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V asn identifikace Parkinsonovy nemoci PN v jej m prodrom ln m stadiu m z sadn v znam pro rozvoj neuroprotektivn l by Bohu el v sou astnosti nejsou zn my dn p esn biomarkery prodrom ln PN co br n jej mu v asn mu odhalen Dysfunkce e i se obvykle objevuje v brzk m stadiu PN co nazna uje potenci l pro hodnocen e i u pacient s izolovanou poruchou chov n ve f zi sp nku s rychl mi o n mi pohyby iRBD co je prodrom ln stav PN a PN Tento p stup by mohl slou it jako diagnostick a progresivn biomarker pro PN a p buzn synukleinopatie s mo nost pasivn ho monitorov n na d lku prost ednictv m chytr ch telefon P etrv vaj v ak v zvy jako je v voj spolehliv ch automatizovan ch algoritm pro hodnocen fyziologick ch e ov ch vzorc a zaji t n odolnosti proti patn kvalit mikrofonu nebo umu na pozad Tato studie zahrnuje n kolik v zkum vedouc ch k vyu it chytr ch telefon k zachycen e i jako biomarkeru PN Nejprve byly ustanoveny spolehliv automatizovan metody pro v po et r zn ch fyziologick ch aspekt produkce e i Tyto metody prok zaly deficity v patologick e i zahrnuj c poruchy fonace prozodie asov n e i a artikulace Za druh byla vyvinuta aplikace pro chytr telefony a syst m sb ru dat kter umo uje neinvazivn a eticky nahr vat e subjekt prost ednictv m hovor a aktivn ch loh Nakonec byla pomoc vyvinut ho syst mu provedena pr ezov studie zahrnuj c pacienty s iRBD a PN kter podpo ila vyu it chytr ch telefon k detekci e ov ch abnormalit Tento p stup m e pomoci nejen p i brzk diagnostice ale m tak potenci ln vyu it p i v voji sou asn ch l ebn ch metod pro pacienty diagnostikovan s PN poskytov n zp tn vazby v neuropsychiatrii zm r ov n vedlej ch ink hlubok mozkov stimulace pomoc optimalizace parametr popula n m screeningu a dal ch Early identification of Parkinson s disease PD during its prodromal stage is crucial for the advancement of neuroprotective therapies Unfortunately accurate biomarkers for prodromal PD are lacking hindering early detection Speech dysfunction typically emerges early in PD suggesting potential for vocal assessments in patients with isolated rapid eye movement sleep behavior disorder iRBD a prodromal PD condition and PD This approach could serve as a diagnostic and progressive biomarker for PD and related synucleinopathies with the opportunity of a remote passive monitoring via smartphones However challenges remain such as developing reliable automated algorithms to assess speech features and ensuring robustness against poor microphone quality or background noise The current study encompasses multiple investigations into using smartphones to capture speech as a biomarker for PD Firstly reliable automated methods were established to assess various physiological aspects of speech production These methods demonstrated deficits in pathological utterances including impairments in phonation prosody speech timing and articulation Secondly a smartphone application and data acquisition system were developed to monitor subjects speech unobtrusively through calls and active tasks Finally a cross-sectional study involving iRBD and PD patients was conducted using the developed system supporting the use of smartphones to detect speech abnormalities This approach not only aids in diagnosis but also has potential applications in enhancing current treatment strategies for diagnosed PD patients providing feedback in neuropsychiatry mitigating speech-related side effects of deep brain stimulation through parameter optimization population screening and more

Publication search with Biomarker prodromální synucleinopatie as keyword

Detekce časného stádia Parkinsonovy nemoci pomocí pokročilých metod zpracování signálu / Identification of vocal biomark...

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with Biomarker prodromální synucleinopatie as keyword