Hodgins J - Search Results

1

Weakly-supervised learning for Parkinson's Disease tremor detection.

Zhang A, Cebulla A, Panev S, Hodgins J, De la Torre F. Zhang A, et al. Among authors: hodgins j. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:143-147. doi: 10.1109/EMBC.2017.8036782. Annu Int Conf IEEE Eng Med Biol Soc. 2017. PMID: 29059830

2

Comparing laboratory and in-the-wild data for continuous Parkinson's Disease tremor detection.

Zhang A, De la Torre F, Hodgins J. Zhang A, et al. Among authors: hodgins j. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5436-5441. doi: 10.1109/EMBC44109.2020.9176255. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33019210

3

Quantitative measurement of motor symptoms in Parkinson's disease: a study with full-body motion capture data.

Das S, Trutoiu L, Murai A, Alcindor D, Oh M, De la Torre F, Hodgins J. Das S, et al. Among authors: hodgins j. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6789-92. doi: 10.1109/IEMBS.2011.6091674. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22255897

4

Detecting Parkinsons' symptoms in uncontrolled home environments: a multiple instance learning approach.

Das S, Amoedo B, De la Torre F, Hodgins J. Das S, et al. Among authors: hodgins j. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3688-91. doi: 10.1109/EMBC.2012.6346767. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23366728

5

Parkinson's Disease Tremor Detection in the Wild Using Wearable Accelerometers.

San-Segundo R, Zhang A, Cebulla A, Panev S, Tabor G, Stebbins K, Massa RE, Whitford A, de la Torre F, Hodgins J. San-Segundo R, et al. Among authors: hodgins j. Sensors (Basel). 2020 Oct 14;20(20):5817. doi: 10.3390/s20205817. Sensors (Basel). 2020. PMID: 33066691 Free PMC article.

6

Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion.

Zhou F, De la Torre F, Hodgins JK. Zhou F, et al. IEEE Trans Pattern Anal Mach Intell. 2013 Mar;35(3):582-96. doi: 10.1109/TPAMI.2012.137. Epub 2012 Jun 26. IEEE Trans Pattern Anal Mach Intell. 2013. PMID: 22732658

7

Analysis of smartphone video footage classifies chest compression rate during simulated CPR.

Frisch A, Das S, Reynolds JC, De la Torre F, Hodgins JK, Carlson JN. Frisch A, et al. Am J Emerg Med. 2014 Sep;32(9):1136-8. doi: 10.1016/j.ajem.2014.05.040. Epub 2014 Jun 2. Am J Emerg Med. 2014. PMID: 24985942 No abstract available.

8

A Novel Artificial Intelligence System for Endotracheal Intubation.

Carlson JN, Das S, De la Torre F, Frisch A, Guyette FX, Hodgins JK, Yealy DM. Carlson JN, et al. Prehosp Emerg Care. 2016 Sep-Oct;20(5):667-71. doi: 10.3109/10903127.2016.1139220. Epub 2016 Mar 17. Prehosp Emerg Care. 2016. PMID: 26986814

9

Motion capture measures variability in laryngoscopic movement during endotracheal intubation: a preliminary report.

Carlson JN, Das S, De la Torre F, Callaway CW, Phrampus PE, Hodgins J. Carlson JN, et al. Among authors: hodgins j. Simul Healthc. 2012 Aug;7(4):255-60. doi: 10.1097/SIH.0b013e318258975a. Simul Healthc. 2012. PMID: 22801254 Free PMC article.

10

Assessment of Movement Patterns during Intubation between Novice and Experienced Providers Using Mobile Sensors: A Preliminary, Proof of Concept Study.

Carlson JN, Das S, Spring S, Frisch A, De la Torre F, Hodgins J. Carlson JN, et al. Among authors: hodgins j. Biomed Res Int. 2015;2015:843078. doi: 10.1155/2015/843078. Epub 2015 Jun 16. Biomed Res Int. 2015. PMID: 26161417 Free PMC article.

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