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[PDF] Top 20 Automatic speech analysis for early Alzheimer's disease diagnosis

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Automatic speech analysis for early Alzheimer's disease diagnosis

Automatic speech analysis for early Alzheimer's disease diagnosis

... From early stages to severe cases of AD, the symptoms include decline in surrounding awareness, lack of interest for unfamiliar subjects, increase of distractions, and so on ...AD diagnosis is done ... Voir le document complet

4

On the early diagnosis of Alzheimer's Disease from  multimodal signals: A survey

On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey

... of analysis [300] ...inconvenience for the patient, using valuable health- care resources, making frequent monitoring unrealistic” [296] and therefore, precluding an early ...), early ... Voir le document complet

30

Combining PET images and neuropsychological test data for automatic diagnosis of Alzheimer’s disease

Combining PET images and neuropsychological test data for automatic diagnosis of Alzheimer’s disease

... the diagnosis of some patients changed to ...first diagnosis) as pertaining to stable MCI or (early) converter, and taking into account the fact that even patients who were stable several years after ... Voir le document complet

8

Palmomental reflex a relevant sign in early Alzheimer's disease diagnosis?

Palmomental reflex a relevant sign in early Alzheimer's disease diagnosis?

... Statistical analysis Clinical signs variables are evaluated as binary ...cases-control analysis 21, 22 . We analyzed the neurological signs at time of diagnosis and two years ...same analysis ... Voir le document complet

18

Multimodal Neuroimaging in Alzheimer's Disease: Early Diagnosis, Physiopathological Mechanisms, and Impact of Lifestyle

Multimodal Neuroimaging in Alzheimer's Disease: Early Diagnosis, Physiopathological Mechanisms, and Impact of Lifestyle

... multifactorial disease resulting from the contribution of, and interaction between, several pathological ...the disease. More specifically, applying the multi- modal analysis methods described above ... Voir le document complet

13

Automatic detection of early stages of Parkinson's disease through acoustic voice analysis with mel-frequency cepstral coefficients

Automatic detection of early stages of Parkinson's disease through acoustic voice analysis with mel-frequency cepstral coefficients

... all for pathological ...and speech recognition: Mel-Frequency Cepstral Coefficients (MFCC), associated with Gaussian Mixtures Models ...estimation. For a decade, MFCC have been used for the ... Voir le document complet

8

On the early diagnosis of Alzheimer's Disease from  multimodal signals: A survey

On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey

... of analysis [300] ...inconvenience for the patient, using valuable health- care resources, making frequent monitoring unrealistic” [296] and therefore, precluding an early ...), early ... Voir le document complet

31

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en fr Magnetic resonance imaging for diagnosis of early Alzheimer's disease L'imagerie par résonance magnétique pour le diagnostic précoce de la maladie d'Alzheimer

... challenge for neuroimaging is to contribute to the early diagnosis of Alzheimer’s disease ...an early stage of the ...image analysis techniques generate automatic and ... Voir le document complet

13

X-Vectors: new quantitative biomarkers for early Parkinson's disease detection from speech

X-Vectors: new quantitative biomarkers for early Parkinson's disease detection from speech

... Center for Neurosciences at the Paris Brain Institute ...a diagnosis of PD, according to the United Kingdom Parkinson’s Disease Society Brain Bank (UKPDSBB) criteria, <4 years prior to the ... Voir le document complet

19

Towards disease-specific speech markers for differential diagnosis in Parkinsonism

Towards disease-specific speech markers for differential diagnosis in Parkinsonism

... Parkinson’s Disease (PD) and Atyp- ical Parkinsonian Syndromes (APS), such as Progressive Supranuclear Palsy (PSP) and Multiple System Atrophy ...in early disease stages is a very challenging ... Voir le document complet

6

Egocentric vision IT technologies for Alzheimer disease assessment and studies

Egocentric vision IT technologies for Alzheimer disease assessment and studies

... maps for different time-shifts ...IT for Alzheimer disease assessment and studies: the egocentric ...allow for objective assessment of patients IADL [3]. The proposed methods for ... Voir le document complet

4

Automatic Assessment of Speech Capability Loss in Disordered Speech

Automatic Assessment of Speech Capability Loss in Disordered Speech

... an automatic technique to assess pronunciation in the context of several types of speech ...of automatic speech recognition, could also detect segmental deviances in disordered ...an ... Voir le document complet

15

Alzheimer’s diseases: towards biomarkers for an early diagnosis

Alzheimer’s diseases: towards biomarkers for an early diagnosis

... used for AD diagnostics in CSF, as recently proposed by an international working group on Alzheimer Disease (NINCDS- ADRA working group) (Dubois et ...available for therapeutic follow-up of ... Voir le document complet

22

Saliva as a non-invasive material for early diagnosis

Saliva as a non-invasive material for early diagnosis

... ENDOCRINOLOGY Endocrinology is one of the fields which widely use salivary-based diagnostic tests. The level of hormones has daily and cyclic fluctuations, thus the methods which allow multiple and non-invasive ... Voir le document complet

6

Automatic refinement of hidden Markov models for speech recognition

Automatic refinement of hidden Markov models for speech recognition

... Before pronunciation network generation was performed, a recognizer equipped with TIMIT-based models was applied to the Susan training sentences and the resulting tra[r] ... Voir le document complet

62

Early Diagnosis of Alzheimer’s Disease Using Subject-Specific Models of FDG-PET Data

Early Diagnosis of Alzheimer’s Disease Using Subject-Specific Models of FDG-PET Data

... from early and late MCI (64% and 82%, respectively) was found to be higher than the balanced accuracy obtained using PET SUVR values (58% and 75%) and the state-of-the-art Z-maps (64% and 78%) as ... Voir le document complet

3

Apathy and executive dysfunction in Alzheimer disease

Apathy and executive dysfunction in Alzheimer disease

... patient?”). For each of the 3 dimensions, the maximum score (frequency of 1 to 4 multiplied by gravity of 1 to 3) is 12, giving a maximum total score of ... Voir le document complet

12

Detecting Apathy in Older Adults with Cognitive Disorders Using Automatic Speech Analysis

Detecting Apathy in Older Adults with Cognitive Disorders Using Automatic Speech Analysis

... methods for apathy rely mostly on scales or interview-based self-reports such as the Apathy Inventory [11] or the Neuropsychiatric Inventory [12], which might not always capture the actual state of a person’s ... Voir le document complet

12

Bayesian models for screening and diagnosis of pulmonary disease

Bayesian models for screening and diagnosis of pulmonary disease

... number for how often breathlessness occurs in COPD patients, the data- derived model uses occurrence rates from real ...probabilities for all possible ... Voir le document complet

107

Automatic Speech Recognition for African Languages with Vowel Length Contrast

Automatic Speech Recognition for African Languages with Vowel Length Contrast

... in speech recognition is concerned, 12 modeled word duration at the acoustic model- ing ...the speech recognition system by rescoring N-best lists with the duration models ...important for the ... Voir le document complet

9

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