Pulsoximetric monitoring of fetal arterial oxygen saturation and fetal pulse at stage II of labor to predict acidosis in newborn Holstein Friesian calves

During stage II of parturition, the bovine fetus is at risk of oxygen deficiency caused by insufficient gas exchange between the dam and the fetus. The early detection of this critical condition, followed by assistance at calving, can help to improve the vitality of the newborn calf, or even prevent it from being born dead. By using pulse oximetry, the arterial oxygen saturation, as well as the pulse rate, can be continuously and non-invasively measured. The aim of our study was to identify critical thresholds for the parameters 'arterial oxygen saturation (FSpO₂)' and 'pulse rate (PR)' that indicate a severe postnatal risk for calves to suffer from acidosis. FSpO₂ and PR from 40 bovine fetuses were recorded during the last 25 min of calving with a commercially available pulse oximeter (Radius-7, Masimo Corporation, Irvine, USA). The calves were tested immediately after birth for acidosis by analyzing their blood with a portable blood gas analyzer (VetScan iStat1, Abaxis Inc., Union City, USA). Retrospectively, the pulsoximetric data were scanned for predefined patterns. The validity of these patterns to predict acidosis in newborn calves was analyzed by using receiver operating characteristics (ROC) curve analyses. In general, PR was a stronger predictive parameter for acidosis than FSpO₂, with the greatest area under the curve (AUC) for the PR criteria 'Pulse rate > 120 beats per minute (bpm) for at least 2 min', with an AUC of 0.764, in contrast to an AUC of 0.613 for the best FSpO₂ criteria 'FSpO2 < 40% for at least 50% of the measurement'. Further studies should investigate whether vitality after calving can be improved and fetal death rate can be reduced when obstetric assistance is performed as soon as one of these criteria apply to the bovine fetus. For more practical implementation in the field, improvement of the device's hardware would be necessary.

Evaluation of an ear-attached accelerometer for detecting estrus events in indoor housed dairy cows

Precision dairy farming technologies have tremendous potential to improve and support farmers in herd management decisions, particularly in reproductive management. Nowadays, estrus detection in cows is challenging and several supporting tools are available. In this study, a 3D-accelerometer integrated into an ear-tag (SMARTBOW, Smartbow GmbH, Weibern, Austria) was used for the detection of cows in estrus. Movement pattern based on accelerometer data were analyzed and processed by algorithms and machine learning, resulting in estrus alerts. For the evaluation of the system, reproductive performance data of 579 estrus events of multiparous cows were used to retrospectively evaluate the accuracy of estrus alerts generated by the accelerometer-based system and the overall performance of the system. Estrus events were classified as 'gold standard' events, if an estrus followed by AI resulted in pregnancy, and as 'recorded estrus' events, if two estrus events with an interval of 18-25 d were in the herd records, independent of whether estrus was followed by AI or pregnancy. In total, 316 'gold standard' events were matched with estrus alerts generated by the accelerometer-based system, resulting in a sensitivity of 97%. Furthermore, 263 'recorded estrus' events were compared with correct or incorrect estrus alerts by the system. Sensitivity, specificity, positive and negative predictive values, accuracy, and error rate for 'recorded estrus' events were 97%, 98%, 96%, 94%, 96%, and 2%, respectively. In summary, the SMARTBOW system is suitable for an automated detection of estrus events of multiparous cows in indoor housed dairy cows.

Evaluation of an ear-tag-based accelerometer for monitoring rumination in dairy cows

The objective of this study was to evaluate the ear-tag-based accelerometer system Smartbow (Smartbow GmbH, Weibern, Austria) for detecting rumination time, chewing cycles, and rumination bouts in indoor-housed dairy cows. For this, the parameters were determined by analyses of video recordings as reference and compared with the results of the accelerometer system. Additionally, we tested the intra- and inter-observer reliability as well as the agreement of direct cow observations and video recordings. Ten Simmental dairy cows in early lactation were equipped with 10-Hz accelerometer ear tags and kept in a pen separated from herd mates. A total mixed ration was fed twice a day via a roughage intake control system. During the study, cows' rumination and other activities were directly observed for 20 h by 2 trained observers. Additionally, cows were video recorded for 19 d, 24 h a day. After exclusion of unsuitable videos, 2,490 h of cow individual 1-h video sequences were eligible for further analyses. Out of this, one hundred 1-h video sequences were randomly selected and visually and manually classified by a trained observer using professional video analyses software. Based on these analyses, half of the data was used for development (based on data of 50-h video analyses) and testing (based on data of additional 50-h video analyses) of the Smartbow algorithms, respectively. Inter- and intra-observer reliability as well as the comparison of direct against video observations revealed in high agreements for rumination time and chewing cycles with Pearson correlation coefficients >0.99. The rumination time, chewing cycles, as well as rumination bouts detected by Smartbow were highly associated (r > 0.99) with the analyses of video recordings. Algorithm testing revealed in an underestimation of the average ± standard deviation rumination time per 1-h period by the Smartbow system of 17.0 ± 35.3 s (i.e., -1.2%), compared with visual observations. The average number ± standard deviation of chewing cycles and rumination bouts was overestimated by Smartbow by 59.8 ± 79.6 (i.e., 3.7%) and by 0.5 ± 0.9 (i.e., 1.6%), respectively, compared with the video analyses. In summary, the agreement between the Smartbow system with video analyses was excellent. From a practical and clinical point of view, the detected differences were negligible. However, further research is necessary to test the system under various field conditions and to evaluate the benefit of incorporating rumination data into herd management decisions.