Multispectral Analysis
We designed a multispectral analysis system. The inbuilt monochrome camera captures the images under LED with specific wavelengths. One of applications is the vein identification. -Dr.H.Hao
HD-EMG
Promising for identifying detailed information of the muscle activity.
–Suitable for fatigue
–Identifying prosthetic commands.
–Ageing
Neuropath
Mr.A.Bingham
Facial Surface EMG
Understanding of facial musculature through FsEMG during emotion elicitation
Mr.S.Bhowmik
IMU
Investigate the effects on the spatiotemporal and muscle gait parameters based on the severity of PD and prior to any adverse events.
Mrs. S.Keloth
Using the volume conduction model of the signal to predict the signal properties of each muscle. This model approach has been employed for EMG to identify the finger actions.
Dr.A. Siddiqqui
Lower back pain ailment
This robust lower back ailment early diagnostic system is non-invasive, can be used by a clinician or a nurse and is reliable. It can be used for screening people known to be at risk of suffering low back ailments or for quick and non-invasive checkups at workplaces, in gyms or for sporting activities. The system is based on the dynamic muscle activity pattern classification.
Dr. S. Arjunan
App develop
Different Apps are being developed including handwriting for PD patients and diabetic wound management.
Ms. P.V. Rekha and Mrs. P. Zham
Deep learning and image processing
Automatic assessment of diabetic retinopathy by combination of Deep Learning and image processing techniques based on retina fundus image.
Mr. Parham Khojasteh
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Diabetic retinopathy
Mrs. A. Ajaz