{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T00:19:49Z","timestamp":1761178789515,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","funder":[{"name":"German Federal Ministry of Research, Technology and Space (BMFTR), German Research Foundation (DFG)","award":["16KIS1986K","DR 639\/21-2"],"award-info":[{"award-number":["16KIS1986K","DR 639\/21-2"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,23]]},"DOI":"10.1145\/3760544.3764127","type":"proceedings-article","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T12:56:43Z","timestamp":1761137803000},"page":"22-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Breath Patterns as Signals: A Machine Learning-based Molecular Communication Perspective"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9878-7328","authenticated-orcid":false,"given":"Sunasheer","family":"Bhattacharjee","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Computer Science, TU Berlin, Berlin, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1218-4022","authenticated-orcid":false,"given":"Saswati","family":"Pal","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, TU Berlin, Berlin, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9441-910X","authenticated-orcid":false,"given":"P\u00e9ter","family":"Scheepers","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, TU Berlin, Berlin, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1989-1750","authenticated-orcid":false,"given":"Falko","family":"Dressler","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, TU Berlin, Berlin, Germany"}]}],"member":"320","published-online":{"date-parts":[[2025,10,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2015.7060516"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1152\/ajplung.00314.2024"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.healthpol.2018.05.014"},{"key":"e_1_3_2_1_4_1","volume-title":"carbon dioxide response curve. StatPearls [Internet]","author":"Benner Andrew","unstructured":"Andrew Benner, Noble F. Lewallen, Sandeep Sharma. 2023. Physiology, carbon dioxide response curve. StatPearls [Internet]. StatPearls Publishing. https:\/\/www.ncbi.nlm.nih.gov\/books\/NBK538146\/"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","unstructured":"Sunasheer Bhattacharjee Dadi Bi Pit Hofmann et al. 2025. Exhaled breath analysis through the lens of molecular communication: A survey. cs.ET 2504.18326. arXiv. 10.48550\/arXiv.2504.18326","DOI":"10.48550\/arXiv.2504.18326"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMBMC.2022.3220109"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13613-023-01112-1"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/adsr.202300018"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","unstructured":"Maximilian Christ Nils Braun Julius Neuffer et al. 2018. Time series feature extraction on basis of scalable hypothesis tests (tsfresh - a python package). Neurocomputing 307 (Sept. 2018) 72\u201377. 10.1016\/j.neucom.2018.03.067","DOI":"10.1016\/j.neucom.2018.03.067"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nancom.2015.01.006"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1088\/1752-7163\/2\/3\/030301"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","unstructured":"Ahmad Faried Andi N. Sendjaja Regina Melia et al. 2016. Bradycardia without hypertension and bradypnea in acute traumatic subdural hematoma is a sensitive predictor of the Cushing triad: 3 case reports. Interdisciplinary Neurosurgery 6 (Dec. 2016) 84\u201386. 10.1016\/j.inat.2016.10.001","DOI":"10.1016\/j.inat.2016.10.001"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0082935"},{"key":"e_1_3_2_1_15_1","volume-title":"Support vector regression to predict power consumption","author":"Ghasempour Alireza","unstructured":"Alireza Ghasempour. 2024. Support vector regression to predict power consumption. Engineering Publications. The University of New Mexico."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/mcom.2018.1800530"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","unstructured":"Amit Krishan Kumar M. Ritam Lina Han et al. 2022. Deep learning for predicting respiratory rate from biosignals. Computers in Biology and Medicine 144 (May 2022) 1\u201313. 10.1016\/j.compbiomed.2022.105338","DOI":"10.1016\/j.compbiomed.2022.105338"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.3390\/s22228854"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/icassp.2015.7179027"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21124187"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-03146-6_86"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/3327757.3327770"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20030653"},{"key":"e_1_3_2_1_24_1","volume-title":"Vital sign assessment. StatPearls [Internet]","author":"Sapra Amit","unstructured":"Amit Sapra, Ahmad Malik, Priyanka Bhandari. 2023. Vital sign assessment. StatPearls [Internet]. StatPearls Publishing. https:\/\/pubmed.ncbi.nlm.nih.gov\/30844173\/"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000956"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0301-0082(98)00031-8"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21227620"}],"event":{"name":"NANOCOM '25: 12th Annual ACM International Conference on Nanoscale Computing and Communication","location":"University of Electronic Science and Technology of China Chengdu China","acronym":"NANOCOM '25","sponsor":["SIGARCH ACM Special Interest Group on Computer Architecture"]},"container-title":["Proceedings of the 12th Annual ACM International Conference on Nanoscale Computing and Communication"],"original-title":[],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T12:57:13Z","timestamp":1761137833000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3760544.3764127"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,22]]},"references-count":27,"alternative-id":["10.1145\/3760544.3764127","10.1145\/3760544"],"URL":"https:\/\/doi.org\/10.1145\/3760544.3764127","relation":{},"subject":[],"published":{"date-parts":[[2025,10,22]]},"assertion":[{"value":"2025-10-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}