97 research outputs found

    The Basis of Sensation

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    Adrian, E.D. The basis of sensation. London: W.W. Norton & Co., 1928 The author summarizes work that has been in progress for the last two years under the following headings: the function of the nerve fiber, the recording of impulses in sensory nerve fibers, the mechanism of the end organ, sensory discharges from various types of receptor, the efficiency of the sense organs (adaptation), and nervous impulses and sensation. Most of the work was carried out with a capillary electrometer plus a three or four-valve amplifier. Brief descriptions are given of the apparatus. Records have been made of the discharge of sensory impulses produced by the following stimuli: tension on a muscle, pressure, touch, movement of hairs, and pricking with a needlepoint. With constant stimulation, the discharge from the end organs in the skin declines in frequency much more rapidly than from a muscle or a pressure organ. This difference in the adaptation rate of the end organs corresponds with the different types of reflex action which they produce, and the end organs may be classified, like the reflexes, as \u27postural\u27 or \u27phasic.\u27 The impulses produced by a pain stimulus are of the usual type and have the usual range of frequency, but there is some evidence that the discharge must have a certain mass (duration and intensity) if it is to evoke the pain reaction. The central nervous system (whose fibers carry impulses of the usual type) derives all of its information concerning the stimulus applied to a single end-organ from the rate at which the end organ becomes adapted to a constant stimulus. The intensity of sensation is proportional to the frequency of impulses in the nerve fiber. Sensation quality depends upon central connections. Visual adaptation and protopathic and epicritic sensitivity are discussed. 31 figures, but no bibliography. -PsycINFO Database Record (c) 2016 APA, all rights reservedhttps://digitalcommons.rockefeller.edu/jason-brown-library/1039/thumbnail.jp

    Flexible dry electrode for recording surface electromyogram

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    A new type of flexible dry electrode is examined for its suitable for surface electromyography (SEMG). SEMG signals were collected from the both biceps of a subject, using the dry electrodes and standard AgAgCl electrodes, during three tasks: 1) rest, 2) an isometric contraction, and 3) a dynamic contraction. Signal quality indices (signal-to-motion artifact ratio, maximumto- minimum drop in power ratio, signal to noise ratio, and power spectrum deformation) were computed to assess the SEMG. Results show that the dry electrodes can acquire SEMG signals that are nearly indistinguishable from the SEMG signals acquired using the AgAgCl electrodes. The dry electrodes did appear to exhibit a slightly high susceptibility to motion artifact; however, the motion artifact remained below 10 Hz, which can be filtered out for most SEMG applications

    Surface electromyographic signals using a dry electrode

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    A new flexible, dry electrode is examined for recording surface electromyographic signals and compared to a conventional Ag/AgCl electrode. A suitable dry electrode would enable practical implementation of wearable mobility monitoring systems. Results from a preliminary experiment are presented in this paper. Measurements were performed on the right tibialis anterior during a series of small and large contractions. The effects of skin preparation, which included shaving and cleaning with isopropyl alcohol, are also examined. Results show that the dry electrode is sensitive enough to detect the small, unloaded muscle contractions. The dry electrode signal strength was similar to the Ag/AgCl electrode; however, the noise level was higher by approximately 13.5±1.3 %. Skin preparation reduced the noise level by approximately 7.9% for the dry electrodes and 8.1% for the Ag/AgCl electrodes

    Wearable EMG analysis for Rehabilitation (WEAR) - Surface electromyography in clinical gait analysis

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    This paper presents a new wearable electromyography (EMG) monitoring approach for gait analysis known as the Wearable EMG Analysis for Rehabilitation (WEAR) system. Conventional EMG acquisition uses single electrode pairs positioned above the muscle of interest, based on anatomical measurements. WEAR employs a dry electrode array, integrated in a wearable sleeve, which is quicker and easier to apply than the electrodes in a conventional system. An optimal electrode pair is automatically selected from the array, thus saving time and inherent cost. The WEAR system will be tested on 10 able-bodied subjects for intra-system repeatability, as well as direct comparison to outcomes from conventional surface EMG tests on the same set of participants
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