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New strategies of physical activity assessment in cystic fibrosis: a pilot study
2020
BMC Pulmonary Medicine
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Results There was a good agreement between SWA and Fitbit for number of steps (p = 0.605) and energy expenditure (p = 0.143). iOS smartphones were similar to SWA in monitoring the number of steps (p = ...
Background Regular physical activity (PA) is a valued part of cystic fibrosis (CF) care. ...
Acknowledgements The authors would like to express their gratitude to physiotherapist Dario Asciutti and Marco Rivolta for the stimulating discussion we had on this study. ...
doi:10.1186/s12890-020-01313-5
pmid:33126875
fatcat:c5dy6x44nnba3ptzfau4ovy24y
Monitoring Physical Activity and Mental Stress Using Wrist-Worn Device and a Smartphone
[chapter]
2017
Lecture Notes in Computer Science
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The paper presents a smartphone application for monitoring physical activity and mental stress. ...
The evaluation showed that we recognize a wide range of atomic activities with an accuracy of 87 %, and that we outperform the state-of-the art consumer devices in the estimation of energy expenditure. ...
Wearable devices and mobile applications with accurate monitoring of physical activity and mental stress modules could offer such solutions. ...
doi:10.1007/978-3-319-71273-4_42
fatcat:fbbd2hc4gjaejir5squk66ujwi
Validity of the Samsung Phone S Health application for assessing steps and energy expenditure during walking and running: Does phone placement matter?
2016
Digital Health
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Steps and energy expenditure from the S Health app were compared with StepWatch 3 Step Activity Monitor steps and indirect calorimetry. ...
The emergence of mHealth and the utilization of smartphones in physical activity interventions warrant a closer examination of validity evidence for such technology. ...
There have been very few studies that have examined the accuracy of smartphone devices with commercially available or privately developed apps to measure physical activity (steps or energy expenditure) ...
doi:10.1177/2055207616652747
pmid:29942556
pmcid:PMC6001243
fatcat:4a3h2qdlljcmhpxnxwdh4hefu4
How to Measure Sedentary Behavior at Work?
2019
Frontiers in Public Health
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There are many subjective (questionnaires) and objective methods (monitoring with wearable devices) available to determine SB. ...
For smaller groups, SB at work can be objectively measured with wearable devices (accelerometers, heart-rate monitors, pressure meters, goniometers, electromyography meters, gas-meters) and the results ...
HR monitors are able to capture energy expenditure during working activities and to categorize levels of physical activity. ...
doi:10.3389/fpubh.2019.00167
pmid:31355172
pmcid:PMC6633074
fatcat:tbnqptq3kvcghfbjyggqdetq3u
Comparing the Validity of a GPS Monitor and a Smartphone Application to Measure Physical Activity
2017
Journal of Mobile Technology in Medicine
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The participant wore the Garmin GPS on the left wrist and a smartphone with the Runkeeper application activated on the left arm. ...
Distance was compared against an objectively measured distance with three different methods and energy expenditure estimates for each monitor was evaluated relative to criterion values concurrently obtained ...
It has the ability to track running and walking sessions separately and calculate energy expenditure based on these activities. ...
doi:10.7309/jmtm.6.2.4
fatcat:ifvo7ig62vfovdqi5cmr7itu7m
Scientifically validated applications for monitoring the practice of physical activities and energy expenditure using the smartphone accelerometer: a integrative review
2021
Research, Society and Development
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Conclusion: The results induced the effectiveness of smartphone's accelerometer to recognize physical activity and energy expenditure. ...
Mobile technologies, especially smartphone applications, have contributed a lot in the area of health and physical activity, but there is an increasing concern with the validation criteria of these tools ...
The search in the databases was carried out using the following keywords: Apps, smartphone, energy expenditure, accelerometry, physical activity, smartphone software, mobile application. ...
doi:10.33448/rsd-v10i13.21399
fatcat:obydh42ztrc3fdyy6captja63u
Energy Expenditure Estimation using Smartphone Body Sensors
2013
Proceedings of the 8th International Conference on Body Area Networks
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Energy Expenditure Estimation (EEE) is an important step in tracking personal activity and preventing chronic diseases such as obesity, diabetes and cardiovascular diseases. ...
Using Artificial Neural Networks, a machine learning technique, we build a generic regression model for EEE that yields upto 89% correlation with actual Energy Expenditure (EE). ...
Heart rate monitors have been used as stand-alone devices or along with accelerometer sensors to collect data and predict energy expenditure. ...
doi:10.4108/icst.bodynets.2013.253699
dblp:conf/bodynets/PandeZDMMSHH13
fatcat:nw6zee7yffcdvig752a4toz4cy
Estimation of Physical Activity Level and Ambient Condition Thresholds for Respiratory Health using Smartphone Sensors
[article]
2021
arXiv
pre-print
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The calculations are based on the correlation between Signal Magnitude Area (SMA) and Energy Expenditure (EE). ...
Maintaining a balance by monitoring the type and the level of physical activities of affected individuals, could help in reducing the cost and burden of managing respiratory ailments. ...
and gadgets to estimate energy expenditure with the attendant practical limitations. ...
arXiv:2112.09068v1
fatcat:3rdbd2utivd3nddvweqgatejm4
Validation of Wearable Devices to Measure Energy Consumption
2020
The Asian Journal of Kinesiology
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Fitbit Surge did not correlate with the gas analyzer for measuring energy expenditure under any conditions, and significantly overestimated energy expenditure. ...
CONCLUSION The validity of energy expenditure measurement during outdoor activities using wearable devices is still low, and more valid motion detection sensors and algorithms need to be developed. ...
The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. ...
doi:10.15758/ajk.2020.22.1.33
fatcat:krzdbhcw4jchpfb7veddcj4u7e
Preliminary Validation Study of Consumer-level Activity Monitors and Mobile Applications for Step Counting under Free Living Conditions
2017
Journal of Mobile Technology in Medicine
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The last decade's technological advances have spurred a continuously increasing interest in objective monitoring of physical activity with the use of wearable devices. ...
smartphones, under free-living conditions. ...
any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous 3 years; no other relationships or activities ...
doi:10.7309/jmtm.6.1.4
fatcat:heg7yvkr6rhabcp3gouvxr3ny4
How consumer physical activity monitors could transform human physiology research
2017
American Journal of Physiology. Regulatory Integrative and Comparative Physiology
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How consumer physical activity monitors could transform human physiology research. ...
Collier, and K. Sandberg), and R01-HL-119380 (to K. Sandberg).
DISCLOSURES No conflicts of interest, financial or otherwise, are declared by the authors. ...
Mellman for his review and valuable feedback and recommendations for the manuscript.
GRANTS This work was supported by the following National Institutes of Health grants: TL1-TR001431 (to S. P. ...
doi:10.1152/ajpregu.00349.2016
pmid:28052867
pmcid:PMC5401997
fatcat:7fhtgmnywjd3hd6nux4cm6w7p4
Tracking the Evolution of Smartphone Sensing for Monitoring Human Movement
2015
Sensors
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As a result, algorithms initially developed for WAMs that "count" steps (i.e., pedometers); gauge physical activity levels; indirectly estimate energy expenditure and monitor human movement can be utilised ...
Smartphones are equipped with comparatively advanced computing capabilities, a global positioning system (GPS) receivers, and sensing capabilities (i.e., an inertial measurement unit (IMU) and more recently ...
Wearable sensors have garnered much attention in recent decades for their ability to non-invasively estimate energy expenditure [3] and remotely monitor physical movement [4] ; all of which are crucial ...
doi:10.3390/s150818901
pmid:26263998
pmcid:PMC4570352
fatcat:dw27m56y6bgebcnhjo4kal7qsi
Energy Expenditure Estimation DEMO Application
[chapter]
2013
Lecture Notes in Computer Science
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The paper presents two prototypes for the estimation of human energy expenditure during normal daily activities and exercise. ...
The first prototype employs two dedicated inertial sensors attached to the user's chest and thigh and a heart rate monitor. ...
Energy Expenditure Estimation Using Dedicated Sensors This system uses two types of sensors: two tri-axial accelerometer placed on the chest and thigh, and a heart rate monitor. ...
doi:10.1007/978-3-319-03647-2_25
fatcat:n62ayiujjjfltphcgcijnlpb3u
Using Smartphone Sensors for Improving Energy Expenditure Estimation
2015
IEEE Journal of Translational Engineering in Health and Medicine
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Energy expenditure (EE) estimation is an important factor in tracking personal activity and preventing chronic diseases, such as obesity and diabetes. ...
INDEX TERMS Accelerometer, barometer, energy expenditure, machine learning. ...
Heart rate monitors have also been used as stand-alone devices or along with accelerometer sensors to collect data and predict energy expenditure. ...
doi:10.1109/jtehm.2015.2480082
pmid:27170901
pmcid:PMC4848104
fatcat:norft2cybfh73iflbcl6ngieka
Energy expenditure estimation with wearable accelerometers
2012
2012 IEEE International Symposium on Circuits and Systems
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This paper presents a method for human activity recognition and energy expenditure estimation with two tri-axial accelerometers. ...
In the CHIRON project we aim to monitor congestive heart failure patients using wearable sensors and a smartphone. ...
This research described in this paper was carried out in the CHIRON project (Cyclic and person-centric Health management: Integrated appRoach for hOme, mobile and clinical eNvironments). ...
doi:10.1109/iscas.2012.6271906
dblp:conf/iscas/LustrekCK12
fatcat:hjpjo52i5zftvmuwcs3y4u3dxa
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