Evaluation of the metabolic rate based on the recording of the heart rate

Malchaire, Jacques; Alfano, Francesca Romana d’Ambrosio; Palella, Boris Igor

doi:10.2486/indhealth.2016-0177

Cited by 48 publications

(39 citation statements)

References 29 publications

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“…This aspect could be considered in a hypothetical adaptive control and optimization strategy of the office thermal plant system. Finally, we have focused on the calculation of the modified PMV (PMV_mod_Pos1 and PMV_mod_Pos3) based on the metabolic rate defined starting from the monitored heart rate data [12] (Figure 5).…”

Section: First Application and Resultsmentioning

confidence: 99%

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An Integrated Framework for Users’ Well-Being

Salamone

Meroni

Belussi

et al. 2017

The 4th International Electronic Conference on Sensors and Applications

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Abstract:The hygro-thermal comfort (ICQ) is defined as the psychophysical state in which the subject expresses a condition of well-being with respect to environmental variables, a condition known as thermal neutrality. Furthermore, the ICQ represents one pillar of the holistic concept of the Indoor Environmental Quality (IEQ). The methods for the assessment of ICQ and recognized at international level are mainly two. The former, based on a steady-state approach, described by the EN ISO 7730:2005 and applied to Fully Mechanically Controlled buildings (FMC) equipped with an active conditioning system. The latter, based on an adaptive approach, as defined trough in field activities and described by the technical standard ASHRAE 55 and EN 15,251, instead, considers the users as active subjects that interact with surrounding environment and are influenced in their comfort perception by external conditions. In this case, the thermal comfort concept is not just defined depending on physical, but also psychological, social, economic and cultural aspects. The technical standards provides that this method could be applied in middle seasons when the control of comfort is handled by passive technological methods, i.e., in the so called Natural Ventilated or Free Running buildings (FR). In this approach, methodologies providing the direct involvement of the end user are consolidating, through the collection of physiological, psychological and behavioral personal data as to obtain the better assessment of the comfort conditions. Placing in this field, the article describes the results of a field investigation in an office aimed at defining a framework for the assessment of the thermal comfort based on the two approaches through the use of low cost technology solutions, parametric and freeware models.

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Section: First Application and Resultsmentioning

confidence: 99%

“…The parametric model is useful to assess the ICQ based on: The wearable sensor is used to acquire the heart rate data in bpm in order to modify the metabolic rate values based on the revised approach [12] of the level 3 described in the ISO 8996.…”

Section: Methods Of Evaluation Of Comfortmentioning

confidence: 99%

An Integrated Framework for Users’ Well-Being

Salamone

Meroni

Belussi

et al. 2017

The 4th International Electronic Conference on Sensors and Applications

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“…The metabolic rate depends on the activity level. Heat is dissipated from the body (to keep its internal temperature constant) to the surroundings through the skin by heat transfer phenomena and activities [33]. In this case, the human body uses four processes of heat transfer (conduction, convection, radiation and evaporation of sweat) to maintain homeostasis [3].…”

Section: Steady-state Conditionsmentioning

confidence: 99%

Models and Indicators to Assess Thermal Sensation Under Steady-State and Transient Conditions

Enescu

2019

Energies

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The assessment of thermal sensation is the first stage of many studies aimed at addressing thermal comfort and at establishing the related criteria used in indoor and outdoor environments. The study of thermal sensation requires suitable modelling of the human body, taking into account the factors that affect the physiological and psychological reactions that occur under different environmental conditions. These aspects are becoming more and more relevant in the present context in which thermal sensation and thermal comfort are represented as objectives or constraints in a wider range of problems referring to the living environment. This paper first considers the models of the human body used in steady-state and transient conditions. Starting from the conceptual formulations of the heat balance equations, this paper follows the evolution occurred during the years to refine the models. This evolution is also marked by the availability of increasingly higher computational capability that enabled the researchers developing transient models with a growing level of detail and accuracy, and by the validation of the models through experimental studies that exploit advanced technologies. The paper then provides an overview of the indicators used to characterise the local and overall thermal sensation, indicating the relations with local and overall thermal comfort.

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“…To calculate PMV and PPD indices, the evaluation/measurement of six variables are required: the air temperature, the mean radiant temperature, the relative humidity, the air velocity, the metabolic rate and finally the clothing insulation [8]. These quantities can be measured or evaluated according to the Standards in the field of the Ergonomics of the Thermal Environment [22][23][24][25].…”

Section: Open Issues About the Evaluation Of Pmv/ppd Indicesmentioning

confidence: 99%

Fifty Years of PMV Model: Reliability, Implementation and Design of Software for Its Calculation

Alfano

Olesen²,

Palella

et al. 2019

Atmosphere

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In most countries, PMV is the reference index for the assessment of thermal comfort conditions in mechanically conditioned environments. It is also the basis to settle input values of the operative temperature for heating and cooling load calculations, sizing of equipment, and energy calculations according to EN 16798-1 and 16798-2 Standards. Over the years, great effort has been spent to study the reliability of PMV, whereas few investigations were addressed to its calculation. To study this issue, the most significant apps devoted to its calculation have been compared with a reference software compliant with EN ISO 7730 and the well-known ASHRAE Thermal Comfort Tool. It has been revealed that only few apps consider all six variables responsible for the thermal comfort. Relative air velocity is not considered by ASHRAE Thermal Comfort Tool and, finally, the correction of basic insulation values due to body movements introduced by EN ISO 7730 and EN ISO 9920 Standards has only been considered in one case. This implies that most software and apps for the calculation of PMV index should be used with special care, especially by unexperienced users. This applies to both research and application fields.Atmosphere 2020, 11, 49 2 of 14 buildings addressing IEQ, whereas EN 16798-2 explains how to use EN 16798-1 by specifying additional information as: (i) input parameters for building system design and energy performance calculations; (ii) methods for long term evaluation of the indoor environment; (iii) criteria for measurements which can be used if required to measure compliance by inspection; (iv) parameters to be used by monitoring and displaying the indoor environment in existing buildings. With reference to thermal comfort, EN 16798-1 suggests specific design ranges of operative temperature consistent with the desired level of environmental quality (see Table 1). Table 1. Temperature ranges for hourly calculation of cooling and heating energy for some indoor environment (Category II) according to EN 16798-1 and EN 16798-2 Standards [11,12]. Resultant insulation values I cl,r to be used [6] are 0.5 clo (cooling) and 1.0 clo (heating). Type of Building SpaceOperative Temperature Range for Heating ( • C) Operative Temperature Range for Cooling ( • C) Offices and spaces with similar activity (single offices, open plan offices, conference rooms, auditorium, cafeteria, restaurants, and classrooms). Sedentary activity: M = 1.2 met 20.0-24.0 23.0-26.0 Department store Standing-walking activity: M = 1.6 met 16.0-22.0 21.0-25.0

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Evaluation of the metabolic rate based on the recording of the heart rate

Cited by 48 publications

References 29 publications

An Integrated Framework for Users’ Well-Being

An Integrated Framework for Users’ Well-Being

Models and Indicators to Assess Thermal Sensation Under Steady-State and Transient Conditions

Fifty Years of PMV Model: Reliability, Implementation and Design of Software for Its Calculation

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