Accuracy of Apple Watch Measurements for Heart Rate and Energy Expenditure in Patients With Cardiovascular Disease: Cross-Sectional Study (Preprint)

Falter, Maarten; Budts, Werner; Goetschalckx, Kaatje; Cornelissen, Véronique; Buys, Roselien

doi:10.2196/preprints.11889

Cited by 5 publications

(2 citation statements)

References 18 publications

(34 reference statements)

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“…With the development of wearable devices, it has become a promising method to predict VO 2 through physiological parameters obtained by devices such as smart watches or shirts. For example, sports watches like Apple watch (Falter et al, 2019) and Fitbit (Sasaki et al, 2015) can track EE in real time, which is non-intrusive and portable. A representative wearable smart shirt Hexoskin (Beltrame et al, 2017) can obtain a wide range of physiological parameters of the wearer to improve the accuracy of VO 2 estimate mentioned in the previous paragraph.…”

Section: Introductionmentioning

confidence: 99%

Enhancing instantaneous oxygen uptake estimation by non-linear model using cardio-pulmonary physiological and motion signals

Wang

Zhang

Lan³

et al. 2022

Front. Physiol.

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Oxygen uptake (VO2) is an important parameter in sports medicine, health assessment and clinical treatment. At present, more and more wearable devices are used in daily life, clinical treatment and health care. The parameters obtained by wearables have great research potential and application prospect. In this paper, an instantaneous VO2 estimation model based on XGBoost was proposed and verified by using data obtained from a medical-grade wearable device (Beijing SensEcho) at different posture and activity levels. Furthermore, physiological characteristics extracted from single-lead electrocardiogram, thoracic and abdominal respiration signal and tri-axial acceleration signal were studied to optimize the model. There were 29 healthy volunteers recruited for the study to collect data while stationary (lying, sitting, standing), walking, Bruce treadmill test and recuperating with SensEcho and the gas analyzer (Metalyzer 3B). The results show that the VO2 values estimated by the proposed model are in good agreement with the true values measured by the gas analyzer (R2 = 0.94 ± 0.03, n = 72,235), and the mean absolute error (MAE) is 1.83 ± 0.59 ml/kg/min. Compared with the estimation method using a separate heart rate as input, our method reduced MAE by 54.70%. At the same time, other factors affecting the performance of the model were studied, including the influence of different input signals, gender and movement intensity, which provided more enlightenment for the estimation of VO2. The results show that the proposed model based on cardio-pulmonary physiological signals as inputs can effectively improve the accuracy of instantaneous VO2 estimation in various scenarios of activities and was robust between different motion modes and state. The VO2 estimation method proposed in this paper has the potential to be used in daily life covering the scenario of stationary, walking and maximal exercise.

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Section: Introductionmentioning

confidence: 99%

Enhancing instantaneous oxygen uptake estimation by non-linear model using cardio-pulmonary physiological and motion signals

Wang

Zhang

Lan³

et al. 2022

Front. Physiol.

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“…Although technology appears to hold multiple potential communication and intervention delivery solutions and opportunities for athletes and practitioners, proceeding with an agnostic view may be best suited to the rapidly evolving digital landscape. How, when and where an individual's physiological data can now be captured, interpreted and returned is no longer limited to lab-based settings (Plews et al, 2017;Falter et al, 2019;Miller et al, 2021). Instead, mobile phones, smart watches and biometric rings (e.g., Apple Watch, WHOOP and Oura Ring) are now demonstrating efficacy in the remote capture of continuous data and the delivery of app-based interventions that leverage principles from health behavior theories to improve health and performance behaviors such as sleep (Reeder and David, 2016;Browne et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Athlete experiences of communication strategies in applied sports nutrition and future considerations for mobile app supportive solutions

Dunne¹,

Lefevre-Lewis²,

Cunniffe³

et al. 2022

Front. Sports Act. Living

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AimThis study aimed to explore athletes' experiences and opinions of communication strategies in applied sports nutrition, as well as capture suggestions for future mobile app supportive solutions.MethodsA qualitative approach was used for this research. Data was generated from semi-structured focus groups (n = 9) with a purposive sample of 41 (male = 24, female = 17) full time professional athletes (mean age 24 ± 4.59) from five sports (football, rugby union, athletics, cycling, and boxing). Data was analyzed using reflexive thematic analysis.ResultsThe analysis identified four higher order themes and five sub themes. Athletes appear dissatisfied with the levels of personalization in the nutrition support they receive. Limited practitioner contact time was suggested as a contributing factor to this problem. Athletes acknowledged the usefulness of online remote nutrition support and reported a desire for more personalized technology that can tailor support to their individual needs.ConclusionAthletes experienced a hybrid human-computer approach that combines in-person and remote digital methods to communicate with and receive information from practitioners. Mobile technology may now afford sports nutritionists with new opportunities to develop scalable solutions to support practice.

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Using Smart Bracelets to Assess Heart Rate Among Students During Physical Education Lessons: Feasibility, Reliability, and Validity Study (Preprint)

Sun¹,

Liu²

2020

Preprint

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BACKGROUND More and more wrist-worn trackers are examined in health care. However, feasibility, reliability and validity studies for Physical Education (PE) classes remain scarce. OBJECTIVE This article was to examine the reliability and validity of Fizzo Smart Bracelet (FSB)in measuring heart rate (HR) in laboratory and examine the validity and feasibility in PE classes. METHODS In Study 1, 11 healthy subjects (5 males 23.8 ± 1.8 years, 6 females 21.0 ± 1.3 years) completed the test which included running on the treadmill at the speed of 6 km/h and 12 km/h for 12min and 5min respectively for two times. During the test, participants wore two FSBs on their left and right wrists to measure the HR data, resembling a watch. At the same time, the Polar Team2 Pro (Polar) was worn on the chest as the gold standard on their chest. In Study 2, we went to 10 schools and measured 24 students (11 males 14.0 ± 1.4 years, 13 females 13.9 ± 1.1 years) in PE classes. During the PE classes each student worn a Polar on chest and an FSB on the right wrist to measure HR data. At the end of the PE classes, the students and their teachers finished the questionnaire for assessment the feasibility of FSB. To measure reliability, intraclass correlations (ICC), mean difference (MD), standard error of measurement (SEM), mean absolute percentage errors (MAPE) were used. To measure validity, intraclass correlations (ICC), limits of agreement (LOA), mean absolute percentage errors (MAPE) were calculated. Bland-Altman plots were constructed. Percentage value were used to estimate the feasibility of FSB. RESULTS In Study 1 the FSB showed high reliability between the Left Fizzo (LF) and Right Fizzo (RF) (ICC > 0.97, MD < 0.7, SEM < 0.56 and MAPE < 1.45%). The validity of LF and RF were high (ICC > 0.98, MAPE < 1.85%). Bland-Altman plots showed strong correlation. LF (bias: 0.48, LOA: -3.94 ~ 4.89 bpm) and RF (bias: 0.56, LOA: -4.60 ~ 5.72 bpm). Compared to study 1, the validity of FSB was lower in Study 2, but still moderate (ICC > 0.70, MAPE < 9.0%), and the FSB showed broad LOA in the Bland-Altman plots (bias: -2.60, LOA: -38.89 ~ 33.69bpm). FSB slightly underestimate the HR compared with Polar. Most participants considered the FSB is very comfortable and easy to apply and remove. All the teachers thought FSB is helpful. CONCLUSIONS Running on the treadmill in the laboratory, both LF and RF were all accurate. Compare to the laboratory, the validity of FSB was decreased in PE classes but still reached moderate level. FSB is comfortable to wear, easy to apply and remove, it has high application value in PE class setting.

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Accuracy of Apple Watch Measurements for Heart Rate and Energy Expenditure in Patients With Cardiovascular Disease: Cross-Sectional Study (Preprint)

Abstract: Background

Cited by 5 publications

References 18 publications

Enhancing instantaneous oxygen uptake estimation by non-linear model using cardio-pulmonary physiological and motion signals

Enhancing instantaneous oxygen uptake estimation by non-linear model using cardio-pulmonary physiological and motion signals

Athlete experiences of communication strategies in applied sports nutrition and future considerations for mobile app supportive solutions

Using Smart Bracelets to Assess Heart Rate Among Students During Physical Education Lessons: Feasibility, Reliability, and Validity Study (Preprint)

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