Respiratory Rate

respiratory rate (rr) or breathing rate, is the number of breaths per minute while at rest breathing rates may increase with fever, illness and other medical conditions this metric can be used in addition to the resonant breathing score docid\ rf95c6gk3vcxuci lpdiz to guide users into a resonant breathing state or during another stress relieving breathing exercise how is it calculated? intelliprove software accurately calculates the respiration rate by detecting the subtle movements of the chest this is achieved through the use of an in house software algorithm, which enables the processing engine to identify the correct motion associated with breathing a respiration signal is created and its frequency is measured this frequency corresponds with the number of breaths a person takes in one minute (breaths per minute or bpm) accuracy the current mean absolute error of the respiratory rate measurement is 2 02±2 71 breaths per minute in 91% of the measurements the absolute measurement error is less than 5 breaths per minute a good correlation (r=0 825; p<0 00001) between video based rr measurement and ground truth rr values can be observed how can it be used? the respiratory rate at rest is expected to be around 12 to 20 breaths per minute equal to the resting heart rate, an increased breathing frequency can be used as an indicator for stress or anxiety monitoring the respiratory rate can be a valuable biomarker in therapeutic and wellbeing practices/exercises for instance, during meditation exercises, it is desirable to achieve a low breathing frequency between 6 to 12 breaths per minute (relaxation) by consistently practicing and training to maintain a lower resting breathing frequency, individuals can enhance their resilience to stress moreover, a lower resting respiratory rate not only aids in stress management but also promotes better sleep quality below is an illustrative example on how respiratory rate can be used as a valuable metric for feedback during breathing exercises, as a starting point for your offered content or to track progress using graphs interpreting results respiratory rate is returned as an integer on a scale of 6 to 48 and can be requested as a widgets docid\ oorapckooi6 89xrafduv or via the rest api docid\ biupvixvhltbukklr2ati definitions name unit range programmatic name health profile respiratory rate breaths per minute \[brpm] 4 48 respiratory rate physical health values value meaning zone example user text 4 12 slower breathing rate than average green your breathing rate at rest is low in general, a respiratory rate for an adult is typically between 12 and 20 breaths per minute 13 20 average breathing rate green your breathing rate at rest is average in general, a respiratory rate for an adult is typically between 12 and 20 breaths per minute 21 30 higher breathing rate than average yellow your breathing rateis somewhat increased in general, a respiratory rate for an adult is typically between 12 and 20 breaths per minute 31 48 high breathing rate red your breathing rate at rest is high in general, a respiratory rate for an adult is typically between 12 and 20 breaths per minute the table above shows value the possible values for the health insight meaning what does the value mean zone we distinguish three zones, useful – for example when creating a widget to clarify the feel towars the user green = optimal to normal yellow = normal to average red = outside the typical range; may require attention example user text an example of what could be communicated to the user in case this value is measured scientific papers nilsson l, johansson a, kalman s respiration can be monitored by photoplethysmography with high sensitivity and specificity regardless of anaesthesia and ventilatory mode acta anaesthesiol scand 2005 sep;49(8) 1157 62 tarassenko l, villarroel m, guazzi a, jorge j, clifton da, pugh cw 2014 non contact video based vital sign monitoring using ambient light and auto regressive models physiol meas 35(5) 807–831 al naji a, perera ag, chahl j 2017 remote monitoring of cardiorespiratory signals from a seated position using a digital camera plos one 12(10)\ e0187332 nam y, kong y, reyes ba, chon kh 2014 monitoring of heart and breathing rates using dual cameras on a smartphone plos one 9(3)\ e90084