/
E-Health Workshop on  Remote Health using Technology (RHT) 2017 E-Health Workshop on  Remote Health using Technology (RHT) 2017

E-Health Workshop on Remote Health using Technology (RHT) 2017 - PowerPoint Presentation

ariel
ariel . @ariel
Follow
27 views
Uploaded On 2024-02-09

E-Health Workshop on Remote Health using Technology (RHT) 2017 - PPT Presentation

Manoranjan Paul PhD SMIEEE MACS Snr CP Associate Professor in Computer Science School of Computing amp Mathematics Faculty of BJBS Steering Committee Member CSU Machine Learning CML Research Unit ID: 1046017

health vision computer learning vision health learning computer research prediction diabetic facilities signal mathematics amp computing camera deep

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "E-Health Workshop on Remote Health usin..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

1. E-Health Workshop on Remote Health using Technology (RHT) 2017Manoranjan Paul, PhD, SMIEEE, MACS (Snr) CPAssociate Professor in Computer ScienceSchool of Computing & Mathematics, Faculty of BJBSSteering Committee MemberCSU Machine Learning (CML) Research Unit E-Health Research Group LeaderFaculty of BJBSSeminar CoordinatorSchool of Computing & Mathematics

2. Recent ProjectsEpileptic Seizure Prediction using EEG signalsEarly diagnosis of Alzheimer's Disease using deep learningImage Contrast Enhancement for the Diabetic RetinopathyBlood glucose drop prediction for diabetic patientCardiopulmonary measurement using the smartphoneFall detection using depth camera

3. ExpertiseData compressionImage/video processingMachine learning e.g. PCA, SVM, Deep Learning Signal processing e.g. EMD, FFT, DWTEye trackingPattern recognitionComputer vision

4. Facilities in my Computer Vision LabComputer Vision LabVideo SurveillanceBrain Signal ProcessingEye Movement MonitoringEEG MachineEye TrackerCCTV Cameras

5. Facilities in my Computer Vision Lab contiā€¦Fig. Hyperspectral camera to capture images

6. Thanks