Abstract: It is desirable to attend to the mare at the time of foaling in order to assist fetal delivery and prevent complications. The early detection of the onset of labor is an important issue for the equine industry. The purpose of this study was to examine the applicability of a sensor for foaling detection using the data of surface temperature (ST), roll angle (rotation about the y-axis) and y-axis (long axis of the tail) acceleration which were collected from a multimodal device attached to the ventral tail base of the mare. The data were collected every 3 minutes in 17 pregnant mares. Roll angle differences from the reference values and the mare's posture (standing or recumbent) confirmed by video were compared and associated. Cohen's kappa coefficient was 0.99 when the threshold was set as ± 0.3 radian in roll angle differences. This result clearly showed that the sensor data can accurately distinguish between standing and recumbent postures. The hourly sensor data with a lower ST (LST < 35.5°C), a recumbent posture determined by the roll angle, and tail-raising (TR, decline of 200 mg or more from the reference value in y-axis acceleration) was significantly higher during the last hour prepartum than 2-120 hours before parturition (P < 0.01). The accuracy of foaling detection within one hour was verified using the following three indicators: LST; lying down (LD, change from standing to recumbent posture); and TR. When LST, LD and TR were individually examined, even though all indicators showed that sensitivity was 100%, the precision was 13.1%, 8.1% and 2.8%, respectively. When the data were combined as LST+LD, LST+TR, LD+TR and LST+LD+TR, detection of foaling improved, with precisions of 100%, 32.1%, 56.7% and 100%, respectively. In conclusion, the tail-attached multimodal device examined in this present study is useful for detecting foaling.
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This study investigates the use of a sensor, attached to a mare’s tail, to accurately detect the beginning of labor, which could greatly benefit the equine industry.
Research Purpose and Method
The primary aim of this research was to explore the possible application of a special sensor for detecting the start of labor in pregnant horses. Such timely detection could potentially allow for assistance during the delivery and prevention of related complications.
This sensor measured three key parameters: the surface temperature (ST), the roll angle (or y-axis rotation), and y-axis acceleration. These readings were collected from a device fitted to the mare’s tail base.
The study involved 17 pregnant mares, with data being gathered every three minutes.
The researchers then compared the sensor data with the mare’s posture, confirmed through video recordings, to validate the accuracy of the device.
Key Findings
The research established that the device could accurately differentiate between standing and lying down postures in the mares, with a Cohen’s kappa coefficient of 0.99 for a roll angle threshold set at ± 0.3 radian.
The researchers observed significantly more instances of lower surface temperature (below 35.5 degrees Celsius), a change in posture to lying down and tail-raising (a drop of 200 mg or more in y-axis acceleration) in the final hour before birth than 2-120 hours earlier. This indicated the device’s potential to detect the onset of labor within a one-hour accuracy window.
The device was most successful at predicting foaling when it combined all three indicators (lower surface temperature, lying down, and tail-raising), with a precision rating of a perfect 100%. Conversely, when the indicators were examined independently, the precision dropped significantly to 13.1% for lower surface temperature, 8.1% for lying down, and 2.8% for tail-raising.
Conclusion
The study showed that the tail-attached device was highly effective at detecting labor onset in mares, implying its potential use in monitoring pregnant mares and ensuring successful, complication-free births.
This technological advancement could be a significant addition to the equine industry, and more extensive investigation is necessary to further optimize and validate the device.
Cite This Article
APA
Aoki T, Shibata M, Violin G, Higaki S, Yoshioka K.
(2023).
Detection of foaling using a tail-attached device with a thermistor and tri-axial accelerometer in pregnant mares.
PLoS One, 18(6), e0286807.
https://doi.org/10.1371/journal.pone.0286807
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