analyzing hypertonicities
detecting hypertonicities
hypertonicities present
assessing hypertonicities
hypertonicity levels
hypertonicity changes
hypertonicity readings
hypertonicity data
hypertonicity influence
hypertonicity impact
the research explored the subtle hypertonicities within the patient's speech patterns.
understanding these hypertonicities can help diagnose neurological disorders.
we analyzed the hypertonicities in the recorded conversations for linguistic insights.
the software flagged several unusual hypertonicities in the speaker's voice.
further investigation is needed to determine the cause of the observed hypertonicities.
the therapist used exercises to address the patient's speech hypertonicities.
significant hypertonicities were detected in the child's articulation.
the study focused on identifying and quantifying these subtle hypertonicities.
changes in hypertonicities can indicate stress or emotional distress.
the algorithm detected subtle hypertonicities related to parkinson's disease.
comparing hypertonicities across different languages proved challenging.
analyzing hypertonicities
detecting hypertonicities
hypertonicities present
assessing hypertonicities
hypertonicity levels
hypertonicity changes
hypertonicity readings
hypertonicity data
hypertonicity influence
hypertonicity impact
the research explored the subtle hypertonicities within the patient's speech patterns.
understanding these hypertonicities can help diagnose neurological disorders.
we analyzed the hypertonicities in the recorded conversations for linguistic insights.
the software flagged several unusual hypertonicities in the speaker's voice.
further investigation is needed to determine the cause of the observed hypertonicities.
the therapist used exercises to address the patient's speech hypertonicities.
significant hypertonicities were detected in the child's articulation.
the study focused on identifying and quantifying these subtle hypertonicities.
changes in hypertonicities can indicate stress or emotional distress.
the algorithm detected subtle hypertonicities related to parkinson's disease.
comparing hypertonicities across different languages proved challenging.
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