BlockTheFall: Wearable Device-based Fall Detection Framework Powered by Machine Learning and Blockchain for Elderly Care

Falls among the elderly are a major health concern, frequently resulting in serious injuries and a reduced quality of life. In this paper, we propose "BlockTheFall," a wearable device-based fall detection framework which detects falls in real time by using sensor data from wearable devices. To accurately identify patterns and detect falls, the collected sensor data is analyzed using machine learning algorithms. To ensure data integrity and security, the framework stores and verifies fall event data using blockchain technology. The proposed framework aims to provide an efficient and dependable solution for fall detection with improved emergency response, and elderly individuals' overall well-being. Further experiments and evaluations are being carried out to validate the effectiveness and feasibility of the proposed framework, which has shown promising results in distinguishing genuine falls from simulated falls. By providing timely and accurate fall detection and response, this framework has the potential to substantially boost the quality of elderly care.Comment: Accepted to publish in The 1st IEEE International Workshop on Digital and Public Healt

Fabrication of phantom skin for the biomedical test

Implantable biomedical devices (IMDs) have an enormous prospect in the medical sector. A phantom skin model with similar properties to human skin can be fabricated to analyze if the exchange of energy between the IMD and external devices can produce any effect on the skin of the patient. This analysis can provide numerous information before implanting the IMD in humans and animals. This project aims to fabricate a phantom skin model with similar electrical and acoustic properties to human skin to test IMDs. The fabrication methodology is based on the agar/gelatin gel with other chemicals to replicate some properties of human skin, such as conductivity, speed of sound (SOS), and attenuation coefficient. An agar-based gel with NaCl solution was prepared to replicate the electrical properties, which was validated with a conductivity meter probe. For the acoustic model of human skin, agar/gelatin powder was used to prepare the gel with other chemical substances. Among the others, bovine serum albumin (BSA), methanol, glutaraldehyde were expected to provide the best results. To compare the multilayer and homogeneous phantom models, both types of phantom skins were fabricated. Later the characterization of the acoustic properties was done with piezoelectric transducers in a water tank setup. Due to the closure of the lab, all the experiments were not completed. Therefore, the electrical and acoustic properties in one single phantom model could not be achieved. Further experiments can be conducted to achieve this goal and to have improved received signals for calculating the speed of sound

A Review of Quantum Cybersecurity: Threats, Risks and Opportunities

The promise of quantum computing is not speeding up conventional computing rather delivering an exponential advantage for certain classes of problems, with profound implications for cybersecurity for instance. With the advent and development of quantum computers, cyberspace security can surely become the most critical problem for the Internet in near future. On contrary, prosaic quantum technology can be promising to transform cybersecurity. This research aims to synthesize basic and fundamental studies concerning quantum cybersecurity that can be emerged both as a threat and solution to critical cybersecurity issues based on a systematic study. We provide a comprehensive, illustrative description of the current state-of-the-art quantum computing and cybersecurity and present the proposed approaches to date. Findings in quantum computing cybersecurity suggest that quantum computing can be adopted for the betterment of cybersecurity threats while it poses the most unexpected threats to cybersecurity. The focus and depth of this systematic survey not only provide quantum and cybersecurity practitioners and researchers with a consolidated body of knowledge about current trends in this area but also underpins a starting point for further research in this field