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For: di Biase L, Di Santo A, Caminiti ML, De Liso A, Shah SA, Ricci L, Di Lazzaro V. Gait Analysis in Parkinson's Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring. Sensors (Basel) 2020;20:E3529. [PMID: 32580330 DOI: 10.3390/s20123529] [Cited by in Crossref: 12] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Loh HW, Hong W, Ooi CP, Chakraborty S, Barua PD, Deo RC, Soar J, Palmer EE, Acharya UR. Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021). Sensors (Basel) 2021;21:7034. [PMID: 34770340 DOI: 10.3390/s21217034] [Reference Citation Analysis]
2 Rojas-valenzuela I, Valenzuela O, Delgado-marquez E, Rojas F. Multi-Class Classifier in Parkinson’s Disease Using an Evolutionary Multi-Objective Optimization Algorithm. Applied Sciences 2022;12:3048. [DOI: 10.3390/app12063048] [Reference Citation Analysis]
3 Ghislieri M, Agostini V, Rizzi L, Knaflitz M, Lanotte M. Atypical Gait Cycles in Parkinson's Disease. Sensors (Basel) 2021;21:5079. [PMID: 34372315 DOI: 10.3390/s21155079] [Reference Citation Analysis]
4 di Biase L, Tinkhauser G, Martin Moraud E, Caminiti ML, Pecoraro PM, Di Lazzaro V. Adaptive, personalized closed-loop therapy for Parkinson's disease: biochemical, neurophysiological, and wearable sensing systems. Expert Rev Neurother 2021;:1-18. [PMID: 34736368 DOI: 10.1080/14737175.2021.2000392] [Reference Citation Analysis]
5 Moro M, Marchesi G, Hesse F, Odone F, Casadio M. Markerless vs. Marker-Based Gait Analysis: A Proof of Concept Study. Sensors 2022;22:2011. [DOI: 10.3390/s22052011] [Reference Citation Analysis]
6 Loh HW, Ooi CP, Palmer E, Barua PD, Dogan S, Tuncer T, Baygin M, Acharya UR. GaborPDNet: Gabor Transformation and Deep Neural Network for Parkinson’s Disease Detection Using EEG Signals. Electronics 2021;10:1740. [DOI: 10.3390/electronics10141740] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
7 Khobkhun F, Suwannarat J, Pheungphrarattanatrai A, Niemrungruang K, Techataweesub S, Khacharoen S, Ajjimaporn A, Srivanitchapoom P, Richards J. The Effects of a 10-Week Home-Based Exercise Programme in Individuals with Parkinson’s Disease during the COVID-19 Pandemic: A Pilot Study. Applied Sciences 2021;11:4518. [DOI: 10.3390/app11104518] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
8 Low WS, Chan CK, Chuah JH, Tee YK, Hum YC, Salim MIM, Lai KW. A Review of Machine Learning Network in Human Motion Biomechanics. J Grid Computing 2022;20. [DOI: 10.1007/s10723-021-09595-7] [Reference Citation Analysis]
9 Kostikis N, Rigas G, Konitsiotis S, Fotiadis DI. Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson's Disease. Sensors (Basel) 2021;21:7801. [PMID: 34883805 DOI: 10.3390/s21237801] [Reference Citation Analysis]
10 Amboni M, Ricciardi C, Picillo M, De Santis C, Ricciardelli G, Abate F, Tepedino MF, D'Addio G, Cesarelli G, Volpe G, Calabrese MC, Cesarelli M, Barone P. Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages. Sci Rep 2021;11:9297. [PMID: 33927317 DOI: 10.1038/s41598-021-88877-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
11 Espinosa-Moyano I, Reina-Bueno M, Palomo-Toucedo IC, González-López JR, Castillo-López JM, Domínguez-Maldonado G. Study of the Distortion of the Indirect Angular Measurements of the Calcaneus Due to Perspective: In Vitro Testing. Sensors (Basel) 2021;21:2585. [PMID: 33917016 DOI: 10.3390/s21082585] [Reference Citation Analysis]
12 Gondo E, Mikawa S, Hayashi A. Using a Portable Gait Rhythmogram to Examine the Effect of Music Therapy on Parkinson's Disease-Related Gait Disturbance. Sensors (Basel) 2021;21:8321. [PMID: 34960415 DOI: 10.3390/s21248321] [Reference Citation Analysis]
13 Rupprechter S, Morinan G, Peng Y, Foltynie T, Sibley K, Weil RS, Leyland LA, Baig F, Morgante F, Gilron R, Wilt R, Starr P, Hauser RA, O'Keeffe J. A Clinically Interpretable Computer-Vision Based Method for Quantifying Gait in Parkinson's Disease. Sensors (Basel) 2021;21:5437. [PMID: 34450879 DOI: 10.3390/s21165437] [Reference Citation Analysis]
14 Drăgulinescu A, Drăgulinescu AM, Zincă G, Bucur D, Feieș V, Neagu DM. Smart Socks and In-Shoe Systems: State-of-the-Art for Two Popular Technologies for Foot Motion Analysis, Sports, and Medical Applications. Sensors (Basel) 2020;20:E4316. [PMID: 32748872 DOI: 10.3390/s20154316] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]