Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2068199737', 'doi': 'https://doi.org/10.1103/physreve.84.061918', 'title': 'Multivariate multiscale entropy: A tool for complexity analysis of multichannel data', 'display_name': 'Multivariate multiscale entropy: A tool for complexity analysis of multichannel data', 'publication_year': 2011, 'publication_date': '2011-12-27', 'ids': {'openalex': 'https://openalex.org/W2068199737', 'doi': 'https://doi.org/10.1103/physreve.84.061918', 'mag': '2068199737', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/22304127'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1103/physreve.84.061918', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S35412551', 'display_name': 'Physical Review E', 'issn_l': '1539-3755', 'issn': ['1539-3755', '1550-2376'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320261', 'host_organization_name': 'American Physical Society', 'host_organization_lineage': ['https://openalex.org/P4310320261'], 'host_organization_lineage_names': ['American Physical Society'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref', 'pubmed'], 'open_access': {'is_oa': True, 'oa_status': 'green', 'oa_url': 'http://spiral.imperial.ac.uk/bitstream/10044/1/15286/2/Physical%20Review%20E_84_6_2011.pdf', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5101843619', 'display_name': 'Mosabber Uddin Ahmed', 'orcid': 'https://orcid.org/0000-0002-4419-8632'}, 'institutions': [{'id': 'https://openalex.org/I47508984', 'display_name': 'Imperial College London', 'ror': 'https://ror.org/041kmwe10', 'country_code': 'GB', 'type': 'education', 'lineage': ['https://openalex.org/I47508984']}], 'countries': ['GB'], 'is_corresponding': False, 'raw_author_name': 'Mosabber Uddin Ahmed', 'raw_affiliation_strings': ['Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, United Kingdom.'], 'affiliations': [{'raw_affiliation_string': 'Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, United Kingdom.', 'institution_ids': ['https://openalex.org/I47508984']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5103001848', 'display_name': 'Danilo P. Mandic', 'orcid': 'https://orcid.org/0000-0001-8432-3963'}, 'institutions': [{'id': 'https://openalex.org/I47508984', 'display_name': 'Imperial College London', 'ror': 'https://ror.org/041kmwe10', 'country_code': 'GB', 'type': 'education', 'lineage': ['https://openalex.org/I47508984']}], 'countries': ['GB'], 'is_corresponding': False, 'raw_author_name': 'Danilo P. Mandic', 'raw_affiliation_strings': ['Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, United Kingdom.'], 'affiliations': [{'raw_affiliation_string': 'Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, United Kingdom.', 'institution_ids': ['https://openalex.org/I47508984']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 17.948, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 326, 'citation_normalized_percentile': {'value': 0.982168, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 99, 'max': 100}, 'biblio': {'volume': '84', 'issue': '6', 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11270', 'display_name': 'Complex Systems and Time Series Analysis', 'score': 0.993, 'subfield': {'id': 'https://openalex.org/subfields/2002', 'display_name': 'Economics and Econometrics'}, 'field': {'id': 'https://openalex.org/fields/20', 'display_name': 'Economics, Econometrics and Finance'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, 'topics': [{'id': 'https://openalex.org/T11270', 'display_name': 'Complex Systems and Time Series Analysis', 'score': 0.993, 'subfield': {'id': 'https://openalex.org/subfields/2002', 'display_name': 'Economics and Econometrics'}, 'field': {'id': 'https://openalex.org/fields/20', 'display_name': 'Economics, Econometrics and Finance'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, {'id': 'https://openalex.org/T10320', 'display_name': 'Neural Networks and Applications', 'score': 0.9668, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T12261', 'display_name': 'Statistical Mechanics and Entropy', 'score': 0.9505, 'subfield': {'id': 'https://openalex.org/subfields/3109', 'display_name': 'Statistical and Nonlinear Physics'}, 'field': {'id': 'https://openalex.org/fields/31', 'display_name': 'Physics and Astronomy'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/univariate', 'display_name': 'Univariate', 'score': 0.8319174}, {'id': 'https://openalex.org/keywords/sample-entropy', 'display_name': 'Sample entropy', 'score': 0.6144927}], 'concepts': [{'id': 'https://openalex.org/C161584116', 'wikidata': 'https://www.wikidata.org/wiki/Q1952580', 'display_name': 'Multivariate statistics', 'level': 2, 'score': 0.8749022}, {'id': 'https://openalex.org/C199163554', 'wikidata': 'https://www.wikidata.org/wiki/Q1681619', 'display_name': 'Univariate', 'level': 3, 'score': 0.8319174}, {'id': 'https://openalex.org/C66696666', 'wikidata': 'https://www.wikidata.org/wiki/Q17105612', 'display_name': 'Sample entropy', 'level': 3, 'score': 0.6144927}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5365536}, {'id': 'https://openalex.org/C38180746', 'wikidata': 'https://www.wikidata.org/wiki/Q1952580', 'display_name': 'Multivariate analysis', 'level': 2, 'score': 0.53065}, {'id': 'https://openalex.org/C106301342', 'wikidata': 'https://www.wikidata.org/wiki/Q4117933', 'display_name': 'Entropy (arrow of time)', 'level': 2, 'score': 0.48477525}, {'id': 'https://openalex.org/C208081375', 'wikidata': 'https://www.wikidata.org/wiki/Q274502', 'display_name': 'Degrees of freedom (physics and chemistry)', 'level': 2, 'score': 0.41682145}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.381772}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.3559933}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.3285063}, {'id': 'https://openalex.org/C151406439', 'wikidata': 'https://www.wikidata.org/wiki/Q186588', 'display_name': 'Time series', 'level': 2, 'score': 0.26074374}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.06656575}, {'id': 'https://openalex.org/C62520636', 'wikidata': 'https://www.wikidata.org/wiki/Q944', 'display_name': 'Quantum mechanics', 'level': 1, 'score': 0.0}], 'mesh': [{'descriptor_ui': 'D015999', 'descriptor_name': 'Multivariate Analysis', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D000328', 'descriptor_name': 'Adult', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D000368', 'descriptor_name': 'Aged', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D000369', 'descriptor_name': 'Aged, 80 and over', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D000465', 'descriptor_name': 'Algorithms', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D019277', 'descriptor_name': 'Entropy', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D005684', 'descriptor_name': 'Gait', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D006801', 'descriptor_name': 'Humans', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D017711', 'descriptor_name': 'Nonlinear Dynamics', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D015203', 'descriptor_name': 'Reproducibility of Results', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D013269', 'descriptor_name': 'Stochastic Processes', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D014919', 'descriptor_name': 'Wind', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D055815', 'descriptor_name': 'Young Adult', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}], 'locations_count': 3, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1103/physreve.84.061918', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S35412551', 'display_name': 'Physical Review E', 'issn_l': '1539-3755', 'issn': ['1539-3755', '1550-2376'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320261', 'host_organization_name': 'American Physical Society', 'host_organization_lineage': ['https://openalex.org/P4310320261'], 'host_organization_lineage_names': ['American Physical Society'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': True, 'landing_page_url': 'http://hdl.handle.net/10044/1/15286', 'pdf_url': 'http://spiral.imperial.ac.uk/bitstream/10044/1/15286/2/Physical%20Review%20E_84_6_2011.pdf', 'source': None, 'license': 'cc-by-nc-nd', 'license_id': 'https://openalex.org/licenses/cc-by-nc-nd', 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, {'is_oa': False, 'landing_page_url': 'https://pubmed.ncbi.nlm.nih.gov/22304127', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306525036', 'display_name': 'PubMed', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I1299303238', 'host_organization_name': 'National Institutes of Health', 'host_organization_lineage': ['https://openalex.org/I1299303238'], 'host_organization_lineage_names': ['National Institutes of Health'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'http://hdl.handle.net/10044/1/15286', 'pdf_url': 'http://spiral.imperial.ac.uk/bitstream/10044/1/15286/2/Physical%20Review%20E_84_6_2011.pdf', 'source': None, 'license': 'cc-by-nc-nd', 'license_id': 'https://openalex.org/licenses/cc-by-nc-nd', 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 38, 'referenced_works': ['https://openalex.org/W1862394037', 'https://openalex.org/W1890481640', 'https://openalex.org/W1971732569', 'https://openalex.org/W1975880065', 'https://openalex.org/W1978911353', 'https://openalex.org/W1979957032', 'https://openalex.org/W1990785877', 'https://openalex.org/W1995511522', 'https://openalex.org/W1995875735', 'https://openalex.org/W2007979658', 'https://openalex.org/W2029419752', 'https://openalex.org/W2036613247', 'https://openalex.org/W2047126007', 'https://openalex.org/W2052827267', 'https://openalex.org/W2059851411', 'https://openalex.org/W2073630396', 'https://openalex.org/W2077204677', 'https://openalex.org/W2083198269', 'https://openalex.org/W2083928853', 'https://openalex.org/W2091192187', 'https://openalex.org/W2093266575', 'https://openalex.org/W2097078813', 'https://openalex.org/W2099857714', 'https://openalex.org/W2102568183', 'https://openalex.org/W2121383959', 'https://openalex.org/W2128957129', 'https://openalex.org/W2132198832', 'https://openalex.org/W2133849899', 'https://openalex.org/W2152702278', 'https://openalex.org/W2164102251', 'https://openalex.org/W2167742500', 'https://openalex.org/W2476841360', 'https://openalex.org/W2492703958', 'https://openalex.org/W3036383388', 'https://openalex.org/W3105733113', 'https://openalex.org/W3124661333', 'https://openalex.org/W3143835353', 'https://openalex.org/W4299429830'], 'related_works': ['https://openalex.org/W3121881699', 'https://openalex.org/W2889939530', 'https://openalex.org/W2748838164', 'https://openalex.org/W2399195672', 'https://openalex.org/W2122079181', 'https://openalex.org/W2066015000', 'https://openalex.org/W2049578243', 'https://openalex.org/W2000145235', 'https://openalex.org/W1985848810', 'https://openalex.org/W1828158523'], 'abstract_inverted_index': {'This': [0, 15], 'work': [1], 'generalizes': [2], 'the': [3, 12, 62, 75, 83], 'recently': [4], 'introduced': [5], 'univariate': [6], 'multiscale': [7], 'entropy': [8, 22], '(MSE)': [9], 'analysis': [10, 76, 92], 'to': [11, 30, 57], 'multivariate': [13, 20, 51, 94], 'case.': [14], 'is': [16, 55], 'achieved': [17], 'by': [18, 43, 88], 'introducing': [19], 'sample': [21], '(MSampEn)': [23], 'in': [24, 28, 38, 74], 'a': [25], 'rigorous': [26], 'way,': [27], 'order': [29], 'account': [31], 'for': [32], 'both': [33], 'within-': [34], 'and': [35, 42, 69, 97, 102], 'cross-channel': [36], 'dependencies': [37], 'multiple': [39, 47], 'data': [40], 'channels,': [41], 'evaluating': [44], 'it': [45], 'over': [46], 'temporal': [48], 'scales.': [49], 'The': [50, 80], 'MSE': [52], '(MMSE)': [53], 'method': [54], 'shown': [56], 'provide': [58], 'an': [59], 'assessment': [60], 'of': [61, 66, 72, 82, 93], 'underlying': [63], 'dynamical': [64], 'richness': [65], 'multichannel': [67, 100], 'observations,': [68], 'more': [70], 'degrees': [71], 'freedom': [73], 'than': [77], 'standard': [78], 'MSE.': [79], 'benefits': [81], 'proposed': [84], 'approach': [85], 'are': [86], 'illustrated': [87], 'simulations': [89], 'on': [90, 98], 'complexity': [91], 'stochastic': [95], 'processes': [96], 'real-world': [99], 'physiological': [101], 'environmental': [103], 'data.': [104]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2068199737', 'counts_by_year': [{'year': 2024, 'cited_by_count': 13}, {'year': 2023, 'cited_by_count': 22}, {'year': 2022, 'cited_by_count': 28}, {'year': 2021, 'cited_by_count': 35}, {'year': 2020, 'cited_by_count': 33}, {'year': 2019, 'cited_by_count': 38}, {'year': 2018, 'cited_by_count': 39}, {'year': 2017, 'cited_by_count': 34}, {'year': 2016, 'cited_by_count': 28}, {'year': 2015, 'cited_by_count': 24}, {'year': 2014, 'cited_by_count': 11}, {'year': 2013, 'cited_by_count': 15}, {'year': 2012, 'cited_by_count': 6}], 'updated_date': '2025-01-10T13:47:26.272062', 'created_date': '2016-06-24'}