{"doi":"10.22489/cinc.2023.074","title":"Novel In-Home Cardiac Monitoring for Heart Failure Patients","abstract":"Heart failure (HF) costs the US $30 billion annually, and about 80% is associated with hospitalization.Reducing cost by lowering hospitalization through in-home patient monitoring is appealing.Adherence is a major challenge to in-home heart monitoring systems, especially when most high-risk patients are elderly and sick.We use a novel toilet seat, integrated with multiple sensors, as an inconspicuous monitoring system with potential for daily use.We examine initial deployment success, adherence rate to this new technology.Discharged heart failure patients are enrolled for a 90-day monitoring study.For deployment success, we examine enrollment rate and causes for failed enrollment.For adherence, we examine data missingness.For predictive analysis, we train random forest classifier with five-fold cross validation for a monitoring window of a week to predict hospitalization within 21 days.Of the 140 HF patients who consented, 35.5% were enrolled.The causes for failure to enroll were: hardware compatibility (43%), further illness (20%), loss of followup (17%).Of the 45 subjects analyzed, we observed maximum 7136 days of heart rate (hr), heart rate variability (hrv) and weight(sw);and minimum 3741 days of blood pressure monitoring data.Initial predictive analysis using hr, hrv, sw, resulted in an AUC of 74% (sensitivity 57%, specificity 75%) in a five-fold cross validated dataset.","journal":"Computing in cardiology","year":2023,"id":415500,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.952,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":497801,"name":"Ryan Missel","orcid":"0000-0002-9509-6775","position":1,"is_corresponding":false},{"id":953324,"name":"Dillon J. Dzikowicz","orcid":"0000-0001-7230-1927","position":2,"is_corresponding":false},{"id":1197721,"name":"Solomiya Rachynska","orcid":null,"position":3,"is_corresponding":false},{"id":71412,"name":"Wojciech Zaręba","orcid":"0000-0003-4146-420X","position":4,"is_corresponding":false},{"id":1197479,"name":"Linwei Wang","orcid":"0000-0002-4544-8170","position":5,"is_corresponding":false},{"id":1197478,"name":"Bipin Lekhak","orcid":"0000-0002-8842-1883","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T01:22:12.933438Z","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":[]}