{"doi":"10.1123/jpah.2019-0205","title":"Toward Harmonized Treadmill-Based Validation of Step-Counting Wearable Technologies: A Scoping Review","abstract":"BACKGROUND: The authors conducted a scoping review as a first step toward establishing harmonized (ie, consistent and compatible), empirically based best practices for validating step-counting wearable technologies. PURPOSE: To catalog studies validating step-counting wearable technologies during treadmill ambulation. METHODS: The authors searched PubMed and SPORTDiscus in August 2019 to identify treadmill-based validation studies that employed the criterion of directly observed (including video recorded) steps and cataloged study sample characteristics, protocol details, and analytical procedures. Where reported, speed- and wear location-specific mean absolute percentage error (MAPE) values were tabulated. Weighted median MAPE values were calculated by wear location and a 0.2-m/s speed increment. RESULTS: Seventy-seven eligible studies were identified: most had samples averaging 54% (SD = 5%) female and 27 (5) years of age, treadmill protocols consisting of 3 to 5 bouts at speeds of 0.8 (0.1) to 1.6 (0.2) m/s, and reported measures of bias. Eleven studies provided MAPE values at treadmill speeds of 1.1 to 1.8 m/s; their weighted median MAPE values were 7% to 11% for wrist-worn, 1% to 4% for waist-worn, and ≤1% for thigh-worn devices. CONCLUSIONS: Despite divergent study methodologies, the authors identified common practices and summarized MAPE values representing device step-count accuracy during treadmill walking. These initial empirical findings should be further refined to ultimately establish harmonized best practices for validating wearable technologies.","journal":"Journal of Physical Activity and Health","year":2020,"id":60792,"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":60,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7749,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":320956,"name":"Aston K. McCullough","orcid":"0000-0003-2021-5554","position":1,"is_corresponding":false},{"id":320957,"name":"Elroy J. Aguiar","orcid":"0000-0003-4763-0491","position":2,"is_corresponding":false},{"id":320958,"name":"Scott W. Ducharme","orcid":"0000-0001-6810-1391","position":3,"is_corresponding":false},{"id":274799,"name":"Catrine Tudor‐Locke","orcid":"0000-0003-4342-5909","position":4,"is_corresponding":false},{"id":320955,"name":"Christopher C. Moore","orcid":"0000-0001-6027-1732","position":0,"is_corresponding":true}],"reference_count":102,"raw_metadata":null,"created_at":"2026-07-18T21:09:05.493770Z","pmid":"32652514","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":[]}