The root of contemporary biomedical engineering and research is the amalgamation of Body Sensor Network (BSN) with the Internet of Things (IoT) and cloud computing. It has resulted in a lot of research articles from reputed journals by renowned researchers. semiautomatic technique, Latent Semantic Algorithm (LSA) is a tried and tested machine learning concept to find out the latest research trend in the specific area. Here, we apply the same to a dataset of 927 research titles and abstracts for finding research trends pertaining to BSN. The literature published from 2004 till 2018 was analyzed during this study. In this study, 5-core research areas and 100 research trends were identified. On the basis of these findings, future directions with potential to steer future research were also given.

当代生物医学工程和研究的根源是身体传感器网络（BSN）与物联网（IoT）和云计算的融合。著名研究人员从著名期刊上发表了大量研究论文。半自动技术，潜在语义算法（LSA）是一种经过实践检验的机器学习概念，旨在发现特定领域的最新研究趋势。在这里，我们将其应用于927个研究标题和摘要的数据集，以发现与BSN相关的研究趋势。在此研究过程中分析了2004年至2018年出版的文献。在这项研究中，确定了5个核心研究领域和100个研究趋势。根据这些发现，还提出了可能指导未来研究的未来方向。