BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

429 related articles for article (PubMed ID: 28891942)

  • 1. Automatic Classification of Tremor Severity in Parkinson's Disease Using a Wearable Device.
    Jeon H; Lee W; Park H; Lee HJ; Kim SK; Kim HB; Jeon B; Park KS
    Sensors (Basel); 2017 Sep; 17(9):. PubMed ID: 28891942
    [TBL] [Abstract][Full Text] [Related]  

  • 2. High-accuracy automatic classification of Parkinsonian tremor severity using machine learning method.
    Jeon H; Lee W; Park H; Lee HJ; Kim SK; Kim HB; Jeon B; Park KS
    Physiol Meas; 2017 Oct; 38(11):1980-1999. PubMed ID: 28933707
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Validation of Inertial Sensing-Based Wearable Device for Tremor and Bradykinesia Quantification.
    Dai H; Cai G; Lin Z; Wang Z; Ye Q
    IEEE J Biomed Health Inform; 2021 Apr; 25(4):997-1005. PubMed ID: 32750961
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network.
    Kim HB; Lee WW; Kim A; Lee HJ; Park HY; Jeon HS; Kim SK; Jeon B; Park KS
    Comput Biol Med; 2018 Apr; 95():140-146. PubMed ID: 29500984
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improved Parkinsonian tremor quantification based on automatic label modification and SVM with RBF kernel.
    Li Y; Wang Z; Dai H
    Physiol Meas; 2023 Feb; 44(2):. PubMed ID: 36735971
    [No Abstract]   [Full Text] [Related]  

  • 6. Comprehensive analysis of resting tremor based on acceleration signals of patients with Parkinson's disease.
    Liu S; Yuan H; Liu J; Lin H; Yang C; Cai X
    Technol Health Care; 2022; 30(4):895-907. PubMed ID: 34657861
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data.
    Abujrida H; Agu E; Pahlavan K
    Biomed Phys Eng Express; 2020 Mar; 6(3):035005. PubMed ID: 33438650
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using Machine Learning for Predicting the Best Outcomes With Electrical Muscle Stimulation for Tremors in Parkinson's Disease.
    Phokaewvarangkul O; Vateekul P; Wichakam I; Anan C; Bhidayasiri R
    Front Aging Neurosci; 2021; 13():727654. PubMed ID: 34566628
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine Learning-Based Automatic Rating for Cardinal Symptoms of Parkinson Disease.
    Park KW; Lee EJ; Lee JS; Jeong J; Choi N; Jo S; Jung M; Do JY; Kang DW; Lee JG; Chung SJ
    Neurology; 2021 Mar; 96(13):e1761-e1769. PubMed ID: 33568548
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of Parkinson's disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach.
    Moon S; Song HJ; Sharma VD; Lyons KE; Pahwa R; Akinwuntan AE; Devos H
    J Neuroeng Rehabil; 2020 Sep; 17(1):125. PubMed ID: 32917244
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A-WEAR Bracelet for Detection of Hand Tremor and Bradykinesia in Parkinson's Patients.
    Channa A; Ifrim RC; Popescu D; Popescu N
    Sensors (Basel); 2021 Feb; 21(3):. PubMed ID: 33540570
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Role of data measurement characteristics in the accurate detection of Parkinson's disease symptoms using wearable sensors.
    Shawen N; O'Brien MK; Venkatesan S; Lonini L; Simuni T; Hamilton JL; Ghaffari R; Rogers JA; Jayaraman A
    J Neuroeng Rehabil; 2020 Apr; 17(1):52. PubMed ID: 32312287
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Rest tremor quantification based on fuzzy inference systems and wearable sensors.
    Sanchez-Perez LA; Sanchez-Fernandez LP; Shaout A; Martinez-Hernandez JM; Alvarez-Noriega MJ
    Int J Med Inform; 2018 Jun; 114():6-17. PubMed ID: 29673605
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic Assessments of Parkinsonian Gait with Wearable Sensors for Human Assistive Systems.
    Han Y; Liu X; Zhang N; Zhang X; Zhang B; Wang S; Liu T; Yi J
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850705
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hand Resting Tremor Assessment of Healthy and Patients With Parkinson's Disease: An Exploratory Machine Learning Study.
    de Araújo ACA; Santos EGDR; de Sá KSG; Furtado VKT; Santos FA; de Lima RC; Krejcová LV; Santos-Lobato BL; Pinto GHL; Cabral ADS; Belgamo A; Callegari B; Kleiner AFR; Costa E Silva AA; Souza GDS
    Front Bioeng Biotechnol; 2020; 8():778. PubMed ID: 32766223
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine Learning and Wearable Sensors for the Early Detection of Balance Disorders in Parkinson's Disease.
    Castelli Gattinara Di Zubiena F; Menna G; Mileti I; Zampogna A; Asci F; Paoloni M; Suppa A; Del Prete Z; Palermo E
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560278
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and Classification of Parkinsonian and Essential Tremors for Diagnosis Using Machine Learning Algorithms.
    Xing X; Luo N; Li S; Zhou L; Song C; Liu J
    Front Neurosci; 2022; 16():701632. PubMed ID: 35386595
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease.
    Buongiorno D; Bortone I; Cascarano GD; Trotta GF; Brunetti A; Bevilacqua V
    BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 9):243. PubMed ID: 31830986
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements.
    Hssayeni MD; Jimenez-Shahed J; Burack MA; Ghoraani B
    Sensors (Basel); 2019 Sep; 19(19):. PubMed ID: 31569335
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Upper limb motor pre-clinical assessment in Parkinson's disease using machine learning.
    Cavallo F; Moschetti A; Esposito D; Maremmani C; Rovini E
    Parkinsonism Relat Disord; 2019 Jun; 63():111-116. PubMed ID: 30826265
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.