Abstract: Embodiments of the present disclosure provide respiration monitoring systems and methods for using same. The respiration monitoring device can include a first accelerometer, a second accelerometer, at least one acoustic sensor, a memory comprising a lookup table, a real-time clock, and one or more instructions, and a processor for receiving one or more motion signals from each accelerometer and one or more sound signals from each acoustic sensor. The processor can correlate the one or more motion signals to a distance value, correlate the one or more sound signals to a sound value, filter the distance value and the sound value according to limitations stored in the lookup table, assign a time stamp to each filtered value, determine local maximums for the filtered motion values and local minimums for the filtered sound values, and match the local maximums to the local minimums to confirm a completed breath.

Abstract: Embodiments of the present disclosure provide respiration monitoring systems and methods for using same. The respiration monitoring device can include a first accelerometer, a second accelerometer, at least one acoustic sensor, a memory comprising a lookup table, a real-time clock, and one or more instructions, and a processor for receiving one or more motion signals from each accelerometer and one or more sound signals from each acoustic sensor. The processor can correlate the one or more motion signals to a distance value, correlate the one or more sound signals to a sound value, filter the distance value and the sound value according to limitations stored in the lookup table, assign a time stamp to each filtered value, determine local maximums for the filtered motion values and local minimums for the filtered sound values, and match the local maximums to the local minimums to confirm a completed breath.