Literature DB >> 32941686

Internet of Things (IoT) System and Field Sensors for Exercise Intensity Measurements.

Shizue Masuki1,2, Mayuko Morikawa1,2,3, Hiroshi Nose1,3.   

Abstract

Although exercise training according to individual peak aerobic capacity ( V ˙ o2peak ) has been recommended at all ages, sensors available in the field are limited. The most popular sensors in the field are pedometers, but they cannot be used to monitor exercise intensity. Instead, although heart rate (HR) monitors are broadly available in the field to estimate exercise intensity, HR responses to exercise vary by individual according to physical fitness and environmental conditions, which hinders the precise measurement of energy expenditure. These issues make it difficult for exercise physiologists to collaborate with geneticists, nutritionists, and clinicians using the internet of things (IoT). To conquer these problems, we have developed a device that is equipped with a triaxial accelerometer and a barometer to measure energy expenditure during interval walking training (IWT) in the field with inclines. IWT is a training regimen to repeat fast and slow walking for 3 min each, equivalent to greater than 70% and approximately 40% of individual V ˙ o2peak , respectively. Additionally, we developed an IoT system that enables users to receive instructions from trainers according to their walking records even if they live far away. Since the system is available at low cost with minimum personnel, we can investigate any factors affecting the adherence to and effects of IWT in a large population for a long period. This system was also used to verify any effects of nutritional supplements during IWT and to examine the value of applying IWT to clinical medicine. © 2020 American Physiological Society. Compr Physiol 10:1207-1240, 2020.
Copyright © 2020 American Physiological Society. All rights reserved.

Year:  2020        PMID: 32941686     DOI: 10.1002/cphy.c190010

Source DB:  PubMed          Journal:  Compr Physiol        ISSN: 2040-4603            Impact factor:   9.090


  4 in total

1.  Evaluation of the Clinical Efficacy of the Treatment of Overweight and Obesity in Type 2 Diabetes Mellitus by the Telemedicine Management System Based on the Internet of Things Technology.

Authors:  Kaisang Lin; Wei Zhang; Fei He; Jie Shen
Journal:  Comput Intell Neurosci       Date:  2022-06-22

2.  Exercise suppresses mouse systemic AApoAII amyloidosis through enhancement of the p38 MAPK signaling pathway.

Authors:  Xiaoran Cui; Jinko Sawashita; Jian Dai; Chang Liu; Yuichi Igarashi; Masayuki Mori; Hiroki Miyahara; Keiichi Higuchi
Journal:  Dis Model Mech       Date:  2022-03-21       Impact factor: 5.758

3.  Effects of Yogurt Intake on Cardiovascular Strain during Outdoor Interval Walking Training by Older People in Midsummer: A Randomized Controlled Study.

Authors:  Koji Uchida; Ryutaro Shimamura; Ryo Ikefuchi; Mayuko Morikawa; Mayuka Furihata; Masaaki Hanaoka; Hiroshi Nose; Shizue Masuki
Journal:  Int J Environ Res Public Health       Date:  2022-04-13       Impact factor: 4.614

4.  Nature-inspired preparation of self-adhesive, frost-resistant, and ion-conductive hydrogels for flexible strain sensors.

Authors:  Tiantian Zhang; Lihui Meng; Yanru Hu; Zhiyuan Ouyang; Wenchao Li; Bin Xie; Fang Zhu; Jiangling Wan; Qingzhi Wu
Journal:  RSC Adv       Date:  2022-08-19       Impact factor: 4.036

  4 in total

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