Matches in SemOpenAlex for { <https://semopenalex.org/work/W2994583183> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2994583183 abstract "This paper proposes a novel electrocardiogram (ECG) monitoring system with an artificial intelligence of things (AIoT) design and is based on a decision tree [1]. The proposed system includes a front-end device and a software system. The front-end device includes a solar charging circuit, a wireless charging circuit, and an analog front-end circuit. The analog front-end block is composed of an ECG sensing circuit, a microcontroller unit (MCU), and a Bluetooth low-energy (BLE) module. This paper also proposes an iOS-based app with decision-tree model. Real-time ECG data are classified by the decision-tree model into different arrhythmias, and the average delay latency is 500 ms. Meanwhile, with 4G or Wi-Fi, the collected ECG data are uploaded to the cloud server for training the decision tree, and the coefficients of the pre-trained decision tree will be sent back to update the decision-tree model in the app. An accuracy of 98.22% is achieved. Through the proposed AIoT system, doctors and users can perform long-term ECG monitoring, which is valuable for cardiovascular-disease diagnosis. Doctors can also instantly assist users with the web-user interface to meet the needs of telemedicine. The proposed AIoT system is also used in human trials in the National Cheng Kung University Hospital. The power consumption of the proposed front-end device is 8.25 mW, and it can be continuously used for up to 32 h with a 120 mAh lithium-ion battery. When operated on solar charging, the device can continue working until the solar cell runs out of power." @default.
- W2994583183 created "2019-12-13" @default.
- W2994583183 creator A5015308343 @default.
- W2994583183 creator A5043317731 @default.
- W2994583183 creator A5048876074 @default.
- W2994583183 creator A5054683819 @default.
- W2994583183 creator A5072457956 @default.
- W2994583183 creator A5091362742 @default.
- W2994583183 date "2019-10-01" @default.
- W2994583183 modified "2023-09-25" @default.
- W2994583183 title "An AIoT Wearable ECG Patch with Decision Tree for Arrhythmia Analysis" @default.
- W2994583183 cites W1979276457 @default.
- W2994583183 cites W1987045148 @default.
- W2994583183 cites W2283856908 @default.
- W2994583183 cites W2586880591 @default.
- W2994583183 cites W2614036781 @default.
- W2994583183 cites W2898682710 @default.
- W2994583183 cites W2902644322 @default.
- W2994583183 cites W4236137412 @default.
- W2994583183 doi "https://doi.org/10.1109/biocas.2019.8919141" @default.
- W2994583183 hasPublicationYear "2019" @default.
- W2994583183 type Work @default.
- W2994583183 sameAs 2994583183 @default.
- W2994583183 citedByCount "5" @default.
- W2994583183 countsByYear W29945831832021 @default.
- W2994583183 countsByYear W29945831832023 @default.
- W2994583183 crossrefType "proceedings-article" @default.
- W2994583183 hasAuthorship W2994583183A5015308343 @default.
- W2994583183 hasAuthorship W2994583183A5043317731 @default.
- W2994583183 hasAuthorship W2994583183A5048876074 @default.
- W2994583183 hasAuthorship W2994583183A5054683819 @default.
- W2994583183 hasAuthorship W2994583183A5072457956 @default.
- W2994583183 hasAuthorship W2994583183A5091362742 @default.
- W2994583183 hasConcept C111919701 @default.
- W2994583183 hasConcept C113174947 @default.
- W2994583183 hasConcept C134306372 @default.
- W2994583183 hasConcept C149635348 @default.
- W2994583183 hasConcept C150594956 @default.
- W2994583183 hasConcept C154945302 @default.
- W2994583183 hasConcept C173018170 @default.
- W2994583183 hasConcept C33923547 @default.
- W2994583183 hasConcept C41008148 @default.
- W2994583183 hasConcept C44154836 @default.
- W2994583183 hasConcept C53016008 @default.
- W2994583183 hasConcept C546215728 @default.
- W2994583183 hasConcept C555944384 @default.
- W2994583183 hasConcept C71901391 @default.
- W2994583183 hasConcept C79403827 @default.
- W2994583183 hasConcept C84525736 @default.
- W2994583183 hasConcept C9390403 @default.
- W2994583183 hasConceptScore W2994583183C111919701 @default.
- W2994583183 hasConceptScore W2994583183C113174947 @default.
- W2994583183 hasConceptScore W2994583183C134306372 @default.
- W2994583183 hasConceptScore W2994583183C149635348 @default.
- W2994583183 hasConceptScore W2994583183C150594956 @default.
- W2994583183 hasConceptScore W2994583183C154945302 @default.
- W2994583183 hasConceptScore W2994583183C173018170 @default.
- W2994583183 hasConceptScore W2994583183C33923547 @default.
- W2994583183 hasConceptScore W2994583183C41008148 @default.
- W2994583183 hasConceptScore W2994583183C44154836 @default.
- W2994583183 hasConceptScore W2994583183C53016008 @default.
- W2994583183 hasConceptScore W2994583183C546215728 @default.
- W2994583183 hasConceptScore W2994583183C555944384 @default.
- W2994583183 hasConceptScore W2994583183C71901391 @default.
- W2994583183 hasConceptScore W2994583183C79403827 @default.
- W2994583183 hasConceptScore W2994583183C84525736 @default.
- W2994583183 hasConceptScore W2994583183C9390403 @default.
- W2994583183 hasLocation W29945831831 @default.
- W2994583183 hasOpenAccess W2994583183 @default.
- W2994583183 hasPrimaryLocation W29945831831 @default.
- W2994583183 hasRelatedWork W1987003324 @default.
- W2994583183 hasRelatedWork W1999121343 @default.
- W2994583183 hasRelatedWork W2352459743 @default.
- W2994583183 hasRelatedWork W2352707819 @default.
- W2994583183 hasRelatedWork W2364226136 @default.
- W2994583183 hasRelatedWork W2763193776 @default.
- W2994583183 hasRelatedWork W2771338876 @default.
- W2994583183 hasRelatedWork W2802366701 @default.
- W2994583183 hasRelatedWork W2979832089 @default.
- W2994583183 hasRelatedWork W4295036724 @default.
- W2994583183 isParatext "false" @default.
- W2994583183 isRetracted "false" @default.
- W2994583183 magId "2994583183" @default.
- W2994583183 workType "article" @default.