Thermal comfort of patients: Objective and subjective measurements in patient rooms of a Belgian healthcare facility

Verheyen, Jan; Theys, Nele; Allonsius, Luk; Descamps, Filip

doi:10.1016/j.buildenv.2010.12.014

Cited by 108 publications

(63 citation statements)

References 10 publications

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“…One's past and current thermal experiences can directly affect one's thermal response and cognitive assessment of acceptability [2]. Now field study on adaptive approach includes office [12], resident [13], classroom [14], patient rooms [15], outdoor [16], vehicle [17] etc. Several researchers have reviewed the field studies on thermal comfort [1,2,6,11,[18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Thermal environment in the cotton textile workshop

Yang

Liu

Ren

2015

Energy and Buildings

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Section: Introductionmentioning

confidence: 99%

Thermal environment in the cotton textile workshop

Yang

Liu

Ren

2015

Energy and Buildings

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“…In general, in this study the objective approach gave systematically higher discomfort levels than the subjective approach, which is in agreement with adaptive theory (Azizpour et al, 2013;Carvalhais et al, 2011). However, Verheyen et al (2011) noted the opposite trend where PMV index was lower than reported thermal sensation, maybe due to the fact that the subjects under examination were not young and healthy. A possible misinterpretation of the questionnaires also needs to be taken into account and may have influenced the results.…”

Section: Discussionmentioning

confidence: 86%

“…Despite an increasing number of studies in the thermal environment field, data on indoor thermal comfort conditions for hospital occupants are sparse (Khodakarami and Nasrollahi, 2012). Some studies compared questionnaire results with the PMV-PPD model, and Verheyen et al (2011) noted that this model was capable of adequately predicting thermal sensation in a hospital context.…”

mentioning

confidence: 99%

Analytical and subjective interpretation of thermal comfort in hospitals: A case study in two sterilization services

Carvalhais

Baptista

Silva

2016

Journal of Toxicology and Environmental Health, Part A

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“…For example, if the subject is unable to move and is placed in bed all the time, the total insulation has to take into consideration the effects of bed, blankets, quilts. In [14] and [15] a mathematical model has been proposed and validated in [23] for people in a bedding system. The total insulation is computed as a function of the thickness of the item (i.e.…”

Section: Considerations On Personal Parameters In Aal Applicationsmentioning

confidence: 99%

A Low-Cost Sensor for Real-Time Monitoring of Indoor Thermal Comfort for Ambient Assisted Living

Revel

Arnesano

Pietroni

2014

Ambient Assisted Living

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The present paper illustrates an innovative low cost solution for the monitoring of indoor thermal comfort by means of Predictive Mean Vote (PMV ) index for multiple positions. This is particularly interesting in an Ambient Assisted Living environment as replacement of typical thermostat used for the climate control. In fact, the system proposed considers also personal parameters, as metabolic rate (M) and clothing level (I cl ), instead of the merely environmental parameters. If this is important for normal living conditions, it becomes crucial in case of elderly people and long-term care patients where a reduction of M or I cl causes a high sensitivity to thermal conditions (especially for cold sensation), or where the disability does not allow the subject re-action (e.g. shading opening/closing when solar radiation occurs). The device proposed uses a set of low-cost non-contact sensors to determine, based on algorithms provided by ISO 7726 and 7730, Mean Radiant Temperature (MRT ) and PMV, which are provided as output of the device through wireless or wired connection. The capability of predicting thermal comfort conditions for multiple positions of the occupant in the room has been tested and validated in a real case study: it resulted in a discrepancy of ±0.5 • C in the MRT measurement and ±0.1 for the PMV with respect to a reference measurement system (microclimate station). The sensitivity to the metabolic rate and clothing level for AAL applications is also discussed together with a procedure for an estimation of these parameters. The accuracy achieved allows a better measurement of the real thermal sensation for a more comfortable environment with lower energy consumption.

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Thermal comfort of patients: Objective and subjective measurements in patient rooms of a Belgian healthcare facility

Cited by 108 publications

References 10 publications

Thermal environment in the cotton textile workshop

Thermal environment in the cotton textile workshop

Analytical and subjective interpretation of thermal comfort in hospitals: A case study in two sterilization services

A Low-Cost Sensor for Real-Time Monitoring of Indoor Thermal Comfort for Ambient Assisted Living

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