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Tactile discrimination is the ability to differentiate information through the sense of touch. The somatosensory system is the nervous system pathway that is responsible for this essential survival ability used in adaptation. [1] There are various types of tactile discrimination.
Two-point discrimination (2PD) is the ability to discern that two nearby objects touching the skin are truly two distinct points, not one.It is often tested with two sharp points during a neurological examination [1]: 632 [2]: 71 and is assumed to reflect how finely innervated an area of skin is.
Graphesthesia is the ability to recognize writing on the skin purely by the sensation of touch. Its name derives from Greek graphē ("writing") and aisthēsis ("perception"). Graphesthesia tests combined cortical sensation; therefore, it is necessary that primary sensation be intact.
Astereognosis (or tactile agnosia if only one hand is affected) is the inability to identify an object by active touch of the hands without other sensory input, such as visual or sensory information. An individual with astereognosis is unable to identify objects by handling them, despite intact elementary tactile, proprioceptive, and thermal ...
Haptic perception (Greek: haptόs "palpable", haptikόs "suitable for touch") means literally the ability "to grasp something", and is also known as stereognosis. Perception in this case is achieved through the active exploration of surfaces and objects by a moving subject, as opposed to passive contact by a static subject during tactile perception. [1]
Barognosis, or baresthesia, is the ability to evaluate the weight of objects, or to differentiate objects of different weights, by holding or lifting them. [1] [2] It is the opposite of abarognosis, the inability to evaluate the weight of objects.
One of the most used models to analyze MTMM data is the True Score model proposed by Saris and Andrews ([7]). The True Score model can be expressed using the following standardized equations: 1) Y ij = r ij TS ij + e ij * where: Y ij is the standardized observed variable measured with the i th trait and j th method.
The individual's total number-correct score is not the actual score, but is rather based on the IRFs, leading to a weighted score when the model contains item discrimination parameters. It is actually obtained by multiplying the item response function for each item to obtain a likelihood function , the highest point of which is the maximum ...