{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:27:54Z","timestamp":1760232474473,"version":"build-2065373602"},"reference-count":35,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T00:00:00Z","timestamp":1667952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Surge Motion, Inc."}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Human locomotion involves the modulation of whole-body mechanical energy, which can be approximated by the motion dynamics at the body\u2019s center of mass (BCOM). This study introduces a new method to measure gait efficiency based on BCOM oscillatory kinetic energy patterns using a single inertia measurement unit (IMU). Forty-seven participants completed an overground walk test at a self-selected speed. The average oscillatory energy (OE) at BCOM during walking was derived from measured acceleration data. The total OE showed a positive correlation with forward-walking velocity. The ratio of total OE to constant forward kinetic energy for healthy adults varied from ~1\u20135%, which can be considered the percent of oscillatory energy required to maintain gait posture for a given forward-walking velocity. Mathematically, this ratio is proportional to the square of the periodic peak-to-peak displacement of BCOM. Individuals with gait impairments exhibited a higher percentage of oscillatory energy, typically &gt;6%. This wearable IMU-based method has the potential to be an effective tool for the rapid, quantitative assessment of gait efficiency in clinical and rehabilitation settings.<\/jats:p>","DOI":"10.3390\/s22228656","type":"journal-article","created":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T02:11:15Z","timestamp":1668046275000},"page":"8656","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A New Quantitative Gait Analysis Method Based on Oscillatory Mechanical Energies Measured near Body Center of Mass"],"prefix":"10.3390","volume":"22","author":[{"given":"Derek","family":"Cheung","sequence":"first","affiliation":[{"name":"Surge Motion Inc., Fremont, CA 94536, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeff","family":"Cheung","sequence":"additional","affiliation":[{"name":"Surge Motion Inc., Fremont, CA 94536, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vicky","family":"Cheung","sequence":"additional","affiliation":[{"name":"Surge Motion Inc., Fremont, CA 94536, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7199-4052","authenticated-orcid":false,"given":"Li","family":"Jin","sequence":"additional","affiliation":[{"name":"Biomechanics Research Laboratory, Department of Kinesiology, San Jos\u00e9 State University, San Jos\u00e9, CA 95192, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.gaitpost.2019.05.014","article-title":"Reliability and Practical Clinical Application of an Accelerometer-Based Dual-Task Gait Balance Control Assessment","volume":"71","author":"Pitt","year":"2019","journal-title":"Gait Posture"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"999","DOI":"10.3389\/fneur.2019.00999","article-title":"The Motion of Body Center of Mass During Walking: A Review Oriented to Clinical Applications","volume":"10","author":"Tesio","year":"2019","journal-title":"Front. 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