Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclear Palsy Phenotypes-Reference-Cited by-同舟云学术

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Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclear Palsy Phenotypes

Published:2023-10-25 Issue: Volume:8 Page:864-869
ISSN:
Container-title:2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Pisani Noemi¹,Ricciardi Carlo²,Picillo Marina²,Abate Filomena³,Avallone Anna Rosa³,Amato Francesco³,Cesarelli Mario⁴

Affiliation:

1. University of Naples Federico II,Department of Advanced Biomedical Sciences,Napoli,Italy,80131

2. University of Naples Federico II,Department of Electrical Engineering and Information Technologies,Napoli,Italy,80125

3. Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno,Department of Medicine,Baronissi,SA,Italy,84081

4. Univeristy of Sannio,Department of Engineering,Benevento,Italy,82100

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10405419/10405547/10405782.pdf?arnumber=10405782

Reference44 articles.

1. Progressive Supranuclear Palsy

2. Clinical research criteria for the diagnosis of progressive supranuclear palsy (Steele-Richardson-Olszewski syndrome)

3. Characteristics of two distinct clinical phenotypes in pathologically proven progressive supranuclear palsy: Richardson's syndrome and PSP-parkinsonism

4. Long lasting pure freezing of gait preceding progressive supranuclear palsy: A clinicopathological study

5. Predictors of survival in progressive supranuclear palsy and multiple system atrophy: a systematic review and meta-analysis

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1. The Role of Deep Learning and Gait Analysis in Parkinson’s Disease: A Systematic Review;Sensors;2024-09-13

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