Detecting sensor malfunctions using compression analysis of binary decision diagrams

An apparatus for detecting malfunctions in medical sensors comprising:

• one or more processors;
• and a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to:
• access, from a first medical sensor, a first binary decision diagram (BDD) representing medical sensor data from the first medical sensor, the medical sensor data measuring physiological stimulus from a person's body;
• determine a first compression rate of the first BDD accessed from the first medical sensor;
• indicate a malfunction in connection with the first medical sensor if the first compression rate is outside of a predetermined compression-rate range;
• and
• size optimize storage of the medical sensor data by:
• if a malfunction is not indicated, then store the first BDD in a data store associated with the first medical sensor;
• and
• if a malfunction is indicated, then delete the first BDD from the data store associated with the first medical sensors.

One or more computer-readable non-transitory storage media embodying software instructions for detecting malfunctions in medical sensors that is operable for causing a computer processor when executed to:

• access, from a first medical sensor, a first binary decision diagram (BDD) representing medical sensor data from the first medical sensor, the medical sensor data measuring physiological stimulus from a person's body;
• determine a first compression rate of the first BDD accessed from the first medical sensor;
• indicate a malfunction in connection with the first medical sensor if the first compression rate is outside of a predetermined compression-rate range;
• and
• size optimize storage of the medical sensor data by:
• if a malfunction is not indicated, then store the first BDD in a data store associated with the first medical sensor;
• and
• if a malfunction is indicated, then delete the first BDD from the data store associated with the first medical sensors.

A system for detecting malfunctions in medical sensors comprising:

• means for accessing, from a first medical sensor, a first binary decision diagram (BDD) representing medical sensor data from the first medical sensor, the medical sensor data measuring physiological stimulus from a person's body;
• means for determining a first compression rate of the first BDD accessed from the first medical sensor;
• means for indicating a malfunction in connection with the first medical sensor if the first compression rate is outside of a predetermined compression-rate range;
• and
• means for size optimizing storage of the medical sensor data by:
• if a malfunction is not indicated, then means for storing the first BDD in a data store associated with the first medical sensor;
• and
• if a malfunction is indicated, then means for deleting the first BDD from the data store associated with the first medical sensors.

A method for detecting malfunctions in medical sensors comprising:

• by one or more computing devices,
• accessing, from a first medical sensor, a binary decision diagram (BDD) representing medical sensor data from the first medical sensor, the medical sensor data measuring physiological stimulus from a person's body;
• determining a compression change rate of the BDD accessed from the first medical sensor;
• indicating a sensor malfunction in the medical sensor if the compression change rate is outside of a predetermined compression-change-rate range;
• and
• size optimizing storage of the medical sensor data by:
• if a malfunction is not indicated, then storing the first BDD in a data store associated with the first medical sensor;
• and
• if a malfunction is indicated, then deleting the first BDD from the data store associated with the first medical sensors.