in memory and the effects these relations have on spoken word recognition. In the present investigation, computational and experimental methods were employed to address a number of fundamental issues related to the representation and structural organization of spoken words in the mental lexicon and to lay the groundwork for a model of spoken word recognition. Design: Using a computerized lexicon consisting of transcriptions of 20,000 words, similarity neighborhoods for each of the transcriptions were computed. Among the variables of interest in the computation of the similarity neighborhoods were: 1) the number of words occurring in a neighborhood, 2) the degree of phonetic similarity among the words, and 3) the frequencies of occurrence of the words in the language. The effects of these variables on auditory word recognition were examined in a series of behavioral experiments employing three experimental paradigms: perceptual identification of words in noise, auditory lexical decision, and auditory word naming. Results: The results of each of these experiments demonstrated that the number and nature of words in a similarity neighborhood affect the speed and accuracy of word recognition. A neighborhood probability rule was developed that adequately predicted identification performance. This rule, based on Luce's (1959) choice rule, combines stimulus word intelligibility, neighborhood confusability, and frequency into a single expression. Based on this rule, a model of auditory word recognition, the neighborhood activation model, was proposed. This model describes the effects of similarity neighborhood structure on the process of discriminating among the acoustic-phonetic representations of words in memory. The results of these experiments have important implications for current conceptions of auditory word recognition in normal and hearing impaired populations of children and adults.