Blood Glucose Estimation From Voice: First Review of Successes and Challenges

Sidorova, Julia; Carbonell, Pablo; Čukić, Milena

doi:10.1016/j.jvoice.2020.08.034

Cited by 9 publications

(8 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, there has not been, to our knowledge, a study examining the assessment of relative body weight (body fat / body mass index [BMI]) based on vocal cues and the only one work that vaguely oscillates around the topic investigated the relationship between voice parameters and BMI in patients using the algorithms of artificial intelligence (Lee et al 2013). Nevertheless, there has been a study on the effect of blood glucose levels on voice quality showing that the effect of glucose levels on the elastic properties of the vocal fold tissues (Sidorova et al 2020). This study found an association of hypoglycemia with a sense of anxiety causing faster speech or hyperglycemia affecting slower and slurred speech (Sidorova et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, there has been a study on the effect of blood glucose levels on voice quality showing that the effect of glucose levels on the elastic properties of the vocal fold tissues (Sidorova et al 2020). This study found an association of hypoglycemia with a sense of anxiety causing faster speech or hyperglycemia affecting slower and slurred speech (Sidorova et al 2020). Therefore, since the glucose level is related to voice quality and obesity, it can be expected that people with a higher body fat content should have different voice characteristics compared to people with a normal BMI.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of the obesity based on voice perception

Pawelec

Kierczak

Lipowicz

2023

View full text Add to dashboard Cite

Human voice is an extremely important biological signal which contains information about sex, age, emotional state, health and physical features of a speaker. Estimating a physical appearance from a vocal cue can be an important asset for sciences including forensics and dietetics. Although there have been several studies focused on the relationships between vocal parameters and ratings of height, weight, age and musculature of a speaker, to our knowledge, there has not been a study examining the assessment of one’s BMI based on voice alone. The purpose of the current study was to determine the ability of female “Judges” to evaluate speakers’ (men and women) obesity and body fat distribution from their vocal cues. It has also been checked which voice parameters are key vocal cues in this assessment. The study material consisted of 12 adult speakers’ (6 women) voice recordings assessed by 87 “Judges” based on a 5-point graphic scale presenting body fat level and distribution (separately for men and women). For each speaker body height, weight, BMI, Visceral Fat Level (VFL, InBody 270) and acoustic parameters were measured. In addition, the accuracy of BMI category was verified. This study also aimed to determine which vocal parameters were cues for the assessment for men and women. To achieve it, two independent experiments were conducted: I: “Judges” had to choose one (obese) speaker from 3 voices (in 4 series); II: they were asked to rate body fat level of the same 12 speakers based on 5-point graphic scale. Obese speakers (i.e., BMI above 30) were selected correctly with the accuracy greater than predicted by chance (experiment I). By using a graphic scale, our study found that speakers exhibiting higher BMI were rated as fatter (experiment II). For male speakers the most important vocal predictors of the BMI were harmonics-to-noise ratio (HNR) and formant dispersion (Df); for women: formant spacing (Pf) and intensity (loudness). Human voice contains information about one’s increased BMI level which are hidden in some vocal cues.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of the obesity based on voice perception

Pawelec

Kierczak

Lipowicz

2023

View full text Add to dashboard Cite

show abstract

“…Finally, a frailty measurement tool should not be time consuming to use. On the basis of these criteria, vocal biomarkers might have potential for estimating frailty, as a non-invasive, instantaneous, objective, and cost-effective estimation tool [13].…”

Section: Introductionmentioning

confidence: 99%

“…The human voice reflects several diseases and pathological conditions owing to specific temporary or static changes that occur in the speech production organs or in the brain mechanisms controlling speech [13]. Thus, different acoustic parameters and patterns for diagnostic criteria can be derived from voice, mainly for detecting neurological and psychological conditions [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, different acoustic parameters and patterns for diagnostic criteria can be derived from voice, mainly for detecting neurological and psychological conditions [14][15][16]. Recent studies have identified acoustic features for classifying symptoms according to body constitution [17], estimating lung obstruction [18], predicting adverse clinical outcomes among patients with congestive heart failure [19], and diagnosing diabetes mellitus [13]. However, the frailty syndrome is little discussed in the literature on the aging voice.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predicting frailty in older adults using vocal biomarkers: a cross-sectional study

et al. 2022

View full text Add to dashboard Cite

Background Frailty is a common issue in the aging population. Given that frailty syndrome is little discussed in the literature on the aging voice, the current study aims to examine the relationship between frailty and vocal biomarkers in older people. Methods Participants aged ≥ 60 years visiting geriatric outpatient clinics were recruited. They underwent frailty assessment (Cardiovascular Health Study [CHS] index; Study of Osteoporotic Fractures [SOF] index; and Fatigue, Resistance, Ambulation, Illness, and Loss of weight [FRAIL] index) and were asked to pronounce a sustained vowel /a/ for approximately 1 s. Four voice parameters were assessed: average number of zero crossings (A1), variations in local peaks and valleys (A2), variations in first and second formant frequencies (A3), and spectral energy ratio (A4). Results Among 277 older adults, increased A1 was associated with a lower likelihood of frailty as defined by SOF (odds ratio [OR] 0.84, 95% confidence interval [CI] 0.74–0.96). Participants with larger A2 values were more likely to be frail, as defined by FRAIL and CHS (FRAIL: OR 1.41, 95% CI 1.12–1.79; CHS: OR 1.38, 95% CI 1.10–1.75). Sex differences were observed across the three frailty indices. In male participants, an increase in A3 by 10 points increased the odds of frailty by almost 7% (SOF: OR 1.07, 95% CI 1.02–1.12), 6% (FRAIL: OR 1.06, 95% CI 1.02–1.11), or 6% (CHS: OR 1.06, 95% CI 1.01–1.11). In female participants, an increase in A4 by 0.1 conferred a significant 2.8-fold (SOF: OR 2.81, 95% CI 1.71–4.62), 2.3-fold (FRAIL: OR 2.31, 95% CI 1.45–3.68), or 2.8-fold (CHS: OR 2.82, 95% CI 1.76–4.51, CHS) increased odds of frailty. Conclusions Vocal biomarkers, especially spectral-domain voice parameters, might have potential for estimating frailty, as a non-invasive, instantaneous, objective, and cost-effective estimation tool, and demonstrating sex differences for individualised treatment of frailty.

show abstract

Scoping review of the relationship between diabetes and voice quality

Saghiri

Vakhnovetsky

2022

Diabetes Research and Clinical Practice

View full text Add to dashboard Cite

Blood Glucose Estimation From Voice: First Review of Successes and Challenges

Cited by 9 publications

References 17 publications

Assessment of the obesity based on voice perception

Assessment of the obesity based on voice perception

Predicting frailty in older adults using vocal biomarkers: a cross-sectional study

Scoping review of the relationship between diabetes and voice quality

Contact Info

Product

Resources

About