Objective To investigate the acoustic characteristics of speech in Parkinson's disease(PD)pa-tients compared to healthy individuals using smartphone-recorded speech,laying the foundation for future intelligent cloud-based PD detection.Methods A total of 81 PD patients and 63 healthy controls were randomly selected to re-cord their speech using Huawei,Xiao mi,and Apple smartphones through the"Active Health"screening app from the National Key R&D Program.Using the Praat library in Python,parameters such as mean fundamental frequen-cy(Mean F0),minimum fundamental frequency(Min F0),maximum fundamental frequency(Max F0),formants(F1,F2,F3,F4),shimmer,noise-to-harmonics ratio(NHR),and jitter were extracted and compared.Results In PD patients,jitter and shimmer were significantly higher in the/ba/,/bi/,/bu/,and/bo/vowels compared to the control group,while Mean F0 and Max F0 was significantly lower in/bi/and/bo/.Min F0 was significantly higher in/bi/and/bu/for PD patients.No significant differences were found in F1,F2,F3,or F4 between PD pa-tients and controls in/ba/,/bi/,/bo/and/bu/.Conclusion Quantitative analysis of smartphone-recorded speech can detect speech changes in PD patients,providing a solid foundation for the development of a cloud-based PD de-tection system.

Objective To investigate the acoustic characteristics of speech in Parkinson's disease(PD)pa-tients compared to healthy individuals using smartphone-recorded speech,laying the foundation for future intelligent cloud-based PD detection.Methods A total of 81 PD patients and 63 healthy controls were randomly selected to re-cord their speech using Huawei,Xiao mi,and Apple smartphones through the"Active Health"screening app from the National Key R&D Program.Using the Praat library in Python,parameters such as mean fundamental frequen-cy(Mean F0),minimum fundamental frequency(Min F0),maximum fundamental frequency(Max F0),formants(F1,F2,F3,F4),shimmer,noise-to-harmonics ratio(NHR),and jitter were extracted and compared.Results In PD patients,jitter and shimmer were significantly higher in the/ba/,/bi/,/bu/,and/bo/vowels compared to the control group,while Mean F0 and Max F0 was significantly lower in/bi/and/bo/.Min F0 was significantly higher in/bi/and/bu/for PD patients.No significant differences were found in F1,F2,F3,or F4 between PD pa-tients and controls in/ba/,/bi/,/bo/and/bu/.Conclusion Quantitative analysis of smartphone-recorded speech can detect speech changes in PD patients,providing a solid foundation for the development of a cloud-based PD de-tection system.

Objective To explore the effect of Lee-Silverman voice treatment (LSVT) on language re-habilitation of dysarthria in Parkinson's disease (PD).Methods A total of 84 patients with PD dysarthria ad-mitted to our hospital from February 2019 to February 2022 were selected as the research objects.According to the random number table method,they were divided into observation group and control group,with 42 cases in each group.The control group received routine speech rehabilitation training,and the observation group re-ceived LSVT for four weeks.The scores of Western Aphasia Battery (WAB) and Aphasia Quotient (AQ) be-fore and after intervention were compared between the two groups,and the differences of electroglottographic parameters such as jitter,F0,shimmer,normalized noise energy (NNE) and harmonic noise ratio (HNR) were compared between the two groups.Results Before intervention,there was no significant difference in WAB scores (listening comprehension,repetition,spontaneous speech,naming) and AQ scores between the two groups (P>0.05).After intervention,the above scores of the two groups were significantly improved,and the observation group was higher than the control group,the difference was statistically significant (P<0.05). Before intervention,the jitter,F0,shimmer,NNE,HNR of vowels "a""i""u" in the two groups were not sta-tistically significant (P>0.05).After intervention,the above-mentioned electroglottic parameters of the two groups were significantly improved.The jitter and NNE of vowels "a""i""u" in the observation group were lower than those in the control group,and the HNR was higher than that in the control group,the differences were statistically significant (P<0.05).Conclusion LSVT can improve the electroglottographic parameters and speech function of patients with PD dysarthria,and the language rehabilitation effect of PD dysarthria is obvious.

Objective To study the mechanism of urinary Kallidinogenase combined with aspirin in treat-ment of acute cerebral infarction. Methods Eighty-six patients with acute cerebral infarction were randomly divid-ed into the observation group(n=43)and the control group(n=43).The observation group was treated with uri-nary Kallidinogenase combined with aspirin,while the control group was treated only with aspirin.Two weeks after the treatment,variables of hemorheology,serum Hcy,hs-CRP,VEGF,IL-6,Cys-C,neurological deficit(NI-HSS)and daily living ability(ADL)were compared between the two groups. Results After treatment,the serum Hcy,hs-CRP,VEGF,Cys-C,IL-6 levels,the NIHSS and ADL in the observation group were significantly better improved than those of the control group(P<0.05).The clinical efficacy in the observation group was significantly higher than that of the control group[95.35%(41/43)vs 74.42%(32/43)](P<0.05).Conclusion Urinary Kal-lidinogenase combined with aspirin is more effective in the treatment of acute cerebral infarction. The mechanism may be related to the early improvements of serum Hcy,hs-CRP,VEGF,Cys-C and IL-6 expression.

In recent years, the relationship between working memory and language comprehension received more and more attention by many researchers, especially those of psychology and pedagogy. This article reviewed the researches on the working memory and language comprehension disorder in aphasia, including the theoretical model of working memory, assessment and brain positioning, etc., and discussed the process of working memory and comprehension disorder in rehabilitation.