Using Raw Accelerometer Data to Predict High-Impact Mechanical Loading

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 4; p. 2246
• Main Authors: Veras, Lucas, Diniz-Sousa, Florêncio, Boppre, Giorjines, Devezas, Vítor, Santos-Sousa, Hugo, Preto, John, Vilas-Boas, João Paulo, Machado, Leandro, Oliveira, José, Fonseca, Hélder
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.02.2023; MDPI
• Subjects: Acceleration; Accelerometers; Accelerometry; Adult; Ankle; Ankle Joint; Back; biomechanics; Bones; Data collection; Data processing; Exercise; ground reaction force; Humans; jumps; loading rate; Male; Research Design; Sensors; Software; validation; Portugal; United States > US; Germany; jumps; loading rate; biomechanics; ground reaction force; validation

The purpose of this study was to develop peak ground reaction force (pGRF) and peak loading rate (pLR) prediction equations for high-impact activities in adult subjects with a broad range of body masses, from normal weight to severe obesity. A total of 78 participants (27 males; 82.4 ± 20.6 kg) comp...