Titlebook: IoT Technologies for HealthCare; 9th EAI Internationa Susanna Spinsante,Grazia Iadarola,Federico Tramari Conference proceedings 2023 ICST I

Harrison

書目名稱IoT Technologies for HealthCare影響因子(影響力)




書目名稱IoT Technologies for HealthCare影響因子(影響力)學(xué)科排名




書目名稱IoT Technologies for HealthCare網(wǎng)絡(luò)公開度




書目名稱IoT Technologies for HealthCare網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱IoT Technologies for HealthCare被引頻次




書目名稱IoT Technologies for HealthCare被引頻次學(xué)科排名




書目名稱IoT Technologies for HealthCare年度引用




書目名稱IoT Technologies for HealthCare年度引用學(xué)科排名




書目名稱IoT Technologies for HealthCare讀者反饋




書目名稱IoT Technologies for HealthCare讀者反饋學(xué)科排名

狂亂

刪減

Gender Classification Using nonstandard ECG Signals - A Conceptual Framework of?Implementationdictive systems for cardiovascular disease. These classifications are promising due to the use of nonstandard ECG and to the simplicity of extraction of features that potentiated the correct classification

semble

嚙齒動(dòng)物

1867-8211 cted from 37 submissions. The papers are organized in the following topical sections: Analysis of Measurement Data in IoT Technologies for Health; and IoT Applications in Research and Clinical Practice..978-3-031-28662-9978-3-031-28663-6Series ISSN 1867-8211 Series E-ISSN 1867-822X

Offbeat

1867-8211 which was held in Braga, Portugal, in November 2022..The 11 full papers and 2 invited papers presented in this volume were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: Analysis of Measurement Data in IoT Technologies for Health; and

烤架

Parley

Exploiting Blood Volume Pulse and?Skin Conductance for?Driver Drowsiness DetectionDifferent ML algorithms are tested on signals collected from 9 subjects to classify the drowsiness status, considering different data segmentation options. Results show that using a different window length for data segmentation does not influence ML performance.

心神不寧

拱形面包