PRIORITIZING FALL RISK MANAGEMENT: IRRESPECTIVE OF PARKINSON’S DISEASE PROGRESSION DURING REHABILITATION

Background and Aims: It has been established that the hazard of falling in Parkinson's patients is a primary cause of loss of independence, and hence it is a significant component to the disease's burden. As a result, the goal of this study is to evaluate the relationship between level of disease progression and the risk of falling in order to understand the critical need for rehab intervention in Parkinson's disease. Methodology: A cross-sectional survey was conducted on 24 participants participated in study through convenience sampling technique from primary and tertiary care institutes/ hospitals. Tinetti balance and gait test was used to evaluate the risk of fall among patients while The Hoehn and Yahr Scale was used to track the progression of Parkinson's symptoms and disability. Results: Total 24 (n=24) participants with idiopathic Parkinson’s disease were enrolled in the study in which the majority of the participants belong to age group 59-69 years. The balance and gait of Parkinson’s patient is strongly negative correlated i.e. -8.33 with the severity of Parkinson’s disease with .000 level of significance which is strongly negative correlated with the severity of Parkinson’s disease (p<0.05). Conclusion: This demonstrates that the balance and gait of a Parkinson’s person is not related to the severity level Parkinson’s disease thus fall management in PD patients must be kept in priority during the rehab intervention for ADL independence and social participation.

Grid Computing in Financial Services

A Wireless Sensor Networks (WSN) comprises of numerous sensor nodes which can be used as an effective tool for data collection in different applications like remote health care, war field surveillance, environmental monitoring, smart farming etc. WSN has rapidly gain massive global attractions which gives a new perspective to deal with things contrary to the traditional approach of performing tasks. WSN nodes are multifunctional, low-cost processing and sensing unit with a limited pre-installed battery capacity that are directly or indirectly connect and collaborate with each other. These nodes organize themselves in their environment to gather information, process it, share and transmit collected data at end-point that provide unattended operations or less human intervention which reduce financial cost and minimize the risks. As GDP is the key factor of the country in terms of economic health and services capability in an international market from various industries like textile, manufacturing, agriculture etc. So, the minimization of financial losses to increase the overall GDP is utmost important. One of the major challenges of WSN is to collect aggregated data with minimum energy consumption from sensor nodes to base station. In this thesis, the focus is to enhance the network performance with minimum energy consumption based on the Hybrid Multi-Tier Mobile Data Collector (MDC) based Cluster / GRID routing protocol. This protocol makes use of a GRID / Cluster based MultiTier architecture and uses multi-hop communication mechanism between clusters and base station. The Hybrid Multi-Tier MDC based protocol shows substantial improvements in minimizing sensor nodes’ energy consumption and improve the network life. Hence, the better instantaneous monitoring, increase administrative power on going tasks, in depth historical insight, and smart decision making become possible with minimal investment that strength farmers and assure higher revenue.