標(biāo)題: Titlebook: Body Area Networks. Smart IoT and Big Data for Intelligent Health Management; 16th EAI Internation Masood Ur Rehman,Ahmed Zoha Conference p [打印本頁] 作者: Grievous 時間: 2025-3-21 18:18
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書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health Management影響因子(影響力)學(xué)科排名
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書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health Management網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health Management被引頻次
書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health Management被引頻次學(xué)科排名
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書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health Management讀者反饋
書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health Management讀者反饋學(xué)科排名
作者: Abduct 時間: 2025-3-21 23:27 作者: myriad 時間: 2025-3-22 01:35
Monitoring Discrete Activities of Daily Living of Young and Older Adults Using 5.8?GHz Frequency Mod is to monitor activities of daily living using the publicly available dataset recorded in nine different geometrical locations for ninety-nine volunteers including young and older adults (65+) using 5.8?GHz Frequency Modulated Continuous Wave (FMCW) radar. In this work, we experimented with discret作者: 項目 時間: 2025-3-22 07:13 作者: Increment 時間: 2025-3-22 12:41
Wireless Sensing for Human Activity Recognition Using USRPincluding intrusion detection, healthcare and so on. Radio Frequency (RF) signal when propagating through the wireless medium encounters reflection and this information is stored when signals reach the receiver side as Channel State information (CSI). This paper develops an intelligent wireless sens作者: outset 時間: 2025-3-22 14:11 作者: 極微小 時間: 2025-3-22 18:51 作者: Nerve-Block 時間: 2025-3-22 23:16
Detecting Alzheimer’s Disease Using Machine Learning Methods dementia with Alzheimer’s disease is expected to increase rapidly in the next few years. Currently, healthcare systems require an accurate detection of the disease for its treatment and prevention. Therefore, it has become essential to develop a framework for early detection of Alzheimer’s disease 作者: Mortal 時間: 2025-3-23 02:24
FPGA-Based Realtime Detection of Freezing of Gait of Parkinson Patientso compare our results with state of the art solutions we used the well-known open dataset Daphnet. Our most important findings are even though we used a tool to map the trained model to the FPGA we can detect FoG in less than a millisecond which will give us sufficient time to trigger cueing and by 作者: Gleason-score 時間: 2025-3-23 08:44
Received WiFi Signal Strength Monitoring for Contactless Body Temperature Classificationeading. This work explores an alternative way of classifying temperature using the ubiquitous WiFi waveform. By merely observing the change in the received signal strength indicator (RSSI), body temperature can be classified as below normal, normal, or warm. Using a smartphone as the receiver and a 作者: 小平面 時間: 2025-3-23 11:32
A Preliminary Study of RF Propagation for High Data Rate Brain Telemetryc and Medical (ISM) and ultrawideband UWB frequencies. These frequency bands are considered as possible candidates for high data rate wireless brain telemetry. The study is conducted using a high-resolution 3D computational model of the human head. Power flow analysis is conducted to visualize propa作者: ingestion 時間: 2025-3-23 15:26 作者: SOBER 時間: 2025-3-23 21:48 作者: 表示向下 時間: 2025-3-24 00:30 作者: condone 時間: 2025-3-24 03:45 作者: 雪白 時間: 2025-3-24 07:34 作者: 愛得痛了 時間: 2025-3-24 11:06 作者: SLING 時間: 2025-3-24 15:57
Betrachtung der wesentlichen Befundeet for making predictions on unknown data. Random forest was able to provide the best results with an accuracy result to 96.70% and used for the model. A wearable device dataset was used as a benchmark to provide a comparison in performance of the USRP dataset.作者: CHIP 時間: 2025-3-24 20:02 作者: 混合物 時間: 2025-3-25 00:32
Ansatz zur Analyse sozialer Entwicklungenults state that bidirectional long short-term memory (BiLSTM) outperforms the ML methods with a detection accuracy of 91.28%. Furthermore, the comparison with the state-of-the-art indicates the superiority of the our framework over the other proposed approaches in the literature.作者: Supplement 時間: 2025-3-25 04:19
https://doi.org/10.1007/978-3-662-58514-6ers the whole volume of the brain. The coverage reduces at higher frequencies, specially above 3.1?GHz. The objective of this comparative analysis is to provide some insight on the applicability of these frequencies for high data rate brain telemetry or various monitoring, and diagnostic tools.作者: CLASP 時間: 2025-3-25 09:29 作者: 進(jìn)入 時間: 2025-3-25 11:47 作者: 合同 時間: 2025-3-25 15:58
Wireless Sensing for Human Activity Recognition Using USRPet for making predictions on unknown data. Random forest was able to provide the best results with an accuracy result to 96.70% and used for the model. A wearable device dataset was used as a benchmark to provide a comparison in performance of the USRP dataset.作者: Acetaminophen 時間: 2025-3-25 21:45 作者: outset 時間: 2025-3-26 03:28 作者: Graves’-disease 時間: 2025-3-26 05:09 作者: Pulmonary-Veins 時間: 2025-3-26 11:17 作者: sorbitol 時間: 2025-3-26 13:03
Home-Based Pulmonary Rehabilitation of COPD Individuals Using the Wearable Respeck Monitorrcises for onward transmission to the server for storage and analysis. This paper describes the design of an end-to-end system for guided self-management. A method is described for relating the Respeck respiratory data to the self-administered COPD Assessment Test (CAT) score reflecting the individual’s self-assessment of their condition.作者: 權(quán)宜之計 時間: 2025-3-26 19:22
Ansatz zur Analyse sozialer Entwicklungenlated . feature matrix to represent corresponding activities. There are explores data fusion method between multiple devices and ensures accuracy without dropping. The technique can be extended to other types of hardware signal for data fusion.作者: URN 時間: 2025-3-26 21:29 作者: crumble 時間: 2025-3-27 02:49 作者: 混合 時間: 2025-3-27 05:47 作者: 甜瓜 時間: 2025-3-27 09:41 作者: 急急忙忙 時間: 2025-3-27 15:57
Betrachtung der wesentlichen Befunde a tool to map the trained model to the FPGA we can detect FoG in less than a millisecond which will give us sufficient time to trigger cueing and by that prevent the patient from falling. In addition, the average sensitivity achieved by our implementation is comparable to solutions running on high end devices.作者: Nebulizer 時間: 2025-3-27 18:52
FPGA-Based Realtime Detection of Freezing of Gait of Parkinson Patients a tool to map the trained model to the FPGA we can detect FoG in less than a millisecond which will give us sufficient time to trigger cueing and by that prevent the patient from falling. In addition, the average sensitivity achieved by our implementation is comparable to solutions running on high end devices.作者: 貪婪的人 時間: 2025-3-28 01:22
Conference proceedings 2022s (WBAN) are one major element in this process. Not only on-body devices but also technologies providing information from inside a body are in the focus of this conference. Dependable communications combined with accurate localization and behavior analysis will benefit WBAN technology and make the healthcare processes more effective..作者: Fluctuate 時間: 2025-3-28 03:22 作者: Anticonvulsants 時間: 2025-3-28 07:57 作者: cumulative 時間: 2025-3-28 10:43 作者: engrossed 時間: 2025-3-28 15:16
Betrachtung der wesentlichen BefundeNetwork (ResNet). Moreover, the confusion matrix, model loss, and classification accuracy are used as performance evaluation metrics for the trained ResNet model. The unique skip connection technique of ResNet minimises the overfitting and underfitting issue, consequently resulting accuracy rate up?作者: frugal 時間: 2025-3-28 22:04
Meritokratie als Legitimationsprinzipral network (CNN) based on LeNet-5 was designed for feature extraction and classification. In addition, the idea of transfer learning was applied for radar-based HAR to evaluate the classification performance of a pre-trained network. For this, GoogLeNet was taken and trained on the newly-produced h作者: 健壯 時間: 2025-3-29 01:06 作者: Extemporize 時間: 2025-3-29 03:40
https://doi.org/10.1007/978-3-662-58514-6thysmogram (PPG), and Body Temperature to monitor an individual’s health condition. In both publicly available datasets as well as our lab-based study with 10 participants, the proposed cepstral-based fusion module attains around 7 to . improvement over the baseline of time-domain analysis and the p作者: MOCK 時間: 2025-3-29 10:39
https://doi.org/10.1007/978-3-662-58514-6ce. Overall, the calculated RR has high average accuracy, and the performance of the visualiser is precise and consistent. This solution also has the potential to monitor respirations for multiple subjects or in a through-wall situation.作者: chassis 時間: 2025-3-29 12:30 作者: 擁擠前 時間: 2025-3-29 18:06
Indoor Activity Position and Direction Detection Using Software Defined Radiosost .. Moreover, it was capable of detecting whether the room is occupied, with an accuracy of ., and identify the walking directions of a human subject in three different positions within the room, with an accuracy of ..作者: Finasteride 時間: 2025-3-29 20:47 作者: 引起痛苦 時間: 2025-3-30 01:15 作者: LAPSE 時間: 2025-3-30 05:00
Bespoke Simulator for Human Activity Classification with Bistatic Radarshow that the monostatic radar system has the highest accuracy, up to 98.17%. So, a bistatic radar model with separate transmitter and receiver was established in the experiment, and results show that bistatic radar with specific geometry configuration (CB2.5) not only has higher classification accu作者: 松果 時間: 2025-3-30 10:28
Anomalous Pattern Recognition in Vital Health Signals via Multimodal Fusionthysmogram (PPG), and Body Temperature to monitor an individual’s health condition. In both publicly available datasets as well as our lab-based study with 10 participants, the proposed cepstral-based fusion module attains around 7 to . improvement over the baseline of time-domain analysis and the p作者: crutch 時間: 2025-3-30 15:07
Real-Time Visual Respiration Tracking with?Radar Sensorsce. Overall, the calculated RR has high average accuracy, and the performance of the visualiser is precise and consistent. This solution also has the potential to monitor respirations for multiple subjects or in a through-wall situation.作者: NAV 時間: 2025-3-30 17:03 作者: DRAFT 時間: 2025-3-30 23:31 作者: 無所不知 時間: 2025-3-31 04:10 作者: 狂怒 時間: 2025-3-31 06:56
Meritokratie als Legitimationsprinzipral studies were capable of detecting activities in an indoor setting. This paper presents promising results of an experiment conducted to identify the activity performed by a subject and where it took place within the activity region. The system utilises two Universal Software Radio Peripheral (USR作者: etiquette 時間: 2025-3-31 10:41 作者: duplicate 時間: 2025-3-31 13:52 作者: 直覺好 時間: 2025-3-31 19:06
Betrachtung der wesentlichen Befundeincluding intrusion detection, healthcare and so on. Radio Frequency (RF) signal when propagating through the wireless medium encounters reflection and this information is stored when signals reach the receiver side as Channel State information (CSI). This paper develops an intelligent wireless sens作者: 小平面 時間: 2025-4-1 00:54 作者: minion 時間: 2025-4-1 05:01
