System for acoustic fetal heart rate monitoring

A method for a fetal monitoring system of a hospital, comprising:

• acquiring fetal heart rate (FHR) data of a fetus of a pregnant mother using a fetal monitor;
• transmitting the FHR data from the fetal monitor to an analytics system communicably coupled to the fetal monitoring system;
• processing the FHR data at the analytics system using one or more AI analytics models;
• in response to the one or more AI analytics models detecting an anomaly in the FHR data:
• sending a request from the analytics system to the fetal monitor to record acoustic FHR data of the fetus, and to transmit FHR data including the acoustic FHR data to the analytics system;
• sending the FHR data including the acoustic FHR data from the analytics system to a surveillance station of a clinician;
• displaying a continuous graphical tracing of the FHR data of the fetus on a display device of the surveillance station;
• and
• outputting the acoustic FHR data to a listening device of the surveillance station;
• wherein transmitting the FHR data including the acoustic FHR data to the analytics system further comprises transmitting the FHR data and the acoustic FHR data using the Sapphire over Unified Messaging Fabric (sUMF) protocol.

A fetal monitoring system, comprising:

• a fetal monitor, a cloud-based analytics system, and a surveillance station;
• wherein:
• the fetal monitor includes a first processor and a first non-transitory memory storing a first set of instructions that when executed, cause the first processor to:
• continuously acquire fetal heart rate (FHR) data of a fetus of a pregnant mother from one or more sensors arranged on an abdomen of the pregnant mother;
• in response to receiving a request from the cloud-based analytics system, initiate recording of acoustic FHR data of the fetus from the one or more sensors, and transmit the FHR data and the acoustic FHR data to the cloud-based analytics system;
• and
• in response to not receiving the request from the cloud-based analytics system, not initiate recording of acoustic FHR data of the fetus from the one or more sensors, and not transmitting the FHR data and the acoustic FHR data to the cloud-based analytics system;
• and
• the analytics system includes a second processor and a second non-transitory memory storing a second set of instructions that when executed, cause the second processor to:
• process the FHR data received from the fetal monitor using one or more artificial intelligence (AI) models;
• in response to the one or more AI models detecting an anomaly in the FHR data:
• send a request to the fetal monitor to record and transmit the acoustic FHR data to the cloud-based analytics system;
• store the received FHR data and the acoustic FHR data in a database;
• notify a clinician of the anomaly;
• and
• transmit the received FHR data and the acoustic FHR data to the surveillance station;
• and
• in response to the one or more AI models not detecting the anomaly in the FHR data, not sending the request to the fetal monitor to record and transmit the acoustic FHR data to the cloud-based analytics system, not storing the received FHR data and the acoustic FHR data in a database, and not transmitting the acoustic FHR data to the surveillance station;
• and
• the surveillance station includes a third processor and a third non-transitory memory storing a third set of instructions that when executed, cause the third processor to:
• display a continuous graphical tracing of the FHR data of the fetus on a display device;
• and
• output the acoustic FHR data to a listening device.