Fitbit®: An accurate and reliable device for wireless physical activity tracking

Primary care providers' perceptions of physical activity counselling in a clinical setting: a systematic review

Hébert, E. T., Caughy, M. O., & Shuval, K. (2012) · British Journal of Sports Medicine · doi:10.1136/bjsports-2011-090734 · Cited by 418

Physical Activity Promotion in the Health Care System

VUORI, I. M., Lavie, C. J., & Blair, S. N. (2013) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2013.08.020 · Cited by 344

Clinical Counseling for Physical Activity: Translation of a Systematic Review Into Care Recommendations

VanWormer, J. J., Pronk, N. P., & Kroeninger, G. J. (2009) · Diabetes Spectrum · doi:10.2337/diaspect.22.1.48 · Cited by 35

Systematic review of the validity and reliability of consumer-wearable activity trackers

Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0314-1 · Cited by 1,232

Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review

Fuller, D., Colwell, E., Low, J., Orychock, K., Tobin, M. A., Simango, B., Buote, R., Van Heerden, D., Luan, H., Cullen, K., et al. (2020) · JMIR mHealth and uHealth · doi:10.2196/18694 · Cited by 715

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

Zhang, S., Li, Y., Zhang, S., Shahabi, F., Xia, S., Deng, Y., & Alshurafa, N. (2022) · Sensors · doi:10.3390/s22041476 · Cited by 625

Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity

Sullivan, A. N., & Lachman, M. E. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2016.00289 · Cited by 458

Wearable and Miniaturized Sensor Technologies for Personalized and Preventive Medicine

Tricoli, A., Nasiri, N., & De, S. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201605271 · Cited by 352

Variable Accuracy of Wearable Heart Rate Monitors during Aerobic Exercise

GILLINOV, S., ETIWY, M., WANG, R., BLACKBURN, G., PHELAN, D., GILLINOV, A. M., HOUGHTALING, P., JAVADIKASGARI, H., & DESAI, M. Y. (2017) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001284 · Cited by 345

Wearable fitness technology: A structural investigation into acceptance and perceived fitness outcomes

Lunney, A., Cunningham, N., & Eastin, M. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.08.007 · Cited by 329

Heart Rate Estimation From Wrist-Worn Photoplethysmography: A Review

Biswas, D., Simões‐Capela, N., Hoof, C. A. V., & Helleputte, N. V. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2914166 · Cited by 273

Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices

Dooley, E. E., Golaszewski, N. M., & Bartholomew, J. B. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7043 · Cited by 242

Diving into Sweat: Advances, Challenges, and Future Directions in Wearable Sweat Sensing

Childs, A., Mayol, B., Lasalde‐Ramírez, J. A., Song, Y., Sempionatto, J. R., & Gao, W. F. (2024) · ACS Nano · doi:10.1021/acsnano.4c10344 · Cited by 241

Review on occupant-centric thermal comfort sensing, predicting, and controlling

Xie, J., Li, H., Li, C., Zhang, J., & Luo, M. (2020) · Energy and Buildings · doi:10.1016/j.enbuild.2020.110392 · Cited by 214

Validity of the Empatica E4 Wristband to Measure Heart Rate Variability (HRV) Parameters: a Comparison to Electrocardiography (ECG)

Schuurmans, A. A. T., de Looff, P., Nijhof, K. S., Rosada, C., Scholte, R. H. J., Popma, A., & Otten, R. (2020) · Journal of Medical Systems · doi:10.1007/s10916-020-01648-w · Cited by 210

Acceptance and use predictors of fitness wearable technology and intention to recommend

Talukder, M. S., Chiong, R., Bao, Y., & Malik, B. H. (2018) · Industrial Management & Data Systems · doi:10.1108/imds-01-2018-0009 · Cited by 248

How well do activity monitors estimate energy expenditure? A systematic review and meta-analysis of the validity of current technologies

O’Driscoll, R., Turicchi, J., Beaulieu, K., Scott, S., Matu, J., Deighton, K., Finlayson, G., & Stubbs, R. J. (2018) · British Journal of Sports Medicine · doi:10.1136/bjsports-2018-099643 · Cited by 202

Validity of the Fitbit activity tracker for measuring steps in community-dwelling older adults

Paul, S. S., Tiedemann, A., Hassett, L. M., Ramsay, E., Kirkham, C., Chagpar, S., & Sherrington, C. (2015) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2015-000013 · Cited by 164

Sensitivity study for the PMV thermal comfort model and the use of wearable devices biometric data for metabolic rate estimation

Hasan, M. H., Alsaleem, F., & Rafaie, M. (2016) · Building and Environment · doi:10.1016/j.buildenv.2016.10.007 · Cited by 161

Current, future and potential use of mobile and wearable technologies and social media data in the ABCD study to increase understanding of contributors to child health

Bagot, K. S., Matthews, S. A., Mason, M., Squeglia, L. M., Fowler, J., Gray, K., Herting, M., May, A., Colrain, I., Godino, J., et al. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.03.008 · Cited by 145

Walk to a better night of sleep: testing the relationship between physical activity and sleep

Bisson, A., Robinson, S. A., & Lachman, M. E. (2019) · Sleep Health · doi:10.1016/j.sleh.2019.06.003 · Cited by 164

Older Adults’ Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity

McMahon, S., Lewis, B. A., Oakes, J. M., Guan, W., Wyman, J. F., & Rothman, A. J. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5120 · Cited by 143

Wearable device adoption among older adults: A mixed-methods study

Farivar, S., Abouzahra, M., & Ghasemaghaei, M. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102209 · Cited by 161

Validity of Different Activity Monitors to Count Steps in an Inpatient Rehabilitation Setting

Treacy, D., Hassett, L. M., Schurr, K., Chagpar, S., Paul, S. S., & Sherrington, C. (2017) · Physical Therapy · doi:10.1093/ptj/pzx010 · Cited by 141

USE OF CONSUMER WEARABLE DEVICES TO PROMOTE PHYSICAL ACTIVITY: A REVIEW OF HEALTH INTERVENTION STUDIES

Department of Clinical and Digital Health Sciences, C. O. A. H. S., Coughlin, S. S., & Stewart, J. (2016) · Journal of Environment and Health Science · doi:10.15436/2378-6841.16.1123 · Cited by 137

SenseGen: A deep learning architecture for synthetic sensor data generation

Alzantot, M., Chakraborty, S., & Srivastava, M. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2017.7917555 · Cited by 153

Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies

Welk, G. J., Bai, Y., Lee, J. M., Godino, J., Saint‐Maurice, P. F., & Carr, L. J. (2019) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001966 · Cited by 142

Accuracy of commercially available heart rate monitors in athletes: a prospective study

Pasadyn, S. R., Soudan, M., Gillinov, M., Houghtaling, P., Phelan, D., Gillinov, N., Bittel, B., & Desai, M. Y. (2019) · Cardiovascular Diagnosis and Therapy · doi:10.21037/cdt.2019.06.05 · Cited by 135

Microdosing with psilocybin mushrooms: a double-blind placebo-controlled study

Cavanna, F., Muller, S. L., de la Fuente, L. A., Zamberlán, F., Palmucci, M., Janeckova, L., Kuchař, M., Pallavicini, C., & Tagliazucchi, E. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02039-0 · Cited by 157

Criterion-Validity of Commercially Available Physical Activity Tracker to Estimate Step Count, Covered Distance and Energy Expenditure during Sports Conditions

Wahl, Y., Düking, P., Droszez, A., Wahl, P., & Mester, J. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00725 · Cited by 133

Validity and reliability of Fitbit activity monitors compared to ActiGraph GT3X+ with female adults in a free-living environment

Reid, R. E. R., Insogna, J. A., Carver, T. E., Comptour, A. M., Bewski, N. A., Sciortino, C. D., & Andersen, R. E. (2016) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2016.10.015 · Cited by 143

Comparison of wrist-worn Fitbit Flex and waist-worn ActiGraph for measuring steps in free-living adults

Chu, A. H. Y., Ng, S. H.-X., Paknezhad, M., Gauterin, A., Koh, D. S. Q., Brown, M. S., & Müller‐Riemenschneider, F. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172535 · Cited by 127

Wrist-worn and chest-strap wearable devices: Systematic review on accuracy and metrological characteristics

Cosoli, G., Spinsante, S., & Scalise, L. (2020) · Measurement · doi:10.1016/j.measurement.2020.107789 · Cited by 131

Assessment of laboratory and daily energy expenditure estimates from consumer multi-sensor physical activity monitors

Chowdhury, E. A., Western, M. J., Nightingale, T. E., Peacock, O. J., & Thompson, D. (2017) · PLOS ONE · doi:10.1371/journal.pone.0171720 · Cited by 118

Evaluating the Consistency of Current Mainstream Wearable Devices in Health Monitoring: A Comparison Under Free-Living Conditions

Wen, D., Zhang, X., Liu, X., & Lei, J. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6874 · Cited by 111

Novel Flexible Wearable Sensor Materials and Signal Processing for Vital Sign and Human Activity Monitoring

Servati, A., Zou, L., Wang, Z. J., Ko, F., & Servati, P. (2017) · Sensors · doi:10.3390/s17071622 · Cited by 112

Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions

Dominick, G. M., Winfree, K. N., Pohlig, R. T., & Papas, M. A. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6281 · Cited by 102

The gap between clinically assessed physical performance and objective physical activity in liver transplant candidates

Dunn, M. A., Josbeno, D. A., Schmotzer, A. R., Tevar, A. D., DiMartini, A. F., Landsittel, D. P., & Delitto, A. (2016) · Liver Transplantation · doi:10.1002/lt.24506 · Cited by 102

Reliability of Zephyr Bioharness and Fitbit Charge Measures of Heart Rate and Activity at Rest, During the Modified Canadian Aerobic Fitness Test, and Recovery

Nazari, G., MacDermid, J. C., Sinden, K. E., Richardson, J. A., & Tang, A. (2017) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000001842 · Cited by 99

Estimating Physical Activity and Sedentary Behavior in a Free-Living Context: A Pragmatic Comparison of Consumer-Based Activity Trackers and ActiGraph Accelerometry

Gomersall, S. R., Ng, N., Burton, N. W., Pavey, T., Gilson, N. D., & Brown, W. J. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5531 · Cited by 96

Does Stress Result in You Exercising Less? Or Does Exercising Result in You Being Less Stressed? Or Is It Both? Testing the Bi-directional Stress-Exercise Association at the Group and Person (N of 1) Level

Burg, M. M., Schwartz, J. E., Kronish, I. M., Diaz, K. M., Alcántara, C., Duer-Hefele, J., & Davidson, K. W. (2017) · Annals of Behavioral Medicine · doi:10.1007/s12160-017-9902-4 · Cited by 104

Validity of Fitbit’s active minutes as compared with a research-grade accelerometer and self-reported measures

Brewer, W., Swanson, B. T., & Ortíz, A. (2017) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2017-000254 · Cited by 89

Challenges in wireless communication for connected sensors and wearable devices used in sport biofeedback applications

Kos, A., Milutinović, V. M., & Umek, A. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.03.032 · Cited by 90

Challenges in tackling energy expenditure as obesity therapy: From preclinical models to clinical application

Löffler, M. C., Betz, M. J., Blondin, D. P., Augustin, R., Sharma, A. K., Tseng, Y., Schéele, C., Zimdahl, H., Mark, M., Hennige, A. M., et al. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101237 · Cited by 99

Validation of the Fitbit One, Garmin Vivofit and Jawbone UP activity tracker in estimation of energy expenditure during treadmill walking and running

Price, K. J., Bird, S. R., Lythgo, N., Raj, I. S., Wong, J., & Lynch, C. (2016) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2016.1253795 · Cited by 87

Promise of Wearable Physical Activity Monitors in Oncology Practice

Beg, M. S., Gupta, A., Stewart, T. F., & Rethorst, C. D. (2017) · Journal of Oncology Practice · doi:10.1200/jop.2016.016857 · Cited by 85

Machine Learning Algorithms Can Use Wearable Sensor Data to Accurately Predict Six-Week Patient-Reported Outcome Scores Following Joint Replacement in a Prospective Trial

Bini, S. A., Shah, R. F., Bendich, I., Patterson, J. T., Hwang, K., & Zaid, M. B. (2019) · The Journal of Arthroplasty · doi:10.1016/j.arth.2019.07.024 · Cited by 81

Communication Requirements in 5G-Enabled Healthcare Applications: Review and Considerations

Qureshi, H. N., Manalastas, M., Ijaz, A., Imran, A., Liu, Y., & Kalaa, M. O. A. (2022) · Healthcare · doi:10.3390/healthcare10020293 · Cited by 84

Functional Tests in Chronic Obstructive Pulmonary Disease, Part 1: Clinical Relevance and Links to the International Classification of Functioning, Disability, and Health

Bui, K.-L., Nyberg, A., Maltais, F., & Saey, D. (2017) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201609-733as · Cited by 84

A Mobile Health Application to Track Patients After Gastrointestinal Surgery: Results from a Pilot Study

Symer, M. M., Abelson, J. S., Milsom, J. W., McClure, B., & Yeo, H. (2017) · Journal of Gastrointestinal Surgery · doi:10.1007/s11605-017-3482-2 · Cited by 80

How Accurate Is Your Activity Tracker? A Comparative Study of Step Counts in Low-Intensity Physical Activities

Alinia, P., Cain, C. R., Fallahzadeh, R., Shahrokni, A., Cook, D. J., & Ghasemzadeh, H. G. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6321 · Cited by 75

A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data

Meng, Y., Speier, W. F., SHUFELT, C. L., Joung, S. Y., Eyk, J. E. V., Merz, C. N. B., Lopez, M., Spiegel, B. M. R., & Arnold, C. W. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2922178 · Cited by 83

Validation of a Wearable Sensor for Measuring Running Biomechanics

Koldenhoven, R. M., & Hertel, J. N. (2018) · Digital Biomarkers · doi:10.1159/000491645 · Cited by 71

Measurement of physical activity in the pre- and early post-operative period after total knee arthroplasty for Osteoarthritis using a Fitbit Flex device

Twiggs, J., Salmon, L. J., Kolos, E. C., Bogue, E., Miles, B., & Roe, J. P. (2017) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2017.10.007 · Cited by 71

Development of a human metabolic rate prediction model based on the use of Kinect-camera generated visual data-driven approaches

Na, H., Choi, J.-H., Kim, H.-S., & Kim, T. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.106216 · Cited by 69

Combining Web-Based Gamification and Physical Nudges With an App (MoveMore) to Promote Walking Breaks and Reduce Sedentary Behavior of Office Workers: Field Study

Mamede, A., Noordzij, G., Jongerling, J., Snijders, M., Schop-Etman, A., & Denktaş, S. (2021) · Journal of Medical Internet Research · doi:10.2196/19875 · Cited by 71

Use of consumer wearable devices to promote physical activity among breast, prostate, and colorectal cancer survivors: a review of health intervention studies

Coughlin, S. S., Caplan, L. S., & Stone, R. B. (2020) · Journal of Cancer Survivorship · doi:10.1007/s11764-020-00855-1 · Cited by 69

Using Behavioral Analytics to Increase Exercise: A Randomized N-of-1 Study

Yoon, S., Schwartz, J. E., Burg, M. M., Kronish, I. M., Alcántara, C., Julian, J., Parsons, F., Davidson, K. W., & Diaz, K. M. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2017.12.011 · Cited by 67

Daily Associations Between Sleep and Physical Activity

Mead, M. P., Baron, K. G., Sorby, M., & Irish, L. A. (2019) · International Journal of Behavioral Medicine · doi:10.1007/s12529-019-09810-6 · Cited by 71

Assessing the Effects of Interpersonal and Intrapersonal Behavior Change Strategies on Physical Activity in Older Adults: a Factorial Experiment

McMahon, S., Lewis, B. A., Oakes, J. M., Wyman, J. F., Guan, W., & Rothman, A. J. (2017) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9863-z · Cited by 72

Activity trackers, prior motivation, and perceived informational and motivational affordances

Jarrahi, M. H., Gafinowitz, N., & Shin, G. D. (2017) · Personal and Ubiquitous Computing · doi:10.1007/s00779-017-1099-9 · Cited by 77

Physical activity measurement in older adults: Wearables versus self-report

VandeBunte, A. M., Gontrum, E. Q., Goldberger, L., Fonseca, C. S., Djukic, N. A., You, M. Y., Kramer, J. H., & Casaletto, K. B. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.869790 · Cited by 72

A randomized controlled trial testing a social network intervention to promote physical activity among adolescents

van Woudenberg, T. J., Bevelander, K. E., Burk, W. J., Smit, C. R., Buijs, L., & Buijzen, M. (2018) · BMC Public Health · doi:10.1186/s12889-018-5451-4 · Cited by 61

Internet Gaming Disorder: the interplay between physical activity and user–avatar relationship

Liew, L. W. L., Stavropoulos, V., Adams, B. L. M., Burleigh, T. L., & Griffiths, M. D. (2018) · Behaviour and Information Technology · doi:10.1080/0144929x.2018.1464599 · Cited by 63

Determining Physical Activity Characteristics From Wristband Data for Use in Automated Insulin Delivery Systems

Sevil, M., Rashid, M. M., Maloney, Z., Hajizadeh, I., Samadi, S., Askari, M. R., Hobbs, N., Brandt, R., Park, M., Quinn, L., et al. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3000772 · Cited by 61

Binary CorNET: Accelerator for HR Estimation From Wrist-PPG

Rocha, L. M. G., Biswas, D., Verhoef, B.-E., Bampi, S., Hoof, C. A. V., Konijnenburg, M., Verhelst, M., & Helleputte, N. V. (2020) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2020.3001675 · Cited by 57

Fully integrated wearable impedance cytometry platform on flexible circuit board with online smartphone readout

Furniturewalla, A., Chan, M., Sui, J., Ahuja, K., & Javanmard, M. (2018) · Microsystems & Nanoengineering · doi:10.1038/s41378-018-0019-0 · Cited by 56

Validation of the Fitbit Zip for monitoring physical activity among free-living adolescents

Schneider, M. L., & Chau, L. (2016) · BMC Research Notes · doi:10.1186/s13104-016-2253-6 · Cited by 56

A wearables-based approach to detect and identify momentary engagement in afterschool Makerspace programs

Lee, V. R., Fischback, L., & Cain, R. (2019) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2019.101789 · Cited by 59

The relationship of personality and behavior change in a physical activity intervention: The role of conscientiousness and healthy neuroticism

Stieger, M., Robinson, S. A., Bisson, A., & Lachman, M. E. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110224 · Cited by 65

Physical activity and atrial fibrillation: Data from wearable fitness trackers

Semaan, S., Dewland, T. A., Tison, G. H., Nah, G., Vittinghoff, E., Pletcher, M. J., Olgin, J. E., & Marcus, G. M. (2020) · Heart Rhythm · doi:10.1016/j.hrthm.2020.02.013 · Cited by 52

Toward Harmonized Treadmill-Based Validation of Step-Counting Wearable Technologies: A Scoping Review

Moore, C. C., McCullough, A. K., Aguiar, E. J., Ducharme, S. W., & Tudor-Locke, C. E. (2020) · Journal of Physical Activity and Health · doi:10.1123/jpah.2019-0205 · Cited by 52

Electronic wearable device and physical activity among US adults: An analysis of 2019 HINTS data

Xie, Z., Jo, A., & Hong, Y. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104297 · Cited by 51

Cut points of the Actigraph GT9X for moderate and vigorous intensity physical activity at four different wear locations

Rhudy, M. B., Dreisbach, S. B., Moran, M. D., Ruggiero, M., & Veerabhadrappa, P. (2019) · Journal of Sports Sciences · doi:10.1080/02640414.2019.1707956 · Cited by 49

Physical activity among children: objective measurements using Fitbit One® and ActiGraph

Hamari, L., Kullberg, T., Ruohonen, J., Heinonen, O. J., Díaz-Rodríguez, N., Lilius, J., Pakarinen, A., Myllymäki, A., Leppänen, V., & Salanterä, S. (2017) · BMC Research Notes · doi:10.1186/s13104-017-2476-1 · Cited by 48

Wearable-Based Mobile Health App in Gastric Cancer Patients for Postoperative Physical Activity Monitoring: Focus Group Study

Wu, J., Ho, T., Chang, Y., Hsu, C., Tsai, C. J., Lai, F., & Lin, M. (2019) · JMIR mhealth and uhealth · doi:10.2196/11989 · Cited by 46

Tracking Steps on Apple Watch at Different Walking Speeds

Veerabhadrappa, P., Moran, M. D., Renninger, M. D., Rhudy, M. B., Dreisbach, S. B., & Gift, K. M. (2018) · Journal of General Internal Medicine · doi:10.1007/s11606-018-4332-y · Cited by 48

Wearable sensors for continuous oral cavity and dietary monitoring toward personalized healthcare and digital medicine

Hong, W., & Lee, W. G. (2020) · The Analyst · doi:10.1039/d0an01484b · Cited by 47

A Field Evaluation of Construction Workers’ Activity, Hydration Status, and Heat Strain in the Extreme Summer Heat of Saudi Arabia

Al-Bouwarthan, M., Quinn, M., Kriebel, D., & Wegman, D. H. (2020) · Annals of Work Exposures and Health · doi:10.1093/annweh/wxaa029 · Cited by 51

Accuracy of a step counter during treadmill and daily life walking by healthy adults and patients with cardiac disease

Thorup, C. B., Andreasen, J. J., Sørensen, E. E., Grønkjær, M., Dinesen, B., & Hansen, J. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-011742 · Cited by 43

Assessment of Physical Activity by Wearable Technology During Rehabilitation After Cardiac Surgery: Explorative Prospective Monocentric Observational Cohort Study

Thijs, I., Fresiello, L., Oosterlinck, W., Sinnaeve, P., & Rega, F. (2019) · JMIR mHealth and uHealth · doi:10.2196/mhealth.9865 · Cited by 44

Modern Technologies for Personalized Nutrition

Boland, M., Alam, F., & Bronlund, J. E. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816403-7.00006-4 · Cited by 44

An exercise in nostalgia: Nostalgia promotes health optimism and physical activity

Kersten, M., Cox, C. R., & Enkevort, E. A. V. (2016) · Psychology and Health · doi:10.1080/08870446.2016.1185524 · Cited by 48

Wearable devices for patient monitoring in the intensive care unit

Angelucci, A., Greco, M., Cecconi, M., & Aliverti, A. (2025) · Intensive Care Medicine Experimental · doi:10.1186/s40635-025-00738-8 · Cited by 45

A Behavior-Modification, Clinical-Grade Mobile Application to Improve Breast Cancer Survivors' Accountability and Health Outcomes

Stubbins, R., He, T., Yu, X., Puppala, M., Ezeana, C. F., Chen, S., y Alvarado, M. V., Ensor, J., Rodriguez, A. A., Niravath, P. A., et al. (2018) · JCO Clinical Cancer Informatics · doi:10.1200/cci.18.00054 · Cited by 41

Accelerometer-based sleep behavior and activity levels in student athletes in comparison to student non-athletes

Driller, M. W., Dixon, Z. T., & Clark, M. (2017) · Sport Sciences for Health · doi:10.1007/s11332-017-0373-6 · Cited by 48

Validity of the Fitbit One for Measuring Activity in Community-Dwelling Stroke Survivors

Hui, J., Heyden, R., Bao, T., Accettone, N., McBay, C., Richardson, J. A., & Tang, A. (2017) · Physiotherapy Canada · doi:10.3138/ptc.2016-40.ep · Cited by 39

Principles of gamification for Internet interventions

Floryan, M., Ritterband, L. M., & Chow, P. I. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz041 · Cited by 39

Identifying Influence Agents That Promote Physical Activity Through the Simulation of Social Network Interventions: Agent-Based Modeling Study

van Woudenberg, T. J., Simoski, B., Araújo, E. F. D. M., Bevelander, K. E., Burk, W. J., Smit, C. R., Buijs, L., Klein, M. C. A., & Buijzen, M. (2019) · Journal of Medical Internet Research · doi:10.2196/12914 · Cited by 39

How many days are needed? Measurement reliability of wearable device data to assess physical activity

Hilden, P., Schwartz, J. E., Pascual, C. B., Diaz, K. M., & Goldsmith, J. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282162 · Cited by 38

Quantifying Physical Activity Levels and Sleep in Hemodialysis Patients Using a Commercially Available Activity Tracker

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