Literature DB >> 32206376

Development of Korean Head forms for Respirator Performance Testing.

Hyekyung Seo1, Jennifer Ivy Kim1, Hyunwook Kim2.   

Abstract

BACKGROUND: Protection from yellow dust and particulate matter is ensured by the use of respirators among the Korean citizens and workers. However, the manikins used to test the performance of the same were manufactured considering western facial specifications owing to which they do not represent Korean facial characteristics.
METHODS: Analysis of the data from the 6th 3D anthropometric survey of Koreans (Size Korea; 2010-2013) of 4,583 people aged 7 to 69 years was performed to obtain their facial dimensions. We subsequently clustered 44 facial measurements using Design X software, followed by the creation of the cluster centroid.
RESULTS: Three 3D head forms were developed-small, medium, and large, and their images were stored in ".stl" format for 3D printing. The facial widths and lengths of the three head forms were 127.1 mm × 90.6 mm, 143.2 mm × 104.0 mm, and 149.1 mm × 120.2 mm, respectively.
CONCLUSION: We developed manikin head forms according to the facial dimensions of the Korean population, which was essential in evaluating respiratory protective equipment. These head forms can be used to test the performance of respirators considering the facial dimensions of the Korean population.
© 2020 The Authors.

Entities:  

Keywords:  3D anthropometry; Manikin head forms; Particulate matter; Respirator performance test; Yellow dust

Year:  2019        PMID: 32206376      PMCID: PMC7078543          DOI: 10.1016/j.shaw.2019.12.008

Source DB:  PubMed          Journal:  Saf Health Work        ISSN: 2093-7911


Introduction

Increased air pollution attributed to fine dust and yellow dust is considered to be a grave social issue in South Korea [1], and several risk assessment studies have been conducted on the population who are susceptible to the disease [[2], [3]] to protect public health. The average particulate matter (PM) 2.5 level in South Korea was 27.9 μg/m3, which was the highest level among the Organization for Economic Cooperation and Development (OECD) nations [4]. In comparison, the average PM2.5 concentration in OECD countries was approximately 13.9 μg/m3. The World Health Organization sets the guideline limit as 10 μg/m3 [5]. Industries are one of the largest emitters of several varieties of pollutants, and they PM10 emissions have increased by four times since 2000 mainly because of extensive consumption of fossil fuels. Furthermore, road transport is the largest contributor of NOx and CO emissions. Transboundary particles, specifically the fine particulates from the industrial sites in China and yellow sand dust from the deserts in China and Mongolia, significantly exacerbate PM concentrations in Korea. However, the precise amount of air pollutants from the two neighboring countries remains unclear [6]. The National Institute of Environmental Research reported [7] that the impact of fine dust and yellow dust on health can be evaluated through several body indicators, including pulmonary illnesses and functions. In addition, the report revealed that a higher level of pollutants was associated with an increased relative risk of hospitalization because of the onset of asthma [[2], [8]]. Because the amount of fine dust in South Korea is comparatively higher than that of other OECD countries, the general population has demanded better management of the air quality to address the associated health risks. Accordingly, the Ministry of Environment has established air quality standards considering particulate matters (PM 2.5, 35 μg/m3 over 24 h, 15 μg/m3 on an annual basis), which have been in effect since 2018. Furthermore, the Ministry has imposed stricter regulations to control PM, by issuing alerts in cases when the PM concentrations exceeded the standard, and has recommended that the general population should wear respirators when necessary. Similarly, the Ministry of Food and Drug Safety in Korea advised the public to wear respirators to protect themselves from infectious diseases, bad odors, exhaust gases, yellow sand dust, and PM. It has further implemented the Korean Filter system to certify respirators. In terms of the protection provided by the respirators, not only the filter performance but also the quality of fit specific to a user's face is particularly important, regardless of its certification status, to protect users from hazardous and harmful substances in the air. Face seal leakage is a key factor in respiratory protection. Traditionally the respiratory protective devices (RPDs) have been designed for industrial workers to protect from the hazardous substances associated with their workplaces. In comparison, however, RPDs for general public need to cover wide range of population including children and elderly. Despite this, respirator performance is being tested using head forms that are manufactured based on European facial dimensions. These head forms have different facial dimensions than those of the general public in South Korea. Presently, there has been an increase in the need for new specifications for facial dimensions for the general public. Considering this, Han et al. [9] measured and classified the facial dimensions of Koreans and developed a half facepiece respirator for workers that could be applied to the Korean facial dimensions. Furthermore, Kim et al. [10] recently used three-dimensional (3D) anthropometry to develop PM masks for children and the general population. Seo et al. [11] classified the facial dimensions of children into three types through cluster analysis to provide basic data for respirator design. Three-dimensional anthropometry was particularly used to conduct facial measurements instead of traditional direct measurement and ensured a faster and easier measurement for children who cannot sit still for a long time during the process. The method also permitted repeated data measurement with fewer errors, along with measurement of curves in the face, which was not possible via the previous methods [12]. In Korea, Seo et al. [13] used a 3D scanner to measure the facial dimensions of 730 children and classified them into three different size groups. In China, Yanyan et al. [14] used a 3D scanning method to produce 3D digital head forms representing workers and developed five facial models (small, medium, large, long/narrow, and short/wide), which were used in the process of designing and testing the respirators for the Chinese population [15]. Since 1970, the United States (US) has used several means to develop head forms that represent the worker population. Cyberware 3D Rapid Digitizer [16] has been used to this end, and the variations in facial shape have been studied across four racial strata [17]. These studies have facilitated the development of respirators with adequate sizes for different wearers with advanced efficiency and performance [18]. Despite the fact that, various types of head forms have been used to test respirator performance while considering different sizes and characteristics of respirator wearers in the USA and EU, the ISO 16900-5 [19] has stipulated five types of RPD head forms as international standards. Since 2016, the National Institute for Occupational Safety and Health (NIOSH) in the US has developed and studied robotic head forms that simulate human actions, such as facial movements and speech [20]. The NIOSH has developed a new robotic manikin head form (called an “advanced head form”) to facilitate the evaluation of respirator fit and respirator inward leakage, along with the study of factors including the penetration of particles through the filter and leakage in the area of the face seal. Advanced head form [20] may aid in process involved in respirator design and advance respirator certification and consensus standards. In addition, one recent study used the ISO breathing machine to perform leak test with a medium-sized head form [21]. ’The study by KimJong-Kyu [22] assessed total inward leakage using head forms and a breathing machine, according to the respirator safety test method of Korea [23], emphasized that the test should be conducted on head forms instead of human participants, considering the fact that the test material (silver nanoparticles) raised safety concerns owing to its toxicity. Rengasamy and Eimer [24] assessed the efficiency and performance of RPDs using head forms and a breathing machine and not human participants. However, respirators in Korea continue to be tested using a head form that has been designed according to the facial dimension of European workers. This poses a considerable problem with regard to representativeness and performance validation because these respirators are used by all members of the general public, including children, adolescents, and adults, for protection against yellow dust and PM. The head forms used to test the performance of respirators must represent the facial diversities of the target population. We aimed to (1) categorize the facial dimensions of the public aged between 7 and 69 years (covering children and the elderly) using a piece of 3D software, (2) build facial models representing the Korean general population, and (3) use 3D printing technology to develop and manufacture head forms to test the respirator performance.

Materials and methods

Participants

Facial dimensions of the Korean general population were acquired by using the report of the 6th 3D anthropometric survey of Koreans (Korean Agency for Technology and Standards, Size Korea. 2010–2013) [25]. The 3D scanning was used to acquire the 3D anthropometric data of 4,583 Koreans, aged between 7 and 69 years, while ensuring that the participants adopted the posture and head position according to the ISO 20685 guidelines [26]. Participants were recruited using a statistical method to determine the necessary number in accordance with ISO 15535 [27]. Table 1 shows the number of participants in each age group. Data of 4,583 participants (50.8% men, 49.2% women) were collected from 2010 to 2013. These participants were categorized according to their age as follows: 1,233 participants aged 7–13 years, 1,292 aged 14–19 years, 830 aged 20–39 years, and 1,228 aged 40–69 years.
Table 1

Results of the 6th3D anthropometric survey of Koreans by age and gender

AgeNo. of participantsMaleFemale
7–131,233610623
14–191,292676616
20–39830425405
40–691,228618610
Total4,5832,3292,254
%10050.849.2
Results of the 6th3D anthropometric survey of Koreans by age and gender An age interval of 1 year was set for participants aged between 7 and 19 years, and samples were collected considering their physical development. An age interval of 5 years was set for participants aged ≥20 years, who did not demonstrate any significant physical development, while an interval of 10 years was set for participants aged ≥40 years. Using nonproportional quota sampling, physical characteristics were classified by age group, and the minimum number of samples required for each group [28] was predetermined before analyzing the data.

Data collection and clustering

Head and facial data were collected using an anthropometry database that was built in accordance with the standardized measurement protocols of the ISO 20685 [26], using a 3D anthropometry scanner. In the 6th 3D anthropometric survey of Koreans [25], the participants'’ heads were automatically measured in 3D according to the items and methods in the ISO 7250 and ISO 8559 [29,30], and the head and face data displayed in Table 2 were collected as presented in Fig. 1. Among the 45 items, 44 were used to develop the head forms, the remaining one item was not considered because it was relatively ambiguous. Nose root–pronasale length (No.16) was excluded from the 45 face measurements because it was similar to that of the nose length (No.2); both parameters can be considered identical given their measurement locations.
Table 2

Facial dimensions measured (source: Size Korea)

No.Measurement itemNo.Measurement item
1Nose protrusion24Menton: head protrusion horizontal breadth
2Nose length25Sellion: head protrusion horizontal breadth
3Head circumference26Tragion: sellion horizontal breadth
4Head vertical length27Zygion head protrusion horizontal breadth (right)
5Head point: chin length28Zygion head protrusion horizontal breadth (left)
6Head point: bitragion (right)29Tragion: ectocanthus horizontal breadth
7Head point: bitragion (left)30Bitragion: lip length
8Head point: lip length31Sellion coronal arc
9Head point: subnasale length32Bitragion coronal arc
10Head point: pronasale length33Bitragion: chin arc
11Head point: nose root length34Bitragion: nose root Arc
12Head point: extracanthal length35Bitragion: subnasale Arc
13Face length36Neck (left): bitragion coronal arc – neck (right)
14Head point: intercanthal length (right)37Head breadth
15Head point: intercanthal length (left)38Minimum frontal breadth
16Nose root: pronasale length39Interpupillary breadth
17Subnasale: chin length40Nasal root breadth
18Head length41Maximum frontal breadth
19Ectocanthus: head protrusion horizontal breadth (right)42Bizygomatic breadth
20Ectocanthus: head protrusion horizontal breadth (left)43Nose breadth
21Sellion: zygion horizontal breadth44Lip length
22Subnasale head protrusion horizontal breadth45Bigonial breadth
23Lip: head protrusion horizontal breadth
Fig. 1

Measured facial dimensions (source: Size Korea).

Facial dimensions measured (source: Size Korea) Measured facial dimensions (source: Size Korea). From the 3D measurement data of 4,583 participants, 5–95% values were included, whereas particularly extreme values were excluded. Among the 5–95% values, 354 extreme cases were excluded for the following reasons: those having facial width ≤110 or ≥170 (317 cases) and those having facial length ≤71 or ≥140 (37 cases). The data were subsequently classified into several different facial size groups to develop and manufacture the head forms, as demonstrated in Fig. 2. A hierarchical cluster analysis was designed based on a multiple-phase cluster analysis; the number of clusters necessary to classify facial dimensions was determined and analyzed using a dendrogram with a Ward linkage [11,31]. The final clusters were determined using the k-means method [32].
Fig. 2

Inclusion data and distribution plots of three head form models from the 6th Korean anthropometric data (The inner box is the NIOSH bivariate panel and the outer box is the 5–95% inclusion value for this study.) NIOSH, National Institute for Occupational Safety and Health.

Inclusion data and distribution plots of three head form models from the 6th Korean anthropometric data (The inner box is the NIOSH bivariate panel and the outer box is the 5–95% inclusion value for this study.) NIOSH, National Institute for Occupational Safety and Health.

Processing for the 3D head form

Three head forms based on facial dimensions of the Korean population were developed and classified according to the cluster analysis by generating 3D images using a 3D software program (Design X; 3D Systems, USA). The “.stl” format file of the dummy head for 3D printing was used with help from a 3D expert (Fig. 3).
Fig. 3

Manikin head form design. (A) stl-format file of the dummy head. (B) Completed design of manikin head forms. (C) 3D printed three head forms of small, medium, and large sizes.

Manikin head form design. (A) stl-format file of the dummy head. (B) Completed design of manikin head forms. (C) 3D printed three head forms of small, medium, and large sizes. The sketch image for printing was completed in an “.stl” file format, and three head forms (Abs-m30; Stratasys. USA) were printed using a 3D printer (Fortus 450mc; Stratasys, USA). The three printed head forms were checked for the presence of cracks and sanded to ensure that their surfaces were smooth. Lastly, the surface was covered with a 2-mm thick human skin-like material. To ensure that it had attributes similar to that of real human skin, urethane rubber (60L[A], 60L[B]; Prototech, Korea) was used at a ratio of 100:33 and a hardness range of 10 shore to 30 shore to replicate the texture of human skin, in accordance with the head form finishing standards of the ISO 16900-5 [19]. The head forms were connected to a breathing machine via a tracheal tube (Tygon medical tubing; US Plastics, USA) that penetrated through the back of the head (Fig. 4).
Fig. 4

Head form connected with a breathing machine. (A) A trachea tube was mounted at the front of the mouth. (B) Three completed types of head forms ready for respirator performance testing.

Head form connected with a breathing machine. (A) A trachea tube was mounted at the front of the mouth. (B) Three completed types of head forms ready for respirator performance testing.

Statistical analysis

The SPSS system, version 20.0 (SAS Institute Inc., USA) was used for statistical analysis of all data. Statistical significance was tested at α = 0.05. A t test was used to determine the differences in age and gender with respect to facial length and width. Hierarchical clustering analysis was performed to roughly determine the number of clusters before analyzing the face sizes for each participant via k-means analysis. The k-means cluster analysis was used to categorize the clusters by size, by applying the squared Euclidean distance, and statistical significance was confirmed in the final clusters through analysis of variance (p < 0.05).

Results

Classification of facial dimensions

Before classifying the facial dimensions to produce standard head forms, face width and length were analyzed to identify gender and age differences. Data demonstrated that the faces of men were 3.0 mm wider than those of women, constituting a significant difference (p < 0.000) (Table 3). Comparing the means of the two age groups revealed that the faces of the participants aged between 20 and 69 years were 13.0 mm wider than those in the 7–19-year age group (p < 0.000). Table 3 demonstrates that the faces of men were 6.5 mm longer than those of women, constituting a significant difference (p < 0.000). The face length of individuals in the 20–69-year age group demonstrated a mean difference of 10.3 mm, which was significantly greater than that of the other groups (p < 0.000).
Table 3

Independent t test of face width and face length

Included (N)Mean (SD)Mean differencet-valuep-value
Face widthGenderMale2,130143.9 (12.0)3.0 (0.36)8.490.000*
Female2,136140.9 (11.8)
Age7–192,130136.1 (11.3)13.0 (0.73)−17.720.000*
20–692136149.1 (10.1)
Face lengthGenderMale2,311111.2 (23.1)6.5 (0.54)11.940.000*
Female2,235104.7 (12.2)
Age7–192,311103.7 (20.8)114.0 (09.4)10.3 (0.42)−24.110.000*
20–692,235

* Significant at a = 0.05; SD, standard deviation; N, number.

Independent t test of face width and face length * Significant at a = 0.05; SD, standard deviation; N, number. The 44 items were classified into three clusters after a hierarchical cluster analysis. Each item was analyzed using k-means cluster analysis and subsequently classified into three sizes: small, medium, and large (Table 4). Analysis of variance was conducted on these three cluster centroids and revealed significant differences among all items (p < 0.001). The size differences of these three head forms are shown in Fig. 3.
Table 4

Facial dimensions by cluster

ClassificationCluster (centroid)
FSig.**
123
18.311.013.3146.1<0.001
241.749.453.8256.6<0.001
3539.2568.6598.381.3<0.001
4198.7220.7234.6189.4<0.001
5177.2193.1208.2167.8<0.001
6126.7133.8137.5114.4<0.001
7116.0131.0137.555.6<0.001
8174.0186.2194.7204.2<0.001
9147.0186.2194.7204.4<0.001
10137.5147.4155.6143.8<0.001
11104.0115.2122.3206.3<0.001
1293.3109.1120.0242.9<0.001
1390.6104.0120.2208.4<0.001
14113.5118.4123.891.4<0.001
15114.9121.9169.0943.6<0.001
16
1745.555.162.4172.1<0.001
18181.3189.3199.1138.5<0.001
1989.0117.0172.3402.2<0.001
20153.0173.6199.0158.0<0.001
2183.793.1114.5132.0<0.001
22177.7196.9206.6317.0<0.001
23185.5194.5200.696.6<0.001
24153.5167.7180.7301.9<0.001
25162.0183.1187.41115.8<0.001
2678.187.194.5199.9<0.001
2768.088.198.2140.0<0.001
2869.088.498.2144.9<0.001
2971.089.0103.056.5<0.001
3098.5129.0166.0122.6<0.001
31290.2309.0386.4518.8<0.001
32345.7366.7382.5130.5<0.001
33277.1320.2384.0119.9<0.001
34245.3277.7326.0127.9<0.001
35256.4285.6348.5109.0<0.001
36558.3604.8634.1176.4<0.001
37145.9158.5168.5160.8<0.001
3883.491.5102.4282.3<0.001
3956.066.570.7251.1<0.001
4031.134.844.4940.5<0.001
41131.1146.1163.2147.8<0.001
42127.1143.2149.198.0<0.001
4332.234.637.6154.6<0.001
4440.047.256.4260.9<0.001
45105.1115.1128.0183.8<0.001

**Significant at a = 0.05.

Bold values represent in row "13 - Face length" and row "42 - Face width"; F, F-value by clustering

Facial dimensions by cluster **Significant at a = 0.05. Bold values represent in row "13 - Face length" and row "42 - Face width"; F, F-value by clustering

Head forms for respirator performance testing

Sizes of the three head forms were determined as shown in Table 4. A 3D software program (Design X; 3D Systems, USA) was used to complete the design plan of the head forms (Fig. 3). Three Korean manikin head forms were printed using the Fortus 450mc (Stratasys, USA) as shown in Fig. 4. The facial area of the head forms that comes in contact with the respirator underwent a certain amount of finishing to ensure a skin-like texture. A tracheal tube was mounted in front of the mouth to connect the head form with a breathing machine [33].

Discussion

Standard head forms that are currently in use in Korea to test respirators have specifications that are identical to those used to test RPDs for industrial workers. In addition, respirator performance is being tested using head forms that were manufactured based on facial dimensions of European workers. Considering this, a previous study [9] suggested a measurement system that could conveniently produce the facial dimensions of Korean workers. However, respirators for general public are worn by people of various age groups, including the children and elderly; therefore, there is a need for new standard head forms to test the performance of the respirators. Furthermore, it should consider variations in the facial dimensions along with the breathing capacities of its wearers.

Comparison of facial dimensions

The standard Korean head form clusters that were classified in this study were compared with those of previous studies by dividing the participants into two age groups: preadults (7–19 years) and adults (20–69 years). The face widths and lengths of the individuals in the preadult and adult groups were 136.1 mm, 103.7 mm, and 149.1 mm, 114.0 mm, respectively. The two groups demonstrated significant differences between their face width sand lengths considering their age (p < 0.000). In addition, the face widths and lengths of adult men and women were significantly different because of their gender (Table 3). Lili et al. [31] reported that the face widths of Chinese male and female participants were 147.5 mm and 139.9 mm, respectively. In accordance with the Chinese national standard (GB2428-81) [34], the facial widths were 144.5 mm for men and 139.0 mm for women. In accordance with the GB/T2428-1998 [35], the values were 143.0 mm for men and 136.0 mm for women. In the NIOSH study [36], the equivalent values were 143.5 mm for men and 135.1 mm for women. Furthermore, Lili et al. [31] reported that the values were 117.3 mm for men and 110.3 mm for women. In accordance with the Chinese national standard (GB2428-81) [34], the average face length was 125.8 mm for men and 119.0 mm for women; in GB/T2428-1998 [35], the values were 119.0 mm in men and 109.0 mm in women. In the NIOSH study [36], face length was 122.7 mm in men and 113.4 mm in women. Another study on the Chinese population [31] reported that the facial dimensions of face length, face width, nose protrusion, bigonial breadth, and nasal root breadth can be used to classify the items into five clusters. In addition, it is suggested that the mean lip length and face width for all Chinese participants were significantly larger than those in Americans. In summary, Chinese faces tended to be slightly shorter than Americans faces, with lesser nose protrusion, wider faces, and longer lips. According to these findings [34,35], the facial size and shape of the Chinese were significantly different from those of Americans. In addition, the study reported slight differences among the Chinese population depending on their places of birth [31]. However, there were no significant regional differences in anthropometric characteristics of the Korean population (Size Korea 5th) [37]. The data collected in this study represented the characteristics of the population living in the metropolitan area surrounding Seoul. In addition, we did not collect any information regarding whether the participants have undergone facial plastic surgery. In this study, the face widths of Korean men and women were 150.1 mm and 147.1 mm, respectively, which were slightly wider than those in the Chinese standard and NIOSH studies (Table 5). Face lengths of Korean men and women were 116.1 mm and 114.0 mm, respectively, which were similar to or slightly shorter than those of both the Chinese standard and NIOSH studies. Our findings were similar to the results of Lee et al. [38], confirming that Koreans have wider face widths but shorter lengths than those of Americans (Fig. 2). Table 5 summarized the results of this study with the results from previous studies conducted in America and China.
Table 5

Comparison of standard head form dimensions in US, China, and South Korea [mean (SD)]

PopulationISO/TS16976-2
South Korea
GB2428-81
GB/TS2428-1998
Lili et al.
NIOSH study
18–66 y US workers7–13yChildren14–19 yAdolescents20–69 yAdults18–66 yChinese workers18–66 yChinese Workers18–66 yChinese workers18–65 y US workers
Face widthSmall128.0123.8135.7139.0Male: 144.5Female: 139.0Male: 143.0 (3.9)Female: 136.0 (3.7)Male: 147.5 (4.7)Female: 139.9 (6.3)Male: 143.5 (6.9)Female: 135.1 (6.5)
Medium140.0133.0145.9152.5
Large151.0144.7151.8156.1
Long/narrow140.0Male: 137.3 (10.4)Female: 130.62 (10.9)Male: 142.6 (11.1)Female: 142.8 (9.3)Male: 150.1 (9.7)Female: 147.1 (10.1)
Short/wide141.0
Face lengthSmall110.084.2102.1108.9Male: 125.8Female: 119.0Male: 119.0 (6.6)Female: 109.57 (5.7)Male: 117.3 (5.6)Female: 110.3 (7.2)Male: 122.7 (7.0)Female: 113.4 (6.1)
Medium119.087.2112.3113.1
Large127.0102.5122.1127.0
Long/narrow127.0Male: 94.59 (10.9)Female: 92.0 (10.4)Male: 116.0 (35.5)Female: 106.7 (9.3)Male: 116.1 (9.8)Female: 114.0 (9.7)
Short/wide112.0

NIOSH, National Institute for Occupational Safety and Health.

Comparison of standard head form dimensions in US, China, and South Korea [mean (SD)] NIOSH, National Institute for Occupational Safety and Health.

The cluster classification by age

Despite the fact that several studies have previously compared facial dimensions between Chinese and American populations, they were primarily conducted in adults, along with the fact that no international standards have yet been developed to represent different ethnicities and races [39], particularly in children. Considering this, we classified several participants in the preadult (7–19 years) group and investigated changes in their facial dimensions. Fig. 5 demonstrates that the results showed a significant degree of change with regard to face width and length between the participants aged 13 and 14 years, which was attributed to growth. Fig. 6 shows that the facial dimensions of preadults between 14 and 19 years were different from those of participants younger than 13 years. The 14–19-year-old group was then reclassified, and their facial dimensions were compared to those of adults, revealing similarities to the facial dimensions of adults aged 20–69 years. Moreover, Fig. 7 reveals that the medium and large clusters of the 7–19-year group were in close proximity to the adult group. These two clusters demonstrate that the preadults (14–19 years of age) had facial parameters similar to that of adults. Adolescents in the 14 + age group demonstrated a face size similar to that of adults (Fig. 6). Most individuals in the 14 + age group were classified into the medium or large cluster. Both the medium and large clusters in the 7–14-year age group, along with the small cluster in adults, corresponded to the medium head form model.
Fig. 5

Changes in the facial size of participants between the ages of 7 and 19 years.

Fig. 6

Comparison of the facial size by age group (solid line indicates the mean value of the 20–69-year age group).

Fig. 7

Cluster classification of all age groups.

Changes in the facial size of participants between the ages of 7 and 19 years. Comparison of the facial size by age group (solid line indicates the mean value of the 20–69-year age group). Cluster classification of all age groups. Accordingly, most participants in the 7–19-year age group were represented with a medium head form model, while those with a relatively small face were represented with a small head form model (Fig. 7). Age-based cluster classification is presented in Fig. 7. The small clusters in the 7–19-year age group were in close proximity to those with the small head form (blue+) cluster, whereas the medium and large clusters in the 7–19-year age group and the small cluster in the 20–69-year age group were in close proximity to the medium head form (red+) cluster. Lastly, the medium and large clusters in the 20–69-year age group were in close proximity to the large head form (black+) cluster. Several children (aged ≤13 years) and adolescents showed smaller facial dimensions than adults and were represented by the small head form.

Korean head forms

The three head forms developed in the present study were similar or relatively shorter than the corresponding dimensions. Previous studies [30,35] have reported that the head forms of the 5 facial types with medium (140.0 mm), long/narrow (140.0 mm), and short/wide (141.0 mm) face widths were similar to medium head forms in Koreans aged 7–69 years. However, the large head forms described in the present study were similar to or slightly larger than those of the previous studies. Facial widths of small, medium, and large head forms were 127.1 mm, 143.2 mm, and 149.1 mm, respectively. Facial length of the large Korean head form was 120.2 mm, which was similar to that of medium (119.0 mm) head forms; however, the face lengths in the small and medium head forms were 90.6 and 104.0 mm, respectively, which were shorter than those in the previous studies [34,40]. Although United States and China have classified the head forms into five types, the present study classified the Korean faces into three types. The five head forms developed by United States and China were based on facial features without considering age and gender. In this study, although observed the facial dimensions of Koreans varied by age and gender (Table 3), we included all the participants in clustering analysis so as to determine head form models that could be used to test respirators, regardless of the age or gender of users. Three dimensional images were created using the cluster centroid of each item. The procedure was previously introduced by Seo et al. [13], and Lili et al. [31]. Standard head forms were produced using a 3D printer based on the pertinent 3D images. The head forms produced in this study were based on the standards that represent the facial dimensions of the Korean population and can be used to evaluate respirator performance. Hierarchical clustering was associated with the development of three head form models; in addition, there were significant differences between these clusters. Therefore, these three models are significantly distinct from each other considering the face size of the participants (Table 4). The large head form, representing particularly larger facial dimensions, must be used to test respirators for adults. Meanwhile, medium head forms are suitable for testing respirators in adults with small facial dimension or adolescents, and small head forms are ideal for testing respirators in children with small facial dimensions. International standard head forms, based on previous studies, were used to evaluate the performance of respirators designed for adults. The head forms designed by us can specifically be used to test the respirator performance of those worn by Koreans, including children. However, our study has some limitations. None of the head forms have been produced for children, and even the present study does not provide sufficient evidence regarding the small head form being useful for testing respirators worn by children. Furthermore, no RPD head forms have been produced for respirator performance tests in Korea, suggesting that the results of present study were limited because of the absence of an appropriate reference data. Previous studies have reported differences in facial size of the participants according to their countries. Unfortunately, there are no standard head form dimensions for children and adolescents, and there have been no previous studies that have compared Korean head form sizes. However, Seo et al [11,13] classified facial sizes of children, which could be used as a basis for head form production. Here, we demonstrated differences in facial size between countries and ethnicities, along with differences of the same between adults and children. Considering this, it is evident that there is a need for head forms that account for the facial sizes of those wearing respirators. Therefore, performance testing standards for the respirators worn by Koreans must be improved. In this regard, it is important that researchers produce head forms that represent the facial dimensions of the Korean population. According to a report by the National Institute of Environmental Research [3], respiratory systems of children were more vulnerable to the harmful effects of yellow dust and PM, and respirators are worn by a large population to protect them, including children and the elderly. Therefore, the present study is highly significant because it proposes head forms for respirator performance tests based on the facial dimensions of Korean citizens.

Conclusion

In conclusion, standard head forms for respirator performance tests must be produced considering the differences in the facial dimensions of the wearers. Particularly, considering that respirators are worn by the general public of all ages, it is imperative to include head forms for both adults and children. Head forms to evaluate respirator performance were also connected to a breathing machine to simulate human breathing, and a tracheal tube of the same specification must be inserted into the three head forms, in accordance with the ISO 16900-5 guidelines [19]. Furthermore, the skin texture of the head forms complied with material specifications and finishing standards. Head forms with texture similar to that of human skin were designed using 3D anthropometry; small, medium, and large faces were created considering the same. Accordingly, introduction of skin texture to simulate human participants in the respirator performance tests and the fabrication of head forms by connecting them to breathing machines could be considered as the strengths of this study. This study has significant implications because of the fact that it has developed the first Korean standard head forms to evaluate respirators.

Conflicts of interest

All authors declare that there are no conflicts of interest.
  8 in total

1.  Nanoparticle penetration through filter media and leakage through face seal interface of N95 filtering facepiece respirators.

Authors:  Samy Rengasamy; Benjamin C Eimer
Journal:  Ann Occup Hyg       Date:  2012-01-31

2.  Digital 3-D headforms with facial features representative of the current US workforce.

Authors:  Ziqing Zhuang; Stacey Benson; Dennis Viscusi
Journal:  Ergonomics       Date:  2010-05       Impact factor: 2.778

3.  Head-and-face anthropometric survey of U.S. respirator users.

Authors:  Ziqing Zhuang; Bruce Bradtmiller
Journal:  J Occup Environ Hyg       Date:  2005-11       Impact factor: 2.155

4.  Development of prototypes of half-mask facepieces for Koreans using the 3D digitizing design method: a pilot study.

Authors:  Don-Hee Han; Joomyung Rhi; Jinheon Lee
Journal:  Ann Occup Hyg       Date:  2004-10-27

5.  Head-and-face anthropometric survey of Chinese workers.

Authors:  Lili Du; Ziqing Zhuang; Hongyu Guan; Jingcai Xing; Xianzhi Tang; Limin Wang; Zhenglun Wang; Haijiao Wang; Yuewei Liu; Wenjin Su; Stacey Benson; Sean Gallagher; Dennis Viscusi; Weihong Chen
Journal:  Ann Occup Hyg       Date:  2008-09-01

6.  Digital 3-d headforms representative of chinese workers.

Authors:  Yanyan Yu; Stacey Benson; Wenjuan Cheng; James Hsiao; Yuewei Liu; Ziqing Zhuang; Weihong Chen
Journal:  Ann Occup Hyg       Date:  2011-09-14

7.  Head-and-face shape variations of U.S. civilian workers.

Authors:  Ziqing Zhuang; Chang Shu; Pengcheng Xi; Michael Bergman; Michael Joseph
Journal:  Appl Ergon       Date:  2013-02-08       Impact factor: 3.661

8.  Development of a Manikin-Based Performance Evaluation Method for Loose-Fitting Powered Air-Purifying Respirators.

Authors:  Mike Bergman; Rohan Basu; Zhipeng Lei; George Niezgoda; Ziqing Zhuang
Journal:  J Int Soc Respir Prot       Date:  2017
  8 in total

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