Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2016 2
2017 3
2018 1
2019 1
2020 1
Text availability
Article attribute
Article type
Publication date

Search Results

8 results
Results by year
Filters applied: . Clear all
Page 1
Automatic Extraction and Detection of Characteristic Movement Patterns in Children with ADHD Based on a Convolutional Neural Network (CNN) and Acceleration Images.
Muñoz-Organero M, Powell L, Heller B, Harpin V, Parker J. Muñoz-Organero M, et al. Sensors (Basel). 2018 Nov 14;18(11):3924. doi: 10.3390/s18113924. Sensors (Basel). 2018. PMID: 30441774 Free PMC article.
Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.
Muñoz-Organero M, Powell L, Heller B, Harpin V, Parker J. Muñoz-Organero M, et al. Sensors (Basel). 2019 Jul 3;19(13):2935. doi: 10.3390/s19132935. Sensors (Basel). 2019. PMID: 31277297 Free PMC article.
Assessing Walking Strategies Using Insole Pressure Sensors for Stroke Survivors.
Munoz-Organero M, Parker J, Powell L, Mawson S. Munoz-Organero M, et al. Sensors (Basel). 2016 Oct 1;16(10):1631. doi: 10.3390/s16101631. Sensors (Basel). 2016. PMID: 27706077 Free PMC article.
Deep Physiological Model for Blood Glucose Prediction in T1DM Patients.
Munoz-Organero M. Munoz-Organero M. Sensors (Basel). 2020 Jul 13;20(14):3896. doi: 10.3390/s20143896. Sensors (Basel). 2020. PMID: 32668724 Free PMC article.
Feedback