AI Medical Compendium Journal:
Journal of medical engineering & technology

Showing 31 to 36 of 36 articles

Design and preliminary evaluation of a self-steering, pneumatically driven colonoscopy robot.

Journal of medical engineering & technology
Colonoscopy is a diagnostic procedure to detect pre-cancerous polyps and tumours in the colon, and is performed by inserting a long tube equipped with a camera and biopsy tools. Despite the medical benefits, patients undergoing this procedure often c...

Recent advancements in prosthetic hand technology.

Journal of medical engineering & technology
Recently, significant advances over the past decade have been made in robotics, artificial intelligence and other cognitive related fields, allowing development of highly sophisticated bio-mimetic robotics systems. In addition, enormous number of rob...

An intelligent rollator for mobility impaired persons, especially stroke patients.

Journal of medical engineering & technology
An intelligent rollator (IRO) was developed that aims at obstacle detection and guidance to avoid collisions and accidental falls. The IRO is a retrofit four-wheeled rollator with an embedded computer, two solenoid brakes, rotation sensors on the whe...

Characterisation and evaluation of soft elastomeric actuators for hand assistive and rehabilitation applications.

Journal of medical engineering & technology
Various hand exoskeletons have been proposed for the purposes of providing assistance in activities of daily living and rehabilitation exercises. However, traditional exoskeletons are made of rigid components that impede the natural movement of joint...

Automated human mind reading using EEG signals for seizure detection.

Journal of medical engineering & technology
Epilepsy is one of the most occurring neurological disease globally emerged back in 4000 BC. It is affecting around 50 million people of all ages these days. The trait of this disease is recurrent seizures. In the past few decades, the treatments ava...

Physical activities recognition from ambulatory ECG signals using neuro-fuzzy classifiers and support vector machines.

Journal of medical engineering & technology
The use of wearable recorders for long-term monitoring of physiological parameters has increased in the last few years. The ambulatory electrocardiogram (A-ECG) signals of five healthy subjects with four body movements or physical activities (PA)-lef...