Evaluating the effect of Parkinson's disease on jitter and shimmer speech features

The Age of the Meta-Doctor: Diagnosing Parkinson’s Disease with Artificial Intelligence and Speech

“…PET tracks membrane dopamine transporter, or DAT, allowing researchers to examine dopaminergic circuits and pathways in the brain (Stoessl et al, 2014). When PET with DAT is performed on patients with Parkinson's disease, the degradation of dopaminergic projections from the SNc is observed, and as discussed previously in this paper, this degradation leaves the individual unable to control movement (Akbarzadeh-t et al, 2021;Beitz, 2014;Chen et al, 2019;Stoessl et al, 2014). Moreover, the patient may also show cognitive and behavioral changes (Beitz, 2014).…”

“…It is common for patients with PD to have dysarthria-impaired speech-and dysphonia-impaired "production of vocal sounds" (Little et al, 2009). The muscles that control speech cannot be controlled properly due to basal ganglia dysfunction, resulting in more sluggish, unintelligible speech (Akbarzadeh-t et al, 2021). In order to analyze this speech, researchers extract acoustic features like jitter, shimmer, and fundamental frequency from speech samples of PD patients and regular patients (Akbarzadeh-t et al, 2021;Little et al, 2009).…”

“…The muscles that control speech cannot be controlled properly due to basal ganglia dysfunction, resulting in more sluggish, unintelligible speech (Akbarzadeh-t et al, 2021). In order to analyze this speech, researchers extract acoustic features like jitter, shimmer, and fundamental frequency from speech samples of PD patients and regular patients (Akbarzadeh-t et al, 2021;Little et al, 2009). Researchers typically record the patients saying the vowel /a/ and extract data for computer algorithms (Akbarzadeh-t et al, 2021).…”

“…In order to analyze this speech, researchers extract acoustic features like jitter, shimmer, and fundamental frequency from speech samples of PD patients and regular patients (Akbarzadeh-t et al, 2021;Little et al, 2009). Researchers typically record the patients saying the vowel /a/ and extract data for computer algorithms (Akbarzadeh-t et al, 2021). This paper will focus on using such data to create an AI model that detects patterns in speech for a PD diagnosis.…”

Computerized analysis of hypomimia and hypokinetic dysarthria for improved diagnosis of Parkinson's disease

“…In the exercise with the pronunciation of vowels ‘i’, ‘e’, and ‘u’, we identified shimmer (TSK15, TSK17) and jitter (TSK14) to be negatively correlated. Nonetheless, when taking care of gender, the higher values are represented by men patient's than HC likewise lower values have women with PD than HC [114] . One explanation of this could be that the regression out was used when the influence of age and gender was removed from data in our case.…”