Assessing Physical Activity during Wheelchair Pushing: Validity of a Portable Accelerometer

1999 ◽  
Vol 16 (3) ◽  
pp. 290-299 ◽  
Author(s):  
Richard A. Washburn ◽  
Anne G. Copay
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Computer Science ◽  
Rest Heart Rate ◽  
Random Order ◽  
Left Wrist ◽  
Primary Mode

We assessed the validity of the Computer Science and Applications, Inc. (CSA) accelerometer as a measure of energy expenditure during wheelchair pushing. Participants completed three timed pushes over an indoor course at three different speeds while wearing a CSA accelerometer on both wrists. Pushing speeds were assigned in a random order and separated by a 5–10 min rest. Heart rate and energy expenditure were measured using an Aerosport TEEM 100. Results indicated pushing speed, heart rate, and oxygen consumption increased significantly over the three conditions (p < .01). Significant associations (p < .01) were noted between CSA readings from both wrists and energy expenditure over the three pushing speeds (left wrist, r = .66, right wrist r = .52). These results suggest that the CSA accelerometer worn at the wrist may provide a useful measure of physical activity in persons who use wheelchairs as their primary mode of locomotion.

scholarly journals A unified platform for outcome measures and exergames with 3D accelerometry

2015 ◽  
Author(s):  
Timur Nuritdinow ◽  
Christian Lederer ◽  
Martin Daumer
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Clinical Trials ◽  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Exercise Therapy ◽  
Moderate Physical Activity ◽  
Large Set ◽  
Controlled Clinical Trials ◽  
Technology Platform

Mobile accelerometry is more and more being used in clinical trials as a tool to measure outcomes related to physical activity. However, it is still difficult to integrate exercise therapy in controlled clinical trials. We want to explore the option to use a unified platform to both measure outcome and prescribe and monitor exercise therapy using the actibelt technology platform. We present a prototype based on the actibelt platform that allows to use the wearable device as a mouse controller for a large set of potentially interesting games. Playing an exergame a person is encouraged to increase its level of daily motion while engaging in an activity that is perceived as interesting and fun, thus, providing an intrinsic motivation. Studies suggest that exergaming can be compared to light or moderate physical activity considering the heart rate, oxygen consumption and energy expenditure.

Energy Expended Playing Video Console Games: An Opportunity to Increase Children’s Physical Activity?

2007 ◽  
Vol 19 (3) ◽  
pp. 334-343 ◽  
Author(s):  
Ralph Maddison ◽  
Cliona Ni Mhurchu ◽  
Andrew Jull ◽  
Yannan Jiang ◽  
Harry Prapavessis ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Oxygen Consumption ◽  
Video Games ◽  
Energy Expenditure ◽  
Physical Activities ◽  
Actigraph Accelerometer ◽  
New Generation ◽  
Children’S Physical Activity

This study sought to quantify the energy expenditure and physical activity associated with playing the “new generation” active and nonactive console-based video games in 21 children ages 10–14 years. Energy expenditure (kcal) derived from oxygen consumption (VO2) was continuously assessed while children played nonactive and active console video games. Physical activity was assessed continuously using the Actigraph accelerometer. Significant (p < .001) increases from baseline were found for energy expenditure (129–400%), heart rate (43–84%), and activity counts (122–1,288 versus 0–23) when playing the active console video games. Playing active console video games over short periods of time is similar in intensity to light to moderate traditional physical activities such as walking, skipping, and jogging.

scholarly journals Use of consumer monitors for estimating energy expenditure in youth

2020 ◽  
Vol 45 (2) ◽  
pp. 161-168 ◽  
Author(s):  
Samuel R. LaMunion ◽  
Andrew L. Blythe ◽  
Paul R. Hibbing ◽  
Andrew S. Kaplan ◽  
Brandon J. Clendenin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Left Wrist ◽  
Activity Monitors ◽  
Individual Level ◽  
Mean Absolute Percent Error ◽  
Physical Activity Monitors ◽  
The Right ◽  
Absolute Percent Error

The purpose of this study was to compare energy expenditure (EE) estimates from 5 consumer physical activity monitors (PAMs) to indirect calorimetry in a sample of youth. Eighty-nine youth (mean (SD); age, 12.3 (3.4) years; 50% female) performed 16 semi-structured activities. Activities were performed in duplicate across 2 visits. Participants wore a Cosmed K4b2(criterion for EE), an Apple Watch 2 (left wrist), Mymo Tracker (right hip), and Misfit Shine 2 devices (right hip; right shoe). Participants were randomized to wear a Samsung Gear Fit 2 or a Fitbit Charge 2 on the right wrist. Oxygen consumption was converted to EE by subtracting estimated basal EE (Schofield’s equation) from the measured gross EE. EE from each visit was summed across the 2 visit days for comparison with the total EE recorded from the PAMs. All consumer PAMs estimated gross EE, except for the Apple Watch 2 (net Active EE). Paired t tests were used to assess differences between estimated (PAM) and measured (K4b2) EE. Mean absolute percent error (MAPE) was used to assess individual-level error. The Mymo Tracker was not significantly different from measured EE and was within 15.9 kcal of measured kilocalories (p = 0.764). Mean percent errors ranged from 3.5% (Mymo Tracker) to 48.2% (Apple Watch 2). MAPE ranged from 16.8% (Misfit Shine 2 – right hip) to 49.9% (Mymo Tracker).Novelty Only the Mymo Tracker was not significantly different from measured EE but had the greatest individual error. The Misfit Shine 2 – right hip had the lowest individual error. Caution is warranted when using consumer PAMs in youth for tracking EE.

scholarly journals A unified platform for outcome measures and exergames with 3D accelerometry

2015 ◽  
Author(s):  
Timur Nuritdinow ◽  
Christian Lederer ◽  
Martin Daumer
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Clinical Trials ◽  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Exercise Therapy ◽  
Moderate Physical Activity ◽  
Large Set ◽  
Controlled Clinical Trials ◽  
Technology Platform

Mobile accelerometry is more and more being used in clinical trials as a tool to measure outcomes related to physical activity. However, it is still difficult to integrate exercise therapy in controlled clinical trials. We want to explore the option to use a unified platform to both measure outcome and prescribe and monitor exercise therapy using the actibelt technology platform. We present a prototype based on the actibelt platform that allows to use the wearable device as a mouse controller for a large set of potentially interesting games. Playing an exergame a person is encouraged to increase its level of daily motion while engaging in an activity that is perceived as interesting and fun, thus, providing an intrinsic motivation. Studies suggest that exergaming can be compared to light or moderate physical activity considering the heart rate, oxygen consumption and energy expenditure.

Energy Expenditure in Playground Games in Primary School Children Measured by Accelerometer and Heart Rate Monitors

2017 ◽  
Vol 27 (5) ◽  
pp. 467-474 ◽  
Author(s):  
Jorge Cañete García-Prieto ◽  
Vicente Martinez-Vizcaino ◽  
Antonio García-Hermoso ◽  
Mairena Sánchez-López ◽  
Natalia Arias-Palencia ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Energy Expenditure ◽  
Primary School ◽  
Correlation Coefficient ◽  
School Children ◽  
Indirect Calorimetry ◽  
Coefficient Of Variation ◽  
Primary School Children ◽  
Heart Rate Monitors

The aim of this study was to examine the energy expenditure (EE) measured using indirect calorimetry (IC) during playground games and to assess the validity of heart rate (HR) and accelerometry counts as indirect indicators of EE in children´s physical activity games. 32 primary school children (9.9 ± 0.6 years old, 19.8 ± 4.9 kg · m-2 BMI and 37.6 ± 7.2 ml · kg-1 · min-1 VO2max). Indirect calorimetry (IC), accelerometry and HR data were simultaneously collected for each child during a 90 min session of 30 playground games. Thirty-eight sessions were recorded in 32 different children. Each game was recorded at least in three occasions in other three children. The intersubject coefficient of variation within a game was 27% for IC, 37% for accelerometry and 13% for HR. The overall mean EE in the games was 4.2 ± 1.4 kcals · min-1 per game, totaling to 375 ± 122 kcals/per 90 min/session. The correlation coefficient between indirect calorimetry and accelerometer counts was 0.48 (p = .026) for endurance games and 0.21 (p = .574) for strength games. The correlation coefficient between indirect calorimetry and HR was 0.71 (p = .032) for endurance games and 0.48 (p = .026) for strength games. Our data indicate that both accelerometer and HR monitors are useful devices for estimating EE during endurance games, but only HR monitors estimates are accurate for endurance games.

Energy expenditure by elite midget male ice hockey players in small-sided games

2017 ◽  
Vol 12 (4) ◽  
pp. 504-513 ◽  
Author(s):  
Charles-Mathieu Lachaume ◽  
François Trudeau ◽  
Jean Lemoyne
Keyword(s):  
Heart Rate ◽  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Ice Hockey ◽  
Training Method ◽  
Hockey Players ◽  
Treadmill Testing ◽  
Effective Training ◽  
Relationship Of ◽  
The Relationship

The purpose of this study was to investigate the energy expenditure and heart rate responses elicited in elite male midget ice hockey players during small-sided games. Nine players (aged 15.89 ± 0.33 years) participated in the study. Maximal progressive treadmill testing in the laboratory measured the relationship of oxygen consumption ([Formula: see text]) to heart rate before on-ice assessments of heart rate during six different small-sided games: 1v1, 2v2, 2v2 with support player, 3v3 with support player, 3v3 with transitions, and 4v4 with two support players. Heart rate was recorded continuously in each game. 3v3 T small-sided game was the most intense for all four intensity markers. All six small-sided games reached 89% HRmax or more with heart rate peaks in active effort repetition. These findings demonstrate that such small-sided games are considered as high intensity games and are an effective training method for ice hockey players.

Physiological and Metabolic Responses to Exercise on Treadmill, Elliptical Trainer, and Stepper: Practical Implications for Training

2020 ◽  
pp. 1-8
Author(s):  
Andrew N. Bosch ◽  
Kirsten C. Flanagan ◽  
Maaike M. Eken ◽  
Adrian Withers ◽  
Jana Burger ◽  
...  
Keyword(s):  
Heart Rate ◽  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Physiological Responses ◽  
Maximal Oxygen Consumption ◽  
Metabolic Responses ◽  
Physiological Measures ◽  
Fuel Utilization ◽  
Trained Runners ◽  
Practical Implications

Elliptical trainers and steppers are proposed as useful exercise modalities in the rehabilitation of injured runners due to the reduced stress on muscles and joints when compared to running. This study compared the physiological responses to submaximal running (treadmill) with exercise on the elliptical trainer and stepper devices at three submaximal but identical workloads. Authors had 18 trained runners (male/female: N = 9/9, age: mean ± SD = 23 ± 3 years) complete randomized maximal oxygen consumption tests on all three modalities. Submaximal tests of 3 min were performed at 60%, 70%, and 80% of peak workload individually established for each modality. Breath-by-breath oxygen consumption, heart rate, fuel utilization, and energy expenditure were determined. The value of maximal oxygen consumption was not different between treadmill, elliptical, and stepper (49.3 ± 5.3, 48.0 ± 6.6, and 46.7 ± 6.2 ml·min−1·kg−1, respectively). Both physiological measures (oxygen consumption and heart rate) as well as carbohydrate and fat oxidation differed significantly between the different exercise intensities (60%, 70%, and 80%) but did not differ between the treadmill, elliptical trainer, and stepper. Therefore, the elliptical trainer and stepper are suitable substitutes for running during periods when a reduced running load is required, such as during rehabilitation from running-induced injury.

scholarly journals WHICH IS THE BEST WAY TO PERFORM THE PHYSIOLOGICAL COST INDEX IN ACTIVE INDIVIDUALS WITH UNILATERAL TRANS-TIBIAL AMPUTATION?

2019 ◽  
Author(s):  
Stefano Brunelli ◽  
Andrea Sancesario ◽  
Marco Iosa ◽  
Anna Sofia Delussu ◽  
Noemi Gentileschi ◽  
...  
Keyword(s):  
Heart Rate ◽  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Energy Cost ◽  
Limb Amputation ◽  
Alternative Measure ◽  
Cost Index ◽  
Physiological Cost ◽  
Fitness Training ◽  
Energy Cost Of Walking

BACKGROUND: Physiological Cost Index (PCI) is a simple method used to estimate energy expenditure during walking. It is based on a ratio between heart rate and self-selected walking speed. Previous studies reported that PCI is reliable in individuals with lower limb amputation but only if there is an important walking impairment. No previous studies have investigated the correlation of PCI with the Energy Cost Walking (ECW) in active individuals with traumatic unilateral trans-tibial amputation, considering that this particular category of amputees has an ECW quite similar to healthy individual without lower limb amputation. Moreover, it is important to determine if PCI is also correlated to ECW in the treadmill test so as to have an alternative to over-ground test. OBJECTIVES: The aim of this study was to evaluate the correlation between PCI and ECW in active individuals with traumatic trans-tibial amputation in different walking conditions. The secondary aim was to evaluate if this correlation permits to determine ECW from PCI values. METHODOLOGY: Ninety traumatic amputees were enrolled. Metabolic data, heart rate and walking speed for the calculation of ECW and for PCI were computed over-ground and on a treadmill with 0% and 12% slopes during a 6-minute walking test. FINDINGS: There is a significant correlation between ECW and PCI walking over-ground (p=0.003; R2=0.10) and on treadmill with 12% slopes (p=0.001; R2=0.11) but there is only a poor to moderate correlation around the trendline. No significant correlation was found walking on treadmill with 0% slope. The Bland-Altman plot analysis suggests that is not possible to evaluate ECW directly from PCI. CONCLUSIONS: PCI is a reliable alternative measure of energy expenditure during walking in active individuals with trans-tibial amputation when performing over-ground or at high intensity effort on treadmill. PCI is therefore useful only for monitoring a within subject assessment. LAYMAN’S ABSTRACT The knowledge of the energy cost of walking in disabled people is important to improve strategies of rehabilitation or fitness training and to develop new prosthetic and orthotic components. The “gold standard” for the evaluation of the energy cost of walking is the oxygen consumption measurement with a metabolimeter, but the testing procedure is expensive and time consuming, hardly practicable in many rehabilitation centers. The Physiological Cost Index (PCI) is an indirect tool that evaluates the oxygen consumption during walking. PCI considers heart rate during walking, in relation to the speed, as an indicator of energy expenditure. The formula is “walking heart rate – resting heart rate /speed”. PCI is widely used in literature but there is not a solid evidence of a direct correlation between PCI and energy cost of walking. In particular, for individuals with unilateral trans-tibial amputation without comorbidities, no previous studies have been conducted about this correlation. It has to be noticed that individuals with unilateral trans-tibial amputation have an energy cost of walking quite similar to healthy people. Previous studies reported that in healthy people such correlation does not exist. For this reason, the aim of this study was to evaluate if and in which walking condition a linear correlation exists between PCI and Energy Cost Walking in individuals with unilateral trans-tibial amputation. Oxygen consumption measurement with a metabolimeter and PCI were computed over-ground and on a treadmill with 0% and 12% slopes during a 6-minute walking test in 90 participants. We have found that PCI is an alternative measure of energy cost of walking when performing over-ground or with high intensity effort on treadmill (12% slope). These findings could be useful when PCI is used for monitoring a fitness training or for evaluation tests. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/32953/25717 How to Cite: Brunelli S, Sancesario A, Iosa M, Delussu A.S, Gentileschi N, Bonanni C, Foti C, Traballesi M. Which is the best way to perform the Physiological Cost Index in active individuals with unilateral trans-tibial amputation? Canadian Prosthetics & Orthotics Journal. Volume2, Issue1, No.5, 2019. https://doi.org/10.33137/cpoj.v2i1.32953. CORRESPONDING AUTHOR: Dr. Stefano Brunelli,Fondazione Santa Lucia, IRCCS, Via Ardeatina 306, 00179 Rome, Italy.ORCID: https://orcid.org/0000-0002-5986-1564Tel. +39 0651501844; Fax +39 0651501919E-MAIL: [email protected]

scholarly journals Investigating the effect of the body mass index (BMI) values on the behavior of human energy expenditure

2020 ◽  
Vol 18 (5) ◽  
Author(s):  
Sugiono Sugiono ◽  
Sudjito Suparman ◽  
Teguh Oktiarso ◽  
Willy Satrio
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Rest Heart Rate ◽  
Critical Factor ◽  
Recovery Process ◽  
Recovery Phase ◽  
The Body ◽  
Office Workers ◽  
Healthy Weight ◽  
Human Energy

Employee durability is a critical factor to improve a company performance. Company management must control employee health conditions. The purpose of this paper is to determine the effect of office worker’s BMI variation on human energy expenditure behavior including the recovery process. This study started with literature reviews of BMI, human biology, energy expenditure, and physiology ergonomics. The data was collected randomly from 126 nonphysical office workers in productive ages from 20 to 40 years old. The BMI, resting heart rate, activity heart rate, and recovery heart rate of all respondents then recorded. The results shows that the respondents BMI scores are classified into underweight (BMI <18.5) with totaling = 4%, healthy weight (18.5 ≤ BMI ≤ 22.9) = 34.1%, light obesity (23 ≤ BMI ≤ 24.9) = 23%, medium obesity (25 ≤ BMI ≤ 29.9) = 29.4%, and weight obesity (BMI> 30) = 9.5%. The underweight class has the lowest average rest heart rate = 68.6 bpm and the overweight class has the highest average rest heart rate = 84.6 bpm. Consequently, heart rate during activity for each class from underweight to overweight is 88.4 bpm, 90.9 bpm, 93.3 bpm, 95.1 bpm, and 98.6 bpm. With the same order, the heart rate reduction percentage during the recovery phase is 4.6%, 11.0%, 13.1%, 16.0%, and 8.8%. In brief, the BMI variation strongly correlated with Time to Recovery (TTR) of nonphysical office workers.

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