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You searched for +publisher:"New Jersey Institute of Technology" +contributor:("Judy Deutsch"). Showing records 1 – 2 of 2 total matches.

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New Jersey Institute of Technology

1. Ranky, Gregory Nicholas. The use of audio stimulation to affect sensorimotor learning.

Degree: PhD, Biomedical Engineering, 2017, New Jersey Institute of Technology

Sensorimotor learning for the hand and fingers can be conducted using both hardware and software components, but the training regime is also important. Using repetitive sequence tapping allows measurement of defined metrics in a controlled, safe environment, and therefore statistical indications for subject improvement. The process of entrainment, when a subject’s own movements synchronize to an external signal, has been tested in prior studies for memorization and recognition, but has not been investigated for correlation with sensorimotor learning. This is tested with selected custom isochronic audio tones, combined with sequential finger tapping on a standard computer keyboard. Whilst there were no significant differences between specific frequencies, testing blocks done during tone conditions show subject improvement in reduced mean sequence times compared to pre-stimulation, with no significant change in subsequent post-stimulation blocks. Advisors/Committee Members: Sergei Adamovich, Judy Deutsch, Gerard G. Fluet.

Subjects/Keywords: Sensorimotor learning; Sequential finger tapping; Upper extremity; Audiovisual entrainment; Isochronic tones; Audio stimulation; Biomedical Engineering and Bioengineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ranky, G. N. (2017). The use of audio stimulation to affect sensorimotor learning. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/39

Chicago Manual of Style (16th Edition):

Ranky, Gregory Nicholas. “The use of audio stimulation to affect sensorimotor learning.” 2017. Doctoral Dissertation, New Jersey Institute of Technology. Accessed February 28, 2021. https://digitalcommons.njit.edu/dissertations/39.

MLA Handbook (7th Edition):

Ranky, Gregory Nicholas. “The use of audio stimulation to affect sensorimotor learning.” 2017. Web. 28 Feb 2021.

Vancouver:

Ranky GN. The use of audio stimulation to affect sensorimotor learning. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2017. [cited 2021 Feb 28]. Available from: https://digitalcommons.njit.edu/dissertations/39.

Council of Science Editors:

Ranky GN. The use of audio stimulation to affect sensorimotor learning. [Doctoral Dissertation]. New Jersey Institute of Technology; 2017. Available from: https://digitalcommons.njit.edu/dissertations/39


New Jersey Institute of Technology

2. Erdogan, Ferhat. Submandibular mechanical stimulation of upper airway muscles to treat obstructive sleep apnea.

Degree: PhD, Biomedical Engineering, 2018, New Jersey Institute of Technology

The extrinsic tongue muscles are activated in coordination with pharyngeal muscles to keep a patent airway during respiration in wakefulness and sleep. The activity of genioglossus, the primary tongue-protruding muscle playing an important role in this coordination, is known to be modulated by several reflex pathways mediated through the mechanoreceptors of the upper airways. The main objective is to investigate the effectiveness of activating these reflex pathways with mechanical stimulations, for the long-term goal of improving the upper airway patency during disordered breathing in sleep. The genioglossus response is examined during mandibular and sub-mandibular mechanical stimulations in healthy subjects during wakefulness. The genioglossus activity is recorded with custom-made sublingual EMG electrode molded out of silicone. Mechanical vibrations are applied to the lower jaw at 8 and 12 Hz with an amplitude of 5 mm in the first experiment, and to the sub-mandibular area at three different intensities (0.2-0.9 mm, 21-33 Hz) in the second experiment. The effects of sub-mandibular mechanical vibrations are also investigated in severe obstructive sleep apnea patients during a whole night sleep study. The major findings of this study are that the genioglossus reflexively responds to the mechanical vibrations applied to the mandible and the sub-mandibular skin surface in healthy subjects during wakefulness and the sub-mandibular stimulations during sleep terminate the apnea earlier and decrease the level of hypoxia with smaller micro arousals. Advisors/Committee Members: Mesut Sahin, Sergei Adamovich, Judy Deutsch.

Subjects/Keywords: Genioglossus; Jaw tongue reflex; Obstructive sleep apnea; Stimulation; Tonic vibration reflex; Upper airway; Bioimaging and Biomedical Optics; Biomedical Engineering and Bioengineering; Neurosciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Erdogan, F. (2018). Submandibular mechanical stimulation of upper airway muscles to treat obstructive sleep apnea. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/1412

Chicago Manual of Style (16th Edition):

Erdogan, Ferhat. “Submandibular mechanical stimulation of upper airway muscles to treat obstructive sleep apnea.” 2018. Doctoral Dissertation, New Jersey Institute of Technology. Accessed February 28, 2021. https://digitalcommons.njit.edu/dissertations/1412.

MLA Handbook (7th Edition):

Erdogan, Ferhat. “Submandibular mechanical stimulation of upper airway muscles to treat obstructive sleep apnea.” 2018. Web. 28 Feb 2021.

Vancouver:

Erdogan F. Submandibular mechanical stimulation of upper airway muscles to treat obstructive sleep apnea. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2018. [cited 2021 Feb 28]. Available from: https://digitalcommons.njit.edu/dissertations/1412.

Council of Science Editors:

Erdogan F. Submandibular mechanical stimulation of upper airway muscles to treat obstructive sleep apnea. [Doctoral Dissertation]. New Jersey Institute of Technology; 2018. Available from: https://digitalcommons.njit.edu/dissertations/1412

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