{"id":"https://openalex.org/W4402349327","doi":"https://doi.org/10.1145/3665314.3670815","title":"Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables","display_name":"Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables","publication_year":2024,"publication_date":"2024-08-05","ids":{"openalex":"https://openalex.org/W4402349327","doi":"https://doi.org/10.1145/3665314.3670815"},"language":"en","primary_location":{"id":"doi:10.1145/3665314.3670815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3665314.3670815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/bitstreams/3b9166ed-c1f8-48e2-8d83-98594879394a/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093314655","display_name":"Hossein Taji","orcid":"https://orcid.org/0009-0006-7794-5960"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Hossein Taji","raw_affiliation_strings":["Embedded Systems Laboratory (ESL), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Embedded Systems Laboratory (ESL), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069443360","display_name":"Jos\u00e9 Miranda","orcid":"https://orcid.org/0000-0002-7275-4616"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Miranda","raw_affiliation_strings":["Embedded Systems Laboratory (ESL), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Embedded Systems Laboratory (ESL), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077396279","display_name":"Miguel Pe\u00f3n-Quir\u00f3s","orcid":"https://orcid.org/0000-0002-5760-090X"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Miguel Pe\u00f3n-Quir\u00f3s","raw_affiliation_strings":["EcoCloud, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"EcoCloud, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074236306","display_name":"David Atienza","orcid":"https://orcid.org/0000-0001-9536-4947"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"David Atienza","raw_affiliation_strings":["Embedded Systems Laboratory (ESL), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Embedded Systems Laboratory (ESL), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093314655"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.1073,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75516625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7280372381210327},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7084119319915771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6669133901596069},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5243349671363831},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5127238035202026},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3346537947654724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3339606523513794},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18595671653747559},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.13988789916038513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13625600934028625}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7280372381210327},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7084119319915771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6669133901596069},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5243349671363831},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5127238035202026},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3346537947654724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3339606523513794},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18595671653747559},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.13988789916038513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13625600934028625},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3665314.3670815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3665314.3670815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:311192","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/311192","pdf_url":"https://infoscience.epfl.ch/bitstreams/3b9166ed-c1f8-48e2-8d83-98594879394a/download","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:311192","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/311192","pdf_url":"https://infoscience.epfl.ch/bitstreams/3b9166ed-c1f8-48e2-8d83-98594879394a/download","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402349327.pdf","grobid_xml":"https://content.openalex.org/works/W4402349327.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2756825072","https://openalex.org/W2898810676","https://openalex.org/W2943798647","https://openalex.org/W2944485738","https://openalex.org/W2945948350","https://openalex.org/W3171973026","https://openalex.org/W3175497931","https://openalex.org/W4295486941","https://openalex.org/W4323852277","https://openalex.org/W4385324691"],"related_works":["https://openalex.org/W2294565841","https://openalex.org/W3204276839","https://openalex.org/W4229671472","https://openalex.org/W2513792068","https://openalex.org/W2519522639","https://openalex.org/W4293469093","https://openalex.org/W2006668579","https://openalex.org/W2603734352","https://openalex.org/W2044411622","https://openalex.org/W1598846888"],"abstract_inverted_index":{"In":[0],"wearable":[1,192],"sensors,":[2],"energy":[3,47,135,149,185],"efficiency":[4,186],"is":[5],"crucial,":[6],"particularly":[7],"during":[8,32,187],"phases":[9],"where":[10],"devices":[11],"are":[12],"not":[13],"processing,":[14],"but":[15,38],"rather":[16],"acquiring":[17],"biosignals":[18],"for":[19,71,91,99,113,165,178],"subsequent":[20],"analysis.":[21],"This":[22,159],"study":[23],"focuses":[24],"on":[25,117,121],"improving":[26],"the":[27,72,89,100,173,188],"power":[28,56,124,175],"consumption":[29,57,150],"of":[30,102,191],"wearables":[31],"these":[33,114],"acquisition":[34,189],"phases,":[35],"a":[36,106,140,162],"critical":[37],"often":[39],"overlooked":[40],"aspect":[41],"that":[42],"substantially":[43],"affects":[44],"overall":[45],"device":[46],"consumption,":[48],"especially":[49],"in":[50,139],"low-duty-cycle":[51],"applications.":[52],"Our":[53,181],"approach":[54],"optimizes":[55],"by":[58,151],"leveraging":[59],"application-specific":[60],"requirements":[61],"(e.g.,":[62,68,83],"required":[63],"signal":[64],"profile),":[65],"platform":[66,125],"characteristics":[67],"transition-time":[69],"overhead":[70],"clock":[73],"generators":[74],"and":[75,78,96,126,168,176],"power-gating":[76],"capabilities),":[77],"analog":[79],"biosignal":[80],"front-end":[81],"specifications":[82],"ADC":[84],"buffer":[85],"sizes).":[86],"We":[87],"refine":[88],"strategy":[90],"switching":[92],"between":[93],"low-power":[94],"idle":[95],"active":[97],"states":[98],"storage":[101],"acquired":[103],"data,":[104],"introducing":[105],"novel":[107],"method":[108,146],"to":[109,153,156],"select":[110],"optimal":[111],"frequencies":[112],"states.":[115],"Based":[116],"several":[118],"case":[119],"studies":[120],"an":[122],"ultra-low":[123],"different":[127],"biomedical":[128],"applications,":[129],"our":[130,145],"optimization":[131,167,179],"methodology":[132],"achieves":[133],"substantial":[134],"savings.":[136],"For":[137],"example,":[138],"12-lead":[141],"heartbeat":[142],"classification":[143],"task,":[144],"reduces":[147],"total":[148],"up":[152],"58%":[154],"compared":[155],"state-of-the-art":[157],"methods.":[158],"research":[160],"provides":[161],"theoretical":[163],"basis":[164],"frequency":[166],"practical":[169],"insights,":[170],"including":[171],"characterizing":[172],"platform's":[174],"overheads":[177],"purposes.":[180],"findings":[182],"significantly":[183],"improve":[184],"phase":[190],"devices,":[193],"thus":[194],"extending":[195],"their":[196],"operational":[197],"lifespan.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
