Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk

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Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk

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im September 2018 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована у вересні 2018

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Recognition of Sedentary Behav ...... essment of Cardiovascular Risk

@en

Recognition of Sedentary Behav ...... essment of Cardiovascular Risk

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Item

label

Recognition of Sedentary Behav ...... essment of Cardiovascular Risk

@en

Recognition of Sedentary Behav ...... essment of Cardiovascular Risk

@nl

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Recognition of Sedentary Behav ...... essment of Cardiovascular Risk

@en

Recognition of Sedentary Behav ...... essment of Cardiovascular Risk

@nl

P1476

Recognition of Sedentary Behav ...... essment of Cardiovascular Risk

@en

P2093

Eliasz Kańtoch

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P2860

Measurement accuracy of heart rate and respiratory rate during graded exercise and sustained exercise in the heat using the Zephyr BioHarness(TM)

Mining personal data using smartphones and wearable devices: a survey

Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges

Validation of Accelerometer Thresholds and Inclinometry for Measurement of Sedentary Behavior in Young Adult University Students.

Seamless tracing of human behavior using complementary wearable and house-embedded sensors

Physical activity recognition based on rotated acceleration data using quaternion in sedentary behavior: a preliminary study.

2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by repres

Comparative Analysis of the Equivital EQ02 Lifemonitor with Holter Ambulatory ECG Device for Continuous Measurement of ECG, Heart Rate, and Heart Rate Variability: A Validation Study for Precision and Accuracy.

Comparison of Sedentary Estimates between activPAL and Hip- and Wrist-Worn ActiGraph.

Validation of the Hexoskin wearable vest during lying, sitting, standing, and walking activities.

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3219

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scholarly article

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10.3390/S18103219

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English

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2018-09-24T00:00:00Z

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30249987

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P921

analytical chemistry

machine learning

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6210891

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