Wearable Bioimpedance Measuring Devices

Bertemes-Filho, Pedro; Morcelles, Kaue Felipe

doi:10.1007/978-3-030-87845-0_5

Cited by 7 publications

(4 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This wearable also gives readings of blood pressure, sleep quality, steps or energy expenditure. It also measures body fat percentage by means of bioimpedance [ 38 ]. Since a wearable’s accuracy can be affected by various factors, their data are compared with data obtained through questions from the APP’s configuration screens.…”

Section: Methodsmentioning

confidence: 99%

Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition

et al. 2023

View full text Add to dashboard Cite

Access to good nutritional health is one of the principal objectives of current society. Several e-services offer dietary advice. However, multifactorial and more individualized nutritional recommendations should be developed to recommend healthy menus according to the specific user’s needs. In this article, we present and validate a personalized nutrition system based on an application (APP) for smart devices with the capacity to offer an adaptable menu to the user. The APP was developed following a structured recommendation generation scheme, where the characteristics of the menus of 20 users were evaluated. Specific menus were generated for each user based on their preferences and nutritional requirements. These menus were evaluated by comparing their nutritional content versus the nutrient composition retrieved from dietary records. The generated menus showed great similarity to those obtained from the user dietary records. Furthermore, the generated menus showed less variability in micronutrient amounts and higher concentrations than the menus from the user records. The macronutrient deviations were also corrected in the generated menus, offering a better adaptation to the users. The presented system is a good tool for the generation of menus that are adapted to the user characteristics and a starting point to nutritional interventions.

show abstract

Section: Methodsmentioning

confidence: 99%

Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Smartwatches are equipped with bioimpedance sensors. These sensors are used to measure body fat, composition, blood pressure, and body glucose levels [36]. A recent study, involving 75 participants reports that the measurements of smartwatch BIAs is comparable with laboratory measures for measuring body fat [37].…”

Section: Wearable Technologymentioning

confidence: 99%

Handling missing data in the time-series data from wearables

Darji,

Biswas,

D. Jones

et al. 2023

Time Series Analysis - Recent Advances, New Perspectives and Applications

View full text Add to dashboard Cite

Wearable technology is being used for tracking continuous events in various sectors of our lives. Wearables contain different types of sensors which can acquire movement data, blood pressure, blood sugar, temperature, and other physiological parameters. These parameters are recorded in the form of seamless univariate or multivariate time-series data. Very often, however, the data contains missing datum which disrupts the continuity of the data making it difficult to analyze the data. The missing part of the data needs to be imputed to make the remaining available data applicable. Choosing the proper imputation method is crucial for fruitful analysis and extracting underlined features from the data. In this context, this chapter discusses sensors associated with wearable technology which generate the time-series data, missing data in the wearables’ time-series data, and various imputation methods being used for imputing the missing data.

show abstract

“…With an increase in its water content, there is a relative increase in the dielectric constant and conductive pathways, which is more prevalent initially and then followed by a more subtle change over time. Thus, a decrease in impedance is observed as a function of SC water content [ 33 , 34 , 35 , 36 , 37 ].…”

Section: Electrical Sensingmentioning

confidence: 99%

Review of Advances in the Measurement of Skin Hydration Based on Sensing of Optical and Electrical Tissue Properties

Gidado

Qassem

Triantis

et al. 2022

Sensors

View full text Add to dashboard Cite

The presence of water in the skin is crucial for maintaining the properties and functions of the skin, in particular its outermost layer, known as the stratum corneum, which consists of a lipid barrier. External exposures can affect the skin’s hydration levels and in turn, alter its mechanical and physical properties. Monitoring these alterations in the skin’s water content can be applicable in clinical, cosmetic, athletic and personal settings. Many techniques measuring this parameter have been investigated, with electrical-based methods currently being widely used in commercial devices. Furthermore, the exploration of optical techniques to measure hydration is growing due to the outcomes observed through the penetration of light at differing levels. This paper comprehensively reviews such measurement techniques, focusing on recent experimental studies and state-of-the-art devices.

show abstract

Wearable Bioimpedance Measuring Devices

Cited by 7 publications

References 36 publications

Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition

Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition

Handling missing data in the time-series data from wearables

Review of Advances in the Measurement of Skin Hydration Based on Sensing of Optical and Electrical Tissue Properties

Contact Info

Product

Resources

About