A system for monitoring vital signs of a pet animal comprises an annular band, an accelerometer configured to measure at least one of resting patterns, activity patterns, movement patterns, position patterns relating to, for example the pet animal relieving itself, lameness and scratching, and a non-accelerometer sensor configured to measure at least one of the following non-accelerometer-measured bioparameters of the pet animal: temperature, pulse rate, respiration rate. One or more processors are configured to receive sensor output data and reference data concerning the measured bioparameters of the pet animal or of a population of the pet animal, and determine a suspicion of a specific medical condition by: (i) scoring at least two bioparameters and comparing a cumulative score to a threshold cumulative score or to a threshold cumulative range; or (ii) identifying an abnormal pattern. The processor(s) may send an alert if at least one specific medical condition is suspected.

A system for monitoring vital signs of a pet animal comprises an annular band, an accelerometer configured to measure at least one of resting patterns, activity patterns, movement patterns, position patterns relating to, for example the pet animal relieving itself, lameness and scratching, and a non-accelerometer sensor configured to measure at least one of the following non-accelerometer-measured bioparameters of the pet animal: temperature, pulse rate, respiration rate. One or more processors are configured to receive sensor output data and reference data concerning the measured bioparameters of the pet animal or of a population of the pet animal, and determine a suspicion of a specific medical condition by: (i) scoring at least two bioparameters and comparing a cumulative score to a threshold cumulative score or to a threshold cumulative range; or (ii) identifying an abnormal pattern. The processor(s) may send an alert if at least one specific medical condition is suspected.

An intelligent animal operation table is provided. An instrument cabinet is fixed at a rear part of a top surface of an operation platform through supporting columns; a brain stereotaxic instrument is fixed on a front side of the instrument cabinet; a physiological signal acquisition system is located below the instrument cabinet and behind the brain stereotaxic instrument; a welding table is located on the front side of the instrument cabinet and a right side of the physiological signal acquisition system; an electroneurographic signal amplification display is located on the front side of the instrument cabinet and on a right rear side of the welding table; and a shadowless lamp is fixed on a right part of a top surface of the instrument cabinet. The intelligent animal operation table is reasonable and compact in structural arrangement and is convenient for the complete implementation of a robot animal experiment.

An intelligent animal operation table is provided. An instrument cabinet is fixed at a rear part of a top surface of an operation platform through supporting columns; a brain stereotaxic instrument is fixed on a front side of the instrument cabinet; a physiological signal acquisition system is located below the instrument cabinet and behind the brain stereotaxic instrument; a welding table is located on the front side of the instrument cabinet and a right side of the physiological signal acquisition system; an electroneurographic signal amplification display is located on the front side of the instrument cabinet and on a right rear side of the welding table; and a shadowless lamp is fixed on a right part of a top surface of the instrument cabinet. The intelligent animal operation table is reasonable and compact in structural arrangement and is convenient for the complete implementation of a robot animal experiment.

A system and method for monitoring the health of an animal using multiple sensors is described. The wearable device may include one or more sensors whose resultant signal levels may be analyzed in the wearable device or uploaded to a data management server for additional analysis. In one example, paired thermometers are used to estimate a core temperature of the animal, with one of the thermometers facing inward toward the animal and the other thermometer facing away from the animal.

A system and method for monitoring the health of an animal using multiple sensors is described. The wearable device may include one or more sensors whose resultant signal levels may be analyzed in the wearable device or uploaded to a data management server for additional analysis. In one example, paired thermometers are used to estimate a core temperature of the animal, with one of the thermometers facing inward toward the animal and the other thermometer facing away from the animal.

A system for positioning and monitoring an animal during microscopy may include a base supporting the animal, a head holder attached to the base and securing the animal's head, a body holder attached to the base and restraining the animal's body, at least one sensor measuring a physiological parameter of the animal, and a controller receiving and processing data from the at least one sensor. The base may comprise a scissor lifting jack for height adjustment. The head holder may include a ball joint for angular adjustment. The body holder may comprise a swaddle. Sensors may include an accelerometer to detect motion and a thermocouple to measure cranial window temperature. The system may also include a camera to capture images during microscopy.

A system for positioning and monitoring an animal during microscopy may include a base supporting the animal, a head holder attached to the base and securing the animal's head, a body holder attached to the base and restraining the animal's body, at least one sensor measuring a physiological parameter of the animal, and a controller receiving and processing data from the at least one sensor. The base may comprise a scissor lifting jack for height adjustment. The head holder may include a ball joint for angular adjustment. The body holder may comprise a swaddle. Sensors may include an accelerometer to detect motion and a thermocouple to measure cranial window temperature. The system may also include a camera to capture images during microscopy.

An equine health monitoring system generates health predictions based on monitored sensor data from at least one wearable device worn on a leg of an equine. The wearable device includes a pad and one or more securing straps for securing the pad to the leg of the equine. The pad includes an array of spatially distributed sensors for obtaining sensor data and a controller for transmitting the sensor data to a prediction application of a client device. The predication application applies a machine learning model to the sensor data and equine profile to generate likelihood values associated with one or more equine health conditions. The prediction application generates from the likelihood values, a prediction associated with the one or more equine health conditions, and outputs a visual representation of the prediction to a user interface of the client device.

An equine health monitoring system generates health predictions based on monitored sensor data from at least one wearable device worn on a leg of an equine. The wearable device includes a pad and one or more securing straps for securing the pad to the leg of the equine. The pad includes an array of spatially distributed sensors for obtaining sensor data and a controller for transmitting the sensor data to a prediction application of a client device. The predication application applies a machine learning model to the sensor data and equine profile to generate likelihood values associated with one or more equine health conditions. The prediction application generates from the likelihood values, a prediction associated with the one or more equine health conditions, and outputs a visual representation of the prediction to a user interface of the client device.