Roberto Merletti
Metrology in sEMG and movement analysis: the need for training new figures in clinical rehabilitation
Frontiers in rehabilitation sciences
length menstrual cycle positively associated antral follicle number women pattern consistent cattle valueadded benefit using automated activity monitors determine estrous status could ability predict antral follicle count afc therefore hypothesized interestrous interval increased ultrasonographic afc would greater crossbred beef heifers 3 yr crossbred beef heifers n 1394 fitted automated activity monitors 81 days 42 46 heifers submitted ultrasonographic examination determine afc days 60 81 heifers visually observed twice daily 45 min signs behavioral estrus heifers behavioral estrus coincided sensorbased estrus previous sensorbased estrus 15 26 earlier used analysis n 850 combination regression analyses correlation analyses applied understand association data collected sensors follicle number determined ultrasonographic examination antral follicle count analyzed using glm procedure sas estrous cycle length 15 26 fixed effect estrus likely initiate early morning hours peak activity greater p 00001 estrus initiated 0200 0800 hours estrus initiated times day antral follicle count differ due length estrous cycle p 087 thus length estrous cycle obtained threeaxis accelerometers cannot used predict follicle number crossbred beef heifers however machine learning approaches combine multiple features could used integrate parameters activity relevant environmental management data quantify afc improve reproductive management beef cows