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Nair NP, Sharma V, Dixit A, Kaushal D, Soni K, Choudhury B, Goyal A. Future Solutions for Voice Rehabilitation in Laryngectomees: A Review of Technologies Based on Electrophysiological Signals. Indian J Otolaryngol Head Neck Surg 2022; 74:5082-5090. [PMID: 36742837 PMCID: PMC9895460 DOI: 10.1007/s12070-021-02765-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 07/11/2021] [Indexed: 02/07/2023] Open
Abstract
Loss of voice is a serious concern for a laryngectomee which should be addressed prior to planning the procedure. Voice rehabilitation options must be educated before the surgery. Even though many devices have been in use, each device has got its limitations. We are searching for probable future technologies for voice rehabilitation in laryngectomees and to familiarise with the ENT fraternity. We performed a bibliographic search using title/abstract searches and Medical Subject Headings (MeSHs) where appropriate, of the Medline, CINAHL, EMBASE, Web of Science and Google scholars for publications from January 1985 to January 2020. The obtained results with scope for the development of a device for speech rehabilitation were included in the review. A total of 1036 articles were identified and screened. After careful scrutining 40 articles have been included in this study. Silent speech interface is one of the topics which is extensively being studied. It is based on various electrophysiological biosignals like non-audible murmur, electromyography, ultrasound characteristics of vocal folds and optical imaging of lips and tongue, electro articulography and electroencephalography. Electromyographic signals have been studied in laryngectomised patients. Silent speech interface may be the answer for the future of voice rehabilitation in laryngectomees. However, all these technologies are in their primitive stages and are potential in conforming into a speech device.
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Affiliation(s)
| | - Vidhu Sharma
- Department of Otorhinolaryngology, AIIMS, Jodhpur, Rajasthan 342005 India
| | - Abhinav Dixit
- Department of Physiology, AIIMS, Jodhpur, Rajasthan 342005 India
| | - Darwin Kaushal
- Department of Otorhinolaryngology, AIIMS, Bilaspur, Himachal Pradesh India
| | - Kapil Soni
- Department of Otorhinolaryngology, AIIMS, Jodhpur, Rajasthan 342005 India
| | - Bikram Choudhury
- Department of Otorhinolaryngology, AIIMS, Jodhpur, Rajasthan 342005 India
| | - Amit Goyal
- Department of Otorhinolaryngology, AIIMS, Jodhpur, Rajasthan 342005 India
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Masapollo M, Wayland R, Goel J, Sengupta R, Shamsi A, Hegland KW. An investigation of interference between electromagnetic articulography and electroglottography. JASA EXPRESS LETTERS 2022; 2:095204. [PMID: 36182347 DOI: 10.1121/10.0014033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The present study tested whether there is cross-interference between electromagnetic articulography (EMA) and electroglottography (EGG) during the acquisition of kinematic speech data. In experiments 1A and 1B, EMA sensors were calibrated with and without EGG electrodes present in the EMA field. In experiment 2, EMA was used to record lip, tongue, and jaw movements for one male speaker and one female speaker, with and without simultaneous EGG recording. Collectively, the results provide no evidence of signal artifacts in either direction, suggesting that EMA and EGG technology can be combined to reliably assess laryngeal and supralaryngeal motor coordination in speech.
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Affiliation(s)
- Matthew Masapollo
- Department of Speech, Language, and Hearing Sciences, University of Florida, 1225 Center Drive, Room 2150, Gainesville, Florida 32610, USA
| | - Ratree Wayland
- Department of Linguistics, University of Florida, 4131 Turlington Hall, P.O. Box 115454, Gainesville, Florida 32611, USA
| | - Jessica Goel
- Department of Biomedical Engineering, University of Florida, 1275 Center Drive, Biomedical Sciences Building, Gainesville, Florida 32611, USA
| | - Rahul Sengupta
- Department of Computer & Information Science & Engineering, University of Florida, E301 CSE Building, P.O. Box 116120, Gainesville, Florida 32611, USA , , , , ,
| | - Allen Shamsi
- Department of Linguistics, University of Florida, 4131 Turlington Hall, P.O. Box 115454, Gainesville, Florida 32611, USA
| | - Karen W Hegland
- Department of Speech, Language, and Hearing Sciences, University of Florida, 1225 Center Drive, Room 2150, Gainesville, Florida 32610, USA
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Measurement of Tongue Tip Velocity from Real-Time MRI and Phase-Contrast Cine-MRI in Consonant Production. J Imaging 2020; 6:jimaging6050031. [PMID: 34460733 PMCID: PMC8321019 DOI: 10.3390/jimaging6050031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 04/30/2020] [Accepted: 05/06/2020] [Indexed: 11/17/2022] Open
Abstract
We evaluate velocity of the tongue tip with magnetic resonance imaging (MRI) using two independent approaches. The first one consists in acquisition with a real-time technique in the mid-sagittal plane. Tracking of the tongue tip manually and with a computer vision method allows its trajectory to be found and the velocity to be calculated as the derivative of the coordinate. We also propose to use another approach—phase contrast MRI—which enables velocities of the moving tissues to be measured directly. We recorded the sound simultaneously with the MR acquisition which enabled us to make conclusions regarding the relation between the movements and the sound. We acquired the data from two French-speaking subjects articulating /tata/. The results of both methods are in qualitative agreement and are consistent with other reviewer techniques used for evaluation of the tongue tip velocity.
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