{"doi":"10.1109/iccubea.2018.8697854","title":"FPGA Implementation of Run-Time Reconfigurable Platform for Bio-Medical Application","abstract":null,"journal":"2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)","year":2018,"id":642775,"datarank":0.1295883859307724,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.025616308846780587,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.025616308846780587,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":1,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1672105,"name":"P. C. Bhaskar","orcid":null,"position":1,"is_corresponding":false},{"id":1672104,"name":"Ajinkya Anant Bandegiri","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"FPGA Implementation of Run-Time Reconfigurable Platform for Bio-Medical Application","abstract":"In this article, the use of Field Programmable Gate Array to examine reconfiguration which will help into the field of Bio-medical Applications has been focused. The FPGA is reconfigured at real-time to analyse parameters like body temperature, pulse rate, ECG. To implement the application partial reconfiguration is used. In this method, there are two ways 1) Static 2) Dynamic. Configuration of the FPGA before reconfiguration known as static part. When reconfiguration of FPGA is again take place that part is known as the partial reconfigurable part of the system. In first part two sensors are taken as temperature and pulse sensor. In next part ECG sensor is added. The outcomes involve displaying respective values in particular conditions using DPR. The above work can be successfully carried out for patient to monitor their health condition and the data is seen on IoT at remote location.","is_dataset_classified":null,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19910364","pmcid":null,"openalex_id":"https://openalex.org/W2941434274","authors":[],"funders":[],"total_grants":0,"fwci":0.4776,"citation_percentile":0.6868409,"influential_citations":0,"citation_trend":[{"year":2021,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/8681925/8697217/08697854.pdf?arnumber=8697854","host_type":"publisher"},{"url":"https://doi.org/10.1109/iccubea.2018.8697854","host_type":""}],"fields_of_study":["ECG Monitoring and Analysis","Analog and Mixed-Signal Circuit Design","Embedded Systems Design Techniques"],"mesh_terms":[],"keywords":["Control reconfiguration","Field-programmable gate array","Computer science","Embedded system","Gate array","Field (mathematics)","Pulse rate"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-08T03:41:13.627860Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}