Heart Rate

the h eart rate (hr) measures the number of times the heart beats per minute it is a useful metric for monitoring user fitness level and overall health generally, a lower heart rate at rest implies more efficient heart function and better cardiovascular fitness for example, a well trained athlete might have a normal resting heart rate closer to 40 beats per minute how is it calculated? after systolic peak detection of the ppg signal, heart rate is calculated by counting the systolic peaks per minute in this pulse signal accuracy comparative analyses between heart rate sensors and intelliprove revealed a mean absolute error of 2 10 ± 2 36 beats per minute for heart rate estimation through intelliprove in 92% of the measurements the absolute measurement error is less than 5 beats per minute a correlation of r=0 982 (p<0,00001) is observed between the two measurement methods how can it be used? the resting heart rate can be used as a first indicator of the body’s health state and mental health state when a person experiences stress, the body's sympathetic nervous system is activated, leading to an increase in heart rate frequency this is part of the body's natural response to preparing for action when we experience stress due to high workload, the body will react equally chronic or prolonged stress can lead to sustained elevation of resting heart rate if you frequently experience stress or have a high stress lifestyle, your resting heart rate may be higher than average, even during periods of rest with intelliprove, the resting heart rate can be measured and compared to the population and/or user baseline based on the interpretation table below, personalised recommendations can be made to bring the resting heart rate to an acceptable level for example, multiple meditation and relaxation exercises would help the user to calm down below, an illustrative example on how heart rate frequency can be used within your platform, along with a link to a personalized recommendation you either present the heart rate directly or use a combination to calculate a health score , tailored to your offering interpreting results heart rate is returned as an integer on a scale of 36 – 216 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 heart rate beats per minute \[bpm] 36 216 heart rate physical health values value meaning zone example user text 36 56 very low green your heart rate at rest is very low in general, a resting heart rate for an adult is between 60 and 100 beats per minute 57 63 low green your heart rate at rest is low in general, a resting heart rate for an adult is between 60 and 100 beats per minute 64 – 71 below average green your heart rate at rest is lower than the average heart rate in general, a resting heart rate for an adult is between 60 and 100 beats per minute 72 – 85 average green your heart rate at rest is average in general, a resting heart rate for an adult is between 60 and 100 beats per minute 86 – 100 above average yellow your heart rate at rest is higher than the average heart rate in general, a resting heart rate for an adult is between 60 and 100 beats per minute 101 216 high red your heart rate at rest is high in general, a resting heart rate for an adult is between 60 and 100 beats per minute scientific papers verkruysse w, svaasand lo, nelson js 2008 remote plethysmographic imaging using ambient light opt express 16(26) 21434–21445 addison ps, jacquel d, foo dmh, borg ur video based heart rate monitoring across a range of skin pigmentations during an acute hypoxic challenge j clin monit comput 2018 oct;32(5) 871 880 poh mz, mcduff dj, picard rw 2010 non contact, automated cardiac pulse measurements using video imaging and blind source separation opt express 18(10) 10762–10774 shirbani f, hui n, tan i, butlin m, avolio ap effect of ambient lighting and skin tone on estimation of heart rate and pulse transit time from video plethysmography annu int conf ieee eng med biol soc 2020 jul;2020 2642 2645 sun y, thakor n 2016 photoplethysmography revisited from contact to noncontact, from point to imaging ieee trans biomed eng 63(3) 463–477 &#x9; &#x9; &#x9; &#x9; &#x9;