Lung volume for initiation of phonation

Hoshiko, Michael S.

doi:10.1152/jappl.1965.20.3.480

Cited by 12 publications

(11 citation statements)

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“…and 16.8% for the deaf group. These values agree satisfactorily with 17.5% reported by Hoshiko [1965] and 13.2% by Hoshiko and Blockcolsky [1967] for their normal male subjects. The Mann-Whitncy U test [Siegel, 1956] percent of VC between the normal-hearing and deaf groups.…”

Section: Respiratory Characteristics Associated With Quiet Breathing supporting

confidence: 89%

Selected Aerodynamic Characteristics of Deaf Individuals during Various Speech and Nonspeech Tasks

Itoh¹,

Horii²,

Daniloff³

et al. 1982

Folia Phoniatr Logop

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Section: Respiratory Characteristics Associated With Quiet Breathing supporting

confidence: 89%

Selected Aerodynamic Characteristics of Deaf Individuals during Various Speech and Nonspeech Tasks

Itoh¹,

Horii²,

Daniloff³

et al. 1982

Folia Phoniatr Logop

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“…• Normal speech. The equation for ER q in (13) needs to be modified in a similar way as (15), replacing the droplet volume concentration C d with the value for normal speech in (14) and we take as tidal volume the value V T = 600 cm 3 , roughly 10 % larger than the average rest value [118,119]. To incorporate the timing we replace N (vp) with a number count of breaths coinciding with a given percentage of an hour interval spent on continuously speaking in a given indoor environmant.…”

Section: Infective Quantamentioning

confidence: 99%

“…As mentioned in section 3, higher powered devices associated with DTL vaping tend to increase ECA droplet sizes and diameters [26, 22] but it is not certain if this applies to respiratory droplets. However, as mentioned in section 7, speech involves droplet generating mechanisms that are distinct from those of breathing [91, 84, 82], resulting in higher rate of droplet emission even with a tidal volume only slightly larger than the breathing rest value of 400 − 600 cm 3 [114, 115]. Thus, we have two plausible options to account for a higher total volume of exhaled droplets 𝒱 d = V T 𝒞 d : it may follow simply from a larger V T with the same value 𝒞 d = 3 × 10 −3 mL / m 3 of low intensity vaping, or we might assume the larger value of C d for normal speech in (12).…”

Section: A Simplified Risk Modelmentioning

confidence: 99%

Modeling aerial transmission of pathogens (including the SARS-CoV-2 virus) through aerosol emissions from e-cigarettes

Sussman¹,

Golberstein²,

Polosa

2020

Preprint

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We examine the plausibility, scope and risks of aerial transmission of pathogens (including the SARS-CoV-2 virus) through respiratory droplets carried by exhaled e–cigarette aerosol (ECA). Observational and laboratory data suggests considering cigarette smoking and mouth breathing through a mouthpiece as convenient proxies to infer the respiratory mechanics and droplets sizes and their rate of emission that should result from vaping. We model exhaled ECA flow as an intermittent turbulent jet evolving into an unstable puff, estimating for low intensity vaping (practiced by 80-90% of vapers) ECA expirations the emission of 2-230 respiratory submicron droplets per puff a horizontal distance spread of 1-2 meters, with intense vaping possibly carrying hundreds and up to 1000 droplets per puff in the submicron range a distance spread over 2 meters. Bystanders exposed to low intensity expirations from an infectious vaper in indoor spaces (home and restaurant scenarios) face a 1% increase of risk with respect to a “control case” scenario defined by exclusively rest breathing without vaping. This relative added risk becomes 5−17% for high intensity vaping, 40 − 90% and over 200% for speaking or coughing (without vaping). We estimate that disinfectant properties of glycols in ECA are unlikely to act efficiently on pathogens carried by vaping expirations under realistic conditions.

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“…The breath requirements for speech production are not quite different from those required for life purposes. Approximately 50 percent of vital capacity is inhaled for speech purposes, it concludes that if the breathing behaviour of the individual is within normal broad limits and is sufficiently deep for life purposes, it ought to be perfectly adequate for speech purposes [2]. By comparing children's and adult's respiratory behaviour during speech task found that, at loud intensity, adults used a higher percentage of their vital capacity than the children [3].…”

Section: Introducrtionmentioning

confidence: 99%

Pulmonary Function Test of Forced Vital Capacity and Slow Vital Capacity Using Spirometry in Young Adults With Respect to Body Mass Index: A Normative Study

Anthraper¹,

Roy²

2020

IJISRT

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Objectives: To determine the effect of Age, Gender and its correlation on pulmonary functions of Forced Vital Capacity and Slow Vital Capacity in Group I (18-24 years) and Group II (25-30 years) with respect to Body Mass Index.  Methodology: Sixty healthy adults between 18-30 years were included in the study. Participants were subdivided into Group I (18 to 24 years) and Group II (25 to 30 years) each group having 15 males and 15 females. The parameters considered were expiratory reserve volume, tidal volume, inspiratory capacity, forced vital capacity and slow vital capacity. Spirometer RMS HELIOS 401 was used. Procedures were explained to each participant; best values from 3 maneuvers were documented and were subjected to analysis.  Results: It is noticed a significant difference in various parameters of pulmonary function. As age increases there was an increase in body mass index and the lung volume also increased. Overall males had higher pulmonary function compared to females, males in Group II (25-30 years) was better compared to males in Group I (18-24 years). With an increase in body mass index, pulmonary function was increased in males compared to females. Age, gender, age, and gender interaction effect with respect to Body Mass Index was seen.  Conclusion: Values obtained can be used as reference standard for estimation of lung volume for age group 18-30 years. In future, Spirometry can be used as a clinical assessment and management tool in the field of speech language pathology, by modifying respiratory patterns to control lung volumes, phonations and the flow of speech.

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Lung volume for initiation of phonation

Cited by 12 publications

References 0 publications

Selected Aerodynamic Characteristics of Deaf Individuals during Various Speech and Nonspeech Tasks

Selected Aerodynamic Characteristics of Deaf Individuals during Various Speech and Nonspeech Tasks

Modeling aerial transmission of pathogens (including the SARS-CoV-2 virus) through aerosol emissions from e-cigarettes

Pulmonary Function Test of Forced Vital Capacity and Slow Vital Capacity Using Spirometry in Young Adults With Respect to Body Mass Index: A Normative Study

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