Contact-free measurement of heart rate, respiration rate, and body movements during sleep View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-08

AUTHORS

Mark Brink, Christopher H. Müller, Christoph Schierz

ABSTRACT

We describe a noncontact method for the ambulant measurement of basic sleep physiology parameters in humans, particularly for field studies involving sleep research and sleep disturbances. This method traces the body movements, respiration, and heart action of a person at rest or asleep on a bed, using four high-resolution force sensors installed under the bedposts. The recoil movement of the body at each heartbeat, known as the cardioballistic effect, as well as the lifting and lowering of the thorax, while breathing, causes very small shifts of the center of gravity of the bed and the subject. These shifts are reflected in the altering force distributions across the four sensors. Cardiac and respiratory parameters and the subject’s movement activity can be calculated from the sensor signals. Neither electrodes nor other kinds of transducers are in direct contact with the subject, which is the main advantage of this technique over conventional methods. Laboratory experiments were carried out to estimate validity and practicability. The method has been found to be adequate, especially for automated and unattended sleep-data collection over long periods of time. More... »

PAGES

511-521

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.3758/bf03192806

DOI

http://dx.doi.org/10.3758/bf03192806

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049943057

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17186762


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1702", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ballistocardiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Data Collection", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Monitoring, Physiologic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Movement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polysomnography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Respiration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sleep", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Center for Organizational and Occupational Sciences (ZOA), ETH Z\u00fcrich, LEO B7.2, CH-8092, Z\u00fcrich, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "Center for Organizational and Occupational Sciences (ZOA), ETH Z\u00fcrich, LEO B7.2, CH-8092, Z\u00fcrich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brink", 
        "givenName": "Mark", 
        "id": "sg:person.0654122730.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654122730.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ergonomie & Technologie GmbH, Zurich, Switzerland", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Ergonomie & Technologie GmbH, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "M\u00fcller", 
        "givenName": "Christopher H.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for Organizational and Occupational Sciences (ZOA), ETH Z\u00fcrich, LEO B7.2, CH-8092, Z\u00fcrich, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "Center for Organizational and Occupational Sciences (ZOA), ETH Z\u00fcrich, LEO B7.2, CH-8092, Z\u00fcrich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schierz", 
        "givenName": "Christoph", 
        "id": "sg:person.0764365517.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764365517.07"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02441435", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037386968", 
          "https://doi.org/10.1007/bf02441435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02477182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029148741", 
          "https://doi.org/10.1007/bf02477182"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-08", 
    "datePublishedReg": "2006-08-01", 
    "description": "We describe a noncontact method for the ambulant measurement of basic sleep physiology parameters in humans, particularly for field studies involving sleep research and sleep disturbances. This method traces the body movements, respiration, and heart action of a person at rest or asleep on a bed, using four high-resolution force sensors installed under the bedposts. The recoil movement of the body at each heartbeat, known as the cardioballistic effect, as well as the lifting and lowering of the thorax, while breathing, causes very small shifts of the center of gravity of the bed and the subject. These shifts are reflected in the altering force distributions across the four sensors. Cardiac and respiratory parameters and the subject\u2019s movement activity can be calculated from the sensor signals. Neither electrodes nor other kinds of transducers are in direct contact with the subject, which is the main advantage of this technique over conventional methods. Laboratory experiments were carried out to estimate validity and practicability. The method has been found to be adequate, especially for automated and unattended sleep-data collection over long periods of time.", 
    "genre": "article", 
    "id": "sg:pub.10.3758/bf03192806", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1319746", 
        "issn": [
          "1554-351X", 
          "1532-5970"
        ], 
        "name": "Behavior Research Methods", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "keywords": [
      "ambulant measurements", 
      "sleep disturbances", 
      "heart rate", 
      "respiratory parameters", 
      "sleep data collection", 
      "body movements", 
      "heart action", 
      "physiology parameters", 
      "sleep research", 
      "movement activity", 
      "subjects", 
      "sleep", 
      "bedpost", 
      "direct contact", 
      "thorax", 
      "long period", 
      "rate", 
      "humans", 
      "persons", 
      "rest", 
      "period", 
      "activity", 
      "study", 
      "center", 
      "action", 
      "movement", 
      "heartbeat", 
      "lowering", 
      "effect", 
      "bed", 
      "disturbances", 
      "respiration rate", 
      "body", 
      "center of gravity", 
      "respiration", 
      "method", 
      "lifting", 
      "contact", 
      "time", 
      "validity", 
      "measurements", 
      "transducer", 
      "recoil movements", 
      "collection", 
      "parameters", 
      "conventional methods", 
      "noncontact method", 
      "research", 
      "shift", 
      "high-resolution force sensor", 
      "technique", 
      "signals", 
      "advantages", 
      "distribution", 
      "field study", 
      "small shifts", 
      "contact-free measurements", 
      "experiments", 
      "force distribution", 
      "force sensor", 
      "main advantage", 
      "electrode", 
      "practicability", 
      "kind", 
      "gravity", 
      "kind of transducer", 
      "sensors", 
      "laboratory experiments", 
      "sensor signals"
    ], 
    "name": "Contact-free measurement of heart rate, respiration rate, and body movements during sleep", 
    "pagination": "511-521", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1049943057"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.3758/bf03192806"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "17186762"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.3758/bf03192806", 
      "https://app.dimensions.ai/details/publication/pub.1049943057"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_422.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.3758/bf03192806"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.3758/bf03192806'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.3758/bf03192806'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.3758/bf03192806'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.3758/bf03192806'


 

This table displays all metadata directly associated to this object as RDF triples.

227 TRIPLES      22 PREDICATES      116 URIs      103 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.3758/bf03192806 schema:about N05934b2069fe4b96888890e30c9f22a1
2 N1184ff361f0a43d8a453168aa43bd013
3 N37501d3e146b4da0941d42d19e18bb90
4 N5c1b01c497484513b76e7e2a37680cff
5 N60daf30f512f4bdea683ea0eb238799a
6 N6d70dc90d15c44fd93a6cd599f1aa36f
7 N6f920cbd4c034674808c95d3ee20f85e
8 N88dc227fbe8b4b6c87a25d3573885c85
9 N973ac86ff8e14d8ead2a365f18764208
10 Nbdbf41df27f1410287511d1fe4da5add
11 Nbf9660a13dca46498220b7938bfdfc17
12 Nc61cee562fac42e887e0206c93d30fbe
13 Nd64bf6551b8b45d08a5bfcc5b4264a58
14 Nda4897114ca64922ad9900a07893af8e
15 Nf0bf312ab8854a1e9f5725d08868b4b2
16 anzsrc-for:08
17 anzsrc-for:0801
18 anzsrc-for:17
19 anzsrc-for:1701
20 anzsrc-for:1702
21 schema:author N2a9cf8266bd34fc59939a0a33da6fb75
22 schema:citation sg:pub.10.1007/bf02441435
23 sg:pub.10.1007/bf02477182
24 schema:datePublished 2006-08
25 schema:datePublishedReg 2006-08-01
26 schema:description We describe a noncontact method for the ambulant measurement of basic sleep physiology parameters in humans, particularly for field studies involving sleep research and sleep disturbances. This method traces the body movements, respiration, and heart action of a person at rest or asleep on a bed, using four high-resolution force sensors installed under the bedposts. The recoil movement of the body at each heartbeat, known as the cardioballistic effect, as well as the lifting and lowering of the thorax, while breathing, causes very small shifts of the center of gravity of the bed and the subject. These shifts are reflected in the altering force distributions across the four sensors. Cardiac and respiratory parameters and the subject’s movement activity can be calculated from the sensor signals. Neither electrodes nor other kinds of transducers are in direct contact with the subject, which is the main advantage of this technique over conventional methods. Laboratory experiments were carried out to estimate validity and practicability. The method has been found to be adequate, especially for automated and unattended sleep-data collection over long periods of time.
27 schema:genre article
28 schema:inLanguage en
29 schema:isAccessibleForFree true
30 schema:isPartOf N3518b4daaeed4e7790b6e664b2efcbf9
31 N8686ec0bafad46348a15de8a16deda69
32 sg:journal.1319746
33 schema:keywords action
34 activity
35 advantages
36 ambulant measurements
37 bed
38 bedpost
39 body
40 body movements
41 center
42 center of gravity
43 collection
44 contact
45 contact-free measurements
46 conventional methods
47 direct contact
48 distribution
49 disturbances
50 effect
51 electrode
52 experiments
53 field study
54 force distribution
55 force sensor
56 gravity
57 heart action
58 heart rate
59 heartbeat
60 high-resolution force sensor
61 humans
62 kind
63 kind of transducer
64 laboratory experiments
65 lifting
66 long period
67 lowering
68 main advantage
69 measurements
70 method
71 movement
72 movement activity
73 noncontact method
74 parameters
75 period
76 persons
77 physiology parameters
78 practicability
79 rate
80 recoil movements
81 research
82 respiration
83 respiration rate
84 respiratory parameters
85 rest
86 sensor signals
87 sensors
88 shift
89 signals
90 sleep
91 sleep data collection
92 sleep disturbances
93 sleep research
94 small shifts
95 study
96 subjects
97 technique
98 thorax
99 time
100 transducer
101 validity
102 schema:name Contact-free measurement of heart rate, respiration rate, and body movements during sleep
103 schema:pagination 511-521
104 schema:productId N3d83bfdb88844568b335043cc05c01d9
105 Nbccd2433529646e1b90de97a996c386d
106 Nbd2e564f2e6844b2b50efed590d47c46
107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049943057
108 https://doi.org/10.3758/bf03192806
109 schema:sdDatePublished 2022-05-20T07:24
110 schema:sdLicense https://scigraph.springernature.com/explorer/license/
111 schema:sdPublisher N8652bcafa188458a9b29f8ac82cc0d12
112 schema:url https://doi.org/10.3758/bf03192806
113 sgo:license sg:explorer/license/
114 sgo:sdDataset articles
115 rdf:type schema:ScholarlyArticle
116 N05934b2069fe4b96888890e30c9f22a1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Movement
118 rdf:type schema:DefinedTerm
119 N1184ff361f0a43d8a453168aa43bd013 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Male
121 rdf:type schema:DefinedTerm
122 N2a9cf8266bd34fc59939a0a33da6fb75 rdf:first sg:person.0654122730.26
123 rdf:rest Nf9108ec3410b404ea40faf16e57b2935
124 N3518b4daaeed4e7790b6e664b2efcbf9 schema:issueNumber 3
125 rdf:type schema:PublicationIssue
126 N37501d3e146b4da0941d42d19e18bb90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Reproducibility of Results
128 rdf:type schema:DefinedTerm
129 N3c9bacfb6f1646eaa11d68ac74032c94 rdf:first sg:person.0764365517.07
130 rdf:rest rdf:nil
131 N3d83bfdb88844568b335043cc05c01d9 schema:name dimensions_id
132 schema:value pub.1049943057
133 rdf:type schema:PropertyValue
134 N5c1b01c497484513b76e7e2a37680cff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Data Collection
136 rdf:type schema:DefinedTerm
137 N60daf30f512f4bdea683ea0eb238799a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Humans
139 rdf:type schema:DefinedTerm
140 N6d70dc90d15c44fd93a6cd599f1aa36f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Female
142 rdf:type schema:DefinedTerm
143 N6f920cbd4c034674808c95d3ee20f85e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Ballistocardiography
145 rdf:type schema:DefinedTerm
146 N8652bcafa188458a9b29f8ac82cc0d12 schema:name Springer Nature - SN SciGraph project
147 rdf:type schema:Organization
148 N8686ec0bafad46348a15de8a16deda69 schema:volumeNumber 38
149 rdf:type schema:PublicationVolume
150 N88dc227fbe8b4b6c87a25d3573885c85 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Respiration
152 rdf:type schema:DefinedTerm
153 N973ac86ff8e14d8ead2a365f18764208 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Sensitivity and Specificity
155 rdf:type schema:DefinedTerm
156 Nb3b1673573a14426989ebfc0f402cbed schema:affiliation grid-institutes:None
157 schema:familyName Müller
158 schema:givenName Christopher H.
159 rdf:type schema:Person
160 Nbccd2433529646e1b90de97a996c386d schema:name doi
161 schema:value 10.3758/bf03192806
162 rdf:type schema:PropertyValue
163 Nbd2e564f2e6844b2b50efed590d47c46 schema:name pubmed_id
164 schema:value 17186762
165 rdf:type schema:PropertyValue
166 Nbdbf41df27f1410287511d1fe4da5add schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Middle Aged
168 rdf:type schema:DefinedTerm
169 Nbf9660a13dca46498220b7938bfdfc17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Adult
171 rdf:type schema:DefinedTerm
172 Nc61cee562fac42e887e0206c93d30fbe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Heart Rate
174 rdf:type schema:DefinedTerm
175 Nd64bf6551b8b45d08a5bfcc5b4264a58 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Monitoring, Physiologic
177 rdf:type schema:DefinedTerm
178 Nda4897114ca64922ad9900a07893af8e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Polysomnography
180 rdf:type schema:DefinedTerm
181 Nf0bf312ab8854a1e9f5725d08868b4b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Sleep
183 rdf:type schema:DefinedTerm
184 Nf9108ec3410b404ea40faf16e57b2935 rdf:first Nb3b1673573a14426989ebfc0f402cbed
185 rdf:rest N3c9bacfb6f1646eaa11d68ac74032c94
186 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
187 schema:name Information and Computing Sciences
188 rdf:type schema:DefinedTerm
189 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
190 schema:name Artificial Intelligence and Image Processing
191 rdf:type schema:DefinedTerm
192 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
193 schema:name Psychology and Cognitive Sciences
194 rdf:type schema:DefinedTerm
195 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
196 schema:name Psychology
197 rdf:type schema:DefinedTerm
198 anzsrc-for:1702 schema:inDefinedTermSet anzsrc-for:
199 schema:name Cognitive Sciences
200 rdf:type schema:DefinedTerm
201 sg:journal.1319746 schema:issn 1532-5970
202 1554-351X
203 schema:name Behavior Research Methods
204 schema:publisher Springer Nature
205 rdf:type schema:Periodical
206 sg:person.0654122730.26 schema:affiliation grid-institutes:grid.5801.c
207 schema:familyName Brink
208 schema:givenName Mark
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654122730.26
210 rdf:type schema:Person
211 sg:person.0764365517.07 schema:affiliation grid-institutes:grid.5801.c
212 schema:familyName Schierz
213 schema:givenName Christoph
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764365517.07
215 rdf:type schema:Person
216 sg:pub.10.1007/bf02441435 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037386968
217 https://doi.org/10.1007/bf02441435
218 rdf:type schema:CreativeWork
219 sg:pub.10.1007/bf02477182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029148741
220 https://doi.org/10.1007/bf02477182
221 rdf:type schema:CreativeWork
222 grid-institutes:None schema:alternateName Ergonomie & Technologie GmbH, Zurich, Switzerland
223 schema:name Ergonomie & Technologie GmbH, Zurich, Switzerland
224 rdf:type schema:Organization
225 grid-institutes:grid.5801.c schema:alternateName Center for Organizational and Occupational Sciences (ZOA), ETH Zürich, LEO B7.2, CH-8092, Zürich, Switzerland
226 schema:name Center for Organizational and Occupational Sciences (ZOA), ETH Zürich, LEO B7.2, CH-8092, Zürich, Switzerland
227 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...