Ideal Combinations of Acceleration-Based Intensity Metrics and Sensor Positions to Monitor Exercise Intensity under Different Types of Sports

Abstract

This study quantified the strength of the relationship between the percentage of heart rate reserve (%HRR) and two acceleration-based intensity metrics (AIMs) at three sensor-positions during three sport types (running, basketball, and badminton) under three intensity conditions (locomotion speeds). Fourteen participants (age: 24.9 ± 2.4 years) wore a chest strap HR monitor and placed three accelerometers at the left wrist (non-dominant), trunk, and right shank, respectively. The %HRR and two different AIMs (Player Load per minute [PL/min] and mean amplitude deviation [MAD]) during exercise were calculated. During running, both AIMs at the shank and PL at the wrist had strong correlations (r = 0.777–0.778) with %HRR; while other combinations were negligible to moderate (r = 0.065–0.451). For basketball, both AIMs at the shank had stronger correlations (r = 0.604–0.628) with %HRR than at wrist (r = 0.536–0.603) and trunk (r = 0.403–0.463) with %HRR. During badminton exercise, both AIMs at shank had stronger correlations (r = 0.782–0.793) with %HRR than those at wrist (r = 0.587–0.621) and MAD at trunk (r = 0.608) and trunk (r = 0.314). Wearing the sensor on the shank is an ideal position for both AIMs to monitor external intensity in running, basketball, and badminton, while the wrist and using PL-derived AIM seems to be the second ideal combination.

Bipedal Static Supination and Dynamic Forefoot Loading Characteristics in Taiwanese College Badminton Players: A Cross-Sectional Study

“…Furthermore, the study only included participants who held the racket with their dominant right hand, and the issue of whether the participant had a dominant/non-dominant leg was not considered within the research. Therefore, further studies not only need to rely on a considerable sample size to examine whether badminton players have dominant legs, but also consider using an accelerometer to determine the impact of dominant legs on the distribution of plantar pressure and external intensity of lower limbs during training and competition [ 61 ]. The results of this study preliminarily examine the features of static and dynamic plantar pressure profiles as well as the transitional changes between static and dynamic states in Taiwanese college elite and recreational badminton players.…”

Flexible wearable devices for intelligent health monitoring

“…Similar to heart rate, blood pressure is also a pivotal standard reflecting the health of cardiovascular, therefore, portable blood pressure monitoring is of great significance in preventing cardiovascular relative disease, especially for hypertension detection. Recently, plenty of researches were located on the exploration of wearable blood pressure monitoring devices and their medical applications 29‐51 …”

“…46 Heart rate, a vital parameter to evaluate one's cardiovascular function and status, is regarded as an essential physiological indicator and should be regularly monitored to prevent cardiovascular disease. 47,48 In this context, more and more research interests were centered on exploiting wearable heart rate monitoring devices mainly based on piezoresistive, piezoelectric, triboelectric and capacitive effects. For example, Samorì et al, fabricated a piezoresistive pressure sensor on the basis of millefeuille-like reduced graphene oxide (rGO) intercalated with covalently tethered molecular pillars, which displayed an ultrahigh sensitivity up to 0.82 kPa −1 within low-pressure ranged from 0 to 6 kPa, fast response of 24 ms and low detection limit of 7 Pa.…”

“…Cardiovascular diseases are currently the main cause of death around the world and are predicted to take the top spot by 2040 46 . Heart rate, a vital parameter to evaluate one's cardiovascular function and status, is regarded as an essential physiological indicator and should be regularly monitored to prevent cardiovascular disease 47,48 . In this context, more and more research interests were centered on exploiting wearable heart rate monitoring devices mainly based on piezoresistive, piezoelectric, triboelectric and capacitive effects.…”

Performance of Different Accelerometry-Based Metrics to Estimate Oxygen Consumption during Track and Treadmill Locomotion over a Wide Intensity Range

“…We have devised the mean amplitude deviation (MAD) of the resultant acceleration signal as a metric for comparable classification of PA intensity irrespective of substantial differences in measurement ranges and sampling rates of different accelerometer brands [7]. Several other researchers have evaluated the performance of the MAD metric and found it at least satisfactory [8][9][10][11][12][13][14][15]. The initial MAD method provides a valid and accurate estimate of incident VO 2 within a wide range of walking and running speeds on track locomotion [16].…”