Flexible Augmented Reality-Based Health Solution for Medication Weight Establishment

Abstract

The trend of personalized medicine and the increasing flexibility of drug dosage relevant goals of the 21st century represent the foundation for the current research. To obtain doses smaller than the smallest available, physicians frequently write prescriptions for children and adults, without preserving the integrity of the pill. Moreover, patients purchase large amounts of medication for cost-saving reasons. To support the correct administration of the remedies and the partial alignment to the personalized treatment trend, this paper proposes a flexible and user-friendly solution for determining the medication quantity given to patients, using augmented reality and optical character recognition algorithm capabilities. Via the MATLAB development environment and a Logitech HD Pro C920 webcam, the results were 80% correct in identifying the cutting position of the pill, by means of the Hough transform, and 30% correct in weight recognition exploitation using an optical character recognition (OCR) algorithm. In future work, a higher resolution camera and a more powerful computer can be used to increase the percentages mentioned above. In addition, a 3D scan of the pill fragmentation, combined with the weight recognition functionality, could increase the accuracy of the splitting procedure, conducted by the patient or the patient caretaker.

Augmented Reality in Healthcare: A Systematic Review

“…Heart rates and emotions are detected and monitored using ECG sensors. Dulf et al [18] have implemented a system using augmented reality to administer the dosage of medicine given to patients. The approach is to segment the pills based on a specific weight that is recommended by the physician.…”

Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System

“…After this edge detection, it is possible to detect circular shapes in the image with the use of the Circle Hough Transform (CHT). The CHT is a basic feature extraction function that uses a voting system in the Hough parameter space and the selection of local maxima in an accumulator matrix to detect circles [24]. For each detected circle, the radius, the center coordinates, and the metric value are noted.…”

Developing an integrated medication adherence system: Exploring the potential of i‐Ware's augmented reality goggles and mobile application

“…Because IATs' technological promise has not been successfully applied to the treatment of dementia, clinical applications are scarce despite the great rise of technological prospects [1, 2]. The study demonstrates that the density and diversity of the IAT spectrum, which includes cutting‐edge technologies such as augmented reality (AR) enabling a variety of assistive activities and clinical applications, are increasing rapidly as time passes [3, 4].…”