Learn More About the H.A.L.O. Mk. 1's Capabilities!

The H.A.L.O. Mk. 1 is a versatile medical monitoring system that includes an array of sensors meant to help alert aircraft crew members when a pilot could be in danger. The simple clip-on structure allows the device to adapt to any model headset, and the sensors chosen allow for multiple conditions to be monitored simultaneously. To learn more about each sensor, click below!

H.A.L.O. Mk. 1 Schematic

Clip-On Adjustable Sensor Band

Houses the embedded sensor suite and enables integration of the sensors with pre-existing aviation headsets.

Heart Rate Monitor/Pulse Oximeter

A combination sensor utilizing LEDs and photodiodes to monitor heart rate and oxygen saturation in the blood. Monitoring heart rate and pulse oximetry would enable detection of high-stress, arrhythmia, or hypoxia.

Body Temperature Sensor

Consists of negative temperature coefficient (NTC) thermistors which detect surface body temperature at multiple points on the forehead to generate reliable data. Temperature data would indicate signs of dehydration or heat stroke.

Skin Conductance Sensor

Designed to detect the pilot's perspiration during flight. Sweat is helpful for detecting heat stroke and heat exhaustion when combined with body temperature data.

Respiration Monitor

Uses a high sensitivity microphone to generate waveform data indicating the pilot's rate of breathing. Monitoring respiration rate would help assess hyperventilation or unconsciousness during flight.

Head Motion Accelerometer

A simple accelerometer built into the sensor suite to help determine the movement of the pilot's head during flight. Analysis of head movement trends would detect erratic movement or the absence of movement (unconsciousness).

Central Wiring Quick Disconnect

Designed as a single point of connection between the sensor wire array and the headset. Allows for the pilot to get up abruptly in any emergency situation.

Central Acquisition Unit

An embedded Rasperry Pi unit equipped with an SD card for local storage of data from the individual sensors. The unit is capable of complex data analysis for immediate feedback when abnormal health trends are detected.