International Journal of Biomedical Innovations and Engineering
Volume 1, Issue 1 (2023)
Table of contents
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Descriptive Study to Assess the Knowledge Concerning Bio-medical Waste Handling Among B.Sc. Nursing Scholars of Selected Nursing Colleges of District Kangra (H.P)
Abstract: The waste generated from health actions can be dangerous, poisonous, toxic and even mortal because of their high probable for ailment transmission and injury that also outcome in environmental disturbances. The first step to safe disposal of dangerous hospital wastes. an acceptable and proper knowledge of Bio Medical Waste Management among the students of Nursing is important. Appropriate managing of health care waste is then a vital part of environmental …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
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Brain Machine Interface: A Review of Current Technologies and Future Directions
Abstract: Brain Machine Interface (BMI) is a rapidly growing field that aims to establish direct communication between the brain and an external device. This technology has the potential to restore lost motor and sensory functions in people with neurological disorders or injuries. A brain-computer interface (BCI) is a technology that converts signals from the brain into instructions for computers or other gadgets. This innovation allows individuals to engage with their surroundings …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 14–24 Read article
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A Quasi-experimental Research Endeavor to Evaluatethe Impact of a Structured Instructional Program on Adults' Comprehension of Disaster Awareness and Management in Chosen Villages Situated in Moga,Punjab
Abstract: A quasi-experimental research was conducted to evaluate the efficiency of a structured instructional program on adults' comprehension of disasters and their management. The study involved a sample of 60 adults, divided equally into an experimental group of 30 and a control group of 30. The knowledge score of adults in experimental group regarding disaster and its management among adults was average (54%) and below average (46%) before imparting the structured …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 25–31 Read article
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Fruit Adulteration Detection Utilizing Machine Learning Methods
Abstract: A device utilizing Internet of Things (IoT) technology was developed for the identification of fruit adulteration through machine learning methods, specifically targeting formalin content assessment. The identification of the fruits based on their extracted traits has been accomplished using a variety of machine-learning techniques. The formalin concentration can be detected as an estimate of the generated voltage of any fruit via an Arduino Uno board 3 and a volatile compound …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 32–45 Read article
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Heart Attack Prediction Using Machine Learning
Abstract: Heart attacks have become a prevalent and serious condition in recent years due to a variety of causes. Numerous variables, including age, sex, fat, and others, can be used to predict it. In the current study, it was found that a data set with 13 parameters and 302 distinct data values, collected from a Kaggle dataset to assess patient condition, was covered. This article delves into the application of machine …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article