This paper describes the work done by the LIG of Grenoble for the Adhoc and the Spoken Consumer Health search. Our focus for this participation is to study the effectiveness of simple query expansions for health related retrieval. We focused on several query expansions, using knowledge-based or embedding-based techniques, with and without weighting of expansions, with and without Pseudo Relevance Feedback. The results obtained for Adhoc queries show that our baseline run out-performs the query expansions proposed. The results obtained for spoken queries show that several speakers lead to very different results, and that merging the results from several users improve the quality of the system.