Deep Learning based Gait Abnormality Detection using Wearable Sensor System.

Gait is an extraordinary complex function of human body that involves the activation of entire visceral nervous system, making human gait definite to various functional abnormalities. Diagnosis and treatment of such disorders prior to their development can be achieved through integration of modern technologies with state-of-the-art developed methods. Modern machine learning techniques have outperformed and complemented the use of conventional statistical methods in bio-medical systems.

Utilization of health services in Tenali Mandal, Andhra Pradesh- A cross-sectional study.

Introduction: India has a plurality of health care with different systems of medicine delivered by government and local bodies in hospitals and clinics. Public hospitals provide 60% of all hospitalizations, while the private sector provides 75% of all routine care. Utilization is the actual attendance by the members of the public at health care facilities, which measures the number of visits per year or the number of people with at least one visit during the previous year, serves as an important tool and acts as a guiding path in understanding disease profile and also helps resource allocation.

A simplified method of preventing implant hex drive from aspiration or accidental swallowing during stage two implant recovery.

Objectives: To prevent accidental ingestion of implant hex dive.

Materials And Methods: Dental floss which is used to stabilize the hex drive is tied to the operator's finger ring to overcome sudden aspiration of fallen instrument.

Results: It showed excellent grip of the instrument during stage two uncover time and also saved operators time.