{"doi":"10.1038/s41746-024-01287-2","title":"Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India)","abstract":"The COVID-19 pandemic has challenged the current paradigm of clinical and community-based disease detection. We present a multimodal wearable sensor system paired with a two-minute, movement-based activity sequence that successfully captures a snapshot of physiological data (including cardiac, respiratory, temperature, and percent oxygen saturation). We conducted a large, multi-site trial of this technology across India from June 2021 to April 2022 amidst the COVID-19 pandemic (Clinical trial registry name: International Validation of Wearable Sensor to Monitor COVID-19 Like Signs and Symptoms; NCT05334680; initial release: 04/15/2022). An Extreme Gradient Boosting algorithm was trained to discriminate between COVID-19 infected individuals (n = 295) and COVID-19 negative healthy controls (n = 172) and achieved an F1-Score of 0.80 (95% CI = [0.79, 0.81]). SHAP values were mapped to visualize feature importance and directionality, yielding engineered features from core temperature, cough, and lung sounds as highly important. The results demonstrated potential for data-driven wearable sensor technology for remote preliminary screening, highlighting a fundamental pivot from continuous to snapshot monitoring of cardiorespiratory illnesses.","journal":"npj Digital Medicine","year":2024,"id":447699,"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":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9463,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1265789,"name":"Jonathan Mendley","orcid":"0009-0004-8981-8323","position":1,"is_corresponding":false},{"id":1261045,"name":"Shreya Aalla","orcid":"0009-0002-3656-0483","position":2,"is_corresponding":false},{"id":1261526,"name":"Nicole C. Veit","orcid":null,"position":3,"is_corresponding":false},{"id":677204,"name":"Michael Fanton","orcid":"0000-0001-8566-5260","position":4,"is_corresponding":false},{"id":474778,"name":"Jong Yoon Lee","orcid":"0000-0003-1626-7669","position":5,"is_corresponding":false},{"id":1265790,"name":"Vikrant Tripathi","orcid":"0009-0002-8677-9627","position":6,"is_corresponding":false},{"id":1266301,"name":"V. Ravikumar Pandi","orcid":null,"position":7,"is_corresponding":false},{"id":1266302,"name":"Akash Khobragade","orcid":null,"position":8,"is_corresponding":false},{"id":1265791,"name":"Sunil Kumar Chaudhary","orcid":"0009-0003-1337-6277","position":9,"is_corresponding":false},{"id":1265792,"name":"Amitav Chaudhuri","orcid":"0009-0005-3247-2349","position":10,"is_corresponding":false},{"id":1266303,"name":"Vaidyanathan Narayanan","orcid":null,"position":11,"is_corresponding":false},{"id":572663,"name":"Shuai Xu","orcid":"0000-0003-3560-6945","position":12,"is_corresponding":false},{"id":572652,"name":"Hyoyoung Jeong","orcid":"0000-0002-1808-7824","position":13,"is_corresponding":false},{"id":257745,"name":"John A. Rogers","orcid":"0000-0002-3830-5980","position":14,"is_corresponding":false},{"id":278713,"name":"Arun Jayaraman","orcid":"0000-0002-9302-6693","position":15,"is_corresponding":false},{"id":677203,"name":"Olivia K. Botonis","orcid":"0000-0003-2625-7026","position":0,"is_corresponding":true}],"reference_count":88,"raw_metadata":null,"created_at":"2026-07-19T02:02:03.354708Z","pmid":"39427067","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":[]}