標題: Titlebook: Enabling Person-Centric Healthcare Using Ambient Assistive Technology; Personalized and Pat Paolo Barsocchi,Naga Srinivasu Parvathaneni,Fil [打印本頁] 作者: 年邁 時間: 2025-3-21 17:18
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作者: Allowance 時間: 2025-3-21 23:54
Studies in Computational Intelligencehttp://image.papertrans.cn/e/image/309154.jpg作者: 金桌活畫面 時間: 2025-3-22 03:19 作者: figment 時間: 2025-3-22 04:36
Practical Linux with Raspberry Pi OSaddress this chronic health concern, various treatments such as dietary changes, physical exercise, weight-loss training, and the adoption of health programs promoting a balanced diet are recommended. In order to support obese patients in maintaining a healthy lifestyle, a mobile application called 作者: 冬眠 時間: 2025-3-22 11:47
Equipment for Column Chromatography, and environments focused on the well-being of society. Consequently, artificial intelligence (AI), the internet of things and extended reality (XR), among other technologies, have the potential to improve people’s quality of life, achieving innovative developments that accompany the daily lives of 作者: Carminative 時間: 2025-3-22 14:26
The Technique of Thin-Layer Chromatography,copenia is the age-related loss of skeletal muscle mass, strength, and function. It may result in physical impairment, accidents, and a poor quality of life. About 10–20% of individuals over 60 have sarcopenia, and the frequency rises with age. Sarcopenia can substantially negatively influence muscl作者: Carminative 時間: 2025-3-22 19:36
Peter Membrey,David Hows,Eelco Plugge and the divergence of inherent features on the way to an aged population results in incorporating unfamiliar provocations to the current habitants from each of two a remunerative and communal perspective. Ambient Assistive Living technology can be able to proffer a bunch of clarifications for refin作者: 楓樹 時間: 2025-3-22 21:17
Thinking With Pre-Assigned Tasks learning techniques have been used for heart failure detection in the past few years. This study suggests a novel approach for heart failure detection using a Radial Basis Function (RBF) neural network with Genetic Algorithm (GA) optimization. The suggested approach is applied to the publicly avail作者: Explicate 時間: 2025-3-23 03:30
https://doi.org/10.1007/978-1-4615-6065-4tems with ambient assistive technologies (AAT). This chapter focuses on Healthcare management tools and techniques with a major focus on technological innovations and disruptions; services and tools; Recommendation systems in health care; The proposed Autonomous Intelligent Advisory System termed as作者: Dri727 時間: 2025-3-23 06:02 作者: 填料 時間: 2025-3-23 13:36
Michael Paluszek,Stephanie Thomasd hardware. Numerous ground-breaking studies have been conducted in this area over the last few decades. However, the BCI domain has yet to be the subject of a thorough examination. As a result, this study provides an in-depth analysis of the BCI issue. In addition, this research supports this field作者: 星球的光亮度 時間: 2025-3-23 15:13 作者: chandel 時間: 2025-3-23 18:49
Comparative Analysis of ODE Solution Methods that are responsive to human requirements, routines, activities, and emotions. With the use of perceptive communications that are intrusive, covert, and proactive, future society will be able to communicate with humans and machines in novel ways. Such AmI technology is a result of cutting-edge inte作者: Allure 時間: 2025-3-24 00:29
Yu Geng,Qin Li,Geng Yang,Wan Qiudevelopments in machine learning and contactable sensors. In this paper, we will discuss about how AmI technology might assist people with various physical, mental or chronic illnesses. We examine how this technology could enhance our comprehension of the hidden areas of healthcare. Early implementa作者: Cabg318 時間: 2025-3-24 04:54 作者: 慌張 時間: 2025-3-24 10:21
An Introduction to Streaming Data,tform is a component of the Internet of Medical Things (IoMT) by allowing numerous medical sensors to interact with a server either directly or indirectly via various connection techniques such as GSM, Bluetooth, or Wi-Fi technologies. In this paper we have discussed the Telemedical Ecosystem. The s作者: 動機 時間: 2025-3-24 10:42 作者: Alopecia-Areata 時間: 2025-3-24 17:59 作者: GRIEF 時間: 2025-3-24 21:04 作者: Mindfulness 時間: 2025-3-25 01:36
Yu Geng,Qin Li,Geng Yang,Wan Qiuproblems and potential solutions associated with acquiring knowledge from a huge cluster of data and detecting unexpected events in clinical settings. By carefully utilizing this technology, we would be able to comprehend the intricate interactions between the crucial human behaviours and physical environment.作者: excursion 時間: 2025-3-25 07:23 作者: NICHE 時間: 2025-3-25 10:10
https://doi.org/10.1007/978-1-4842-1772-6ed in the health care domain: air quality sensors and cameras. For each type of sensor, we describe the health care application areas, the technology used to implement them, the existing datasets, and the data collection process and issues. Moreover, we analyze a real-life health care application for both air quality sensors and cameras.作者: 出處 時間: 2025-3-25 15:05
Michael Paluszek,Stephanie Thomasextraction techniques, evaluation measurement matrices, current BCI algorithms, and classifiers. A basic overview of BCI sensors is also presented. Next, the study describes some unsolved BCI issues and possible remedies.作者: Phonophobia 時間: 2025-3-25 17:06
Sensor Datasets for Human Daily Safety and Well-Being,ed in the health care domain: air quality sensors and cameras. For each type of sensor, we describe the health care application areas, the technology used to implement them, the existing datasets, and the data collection process and issues. Moreover, we analyze a real-life health care application for both air quality sensors and cameras.作者: apiary 時間: 2025-3-25 21:51
A Review of Brain-Computer Interface (BCI) System: Advancement and Applications,extraction techniques, evaluation measurement matrices, current BCI algorithms, and classifiers. A basic overview of BCI sensors is also presented. Next, the study describes some unsolved BCI issues and possible remedies.作者: EWE 時間: 2025-3-26 02:49 作者: Veneer 時間: 2025-3-26 06:30
Data Visualization and Animation,N) approach for arrhythmia identification using ECG data, including proper parameter optimization and model training. The results of applying the proposed model to the MIT-BIH arrhythmia database demonstrates that the model performs better, having an accuracy of 98.7% and a MSE of 0.06 when compared to other classification methods.作者: 遵循的規(guī)范 時間: 2025-3-26 12:11
An Introduction to Streaming Data,ystem collects data from various sensors and delivers it through An Arduino Board is utilized in conjunction with one of the aforementioned technologies, and the interface is built using Matlab and C#. As an extra benefit, a comparison of the three communication techniques used to connect the medical sensors to the server is being investigated.作者: colony 時間: 2025-3-26 14:20
1860-949X e services.Presents real-time case studies assisting the res.This book experiences the future of patient-centered healthcare and dives into the latest advancements and transformative technologies that are revolutionizing the well-being of individuals around the globe. The readers can join authors on作者: 創(chuàng)造性 時間: 2025-3-26 20:09
ResNet-50-CNN and LSTM Based Arrhythmia Detection Model Based on ECG Dataset,N) approach for arrhythmia identification using ECG data, including proper parameter optimization and model training. The results of applying the proposed model to the MIT-BIH arrhythmia database demonstrates that the model performs better, having an accuracy of 98.7% and a MSE of 0.06 when compared to other classification methods.作者: 暗語 時間: 2025-3-26 21:16
Telemedicine Enabled Remote Digital Healthcare System,ystem collects data from various sensors and delivers it through An Arduino Board is utilized in conjunction with one of the aforementioned technologies, and the interface is built using Matlab and C#. As an extra benefit, a comparison of the three communication techniques used to connect the medical sensors to the server is being investigated.作者: 積習已深 時間: 2025-3-27 01:27 作者: Impugn 時間: 2025-3-27 06:35 作者: 少量 時間: 2025-3-27 09:45 作者: 儲備 時間: 2025-3-27 13:50
Habitpad: A Habit-Change Person-Centric Healthcare Mobile Application with Machine Leaning and Gamication, gamification features including challenges, point rewards, and leaderboards are incorporated. This study anticipates reducing the obesity rate by promoting positive behavior change and healthier habits among patients.作者: Digitalis 時間: 2025-3-27 18:44 作者: Delirium 時間: 2025-3-27 22:03 作者: Arresting 時間: 2025-3-28 02:44 作者: genesis 時間: 2025-3-28 06:15
Heart Failure Prediction Using Radial Basis with Metaheuristic Optimization,tperformed several existing methods, demonstrating the potential of the proposed approach for heart failure detection. The proposed method can provide a reliable, non-invasive, and cost-effective tool for the early detection of heart failure, which can help reduce the burden of this disease on indiv作者: gerontocracy 時間: 2025-3-28 10:34 作者: 蛙鳴聲 時間: 2025-3-28 15:51
,Optimized TSA ResNet Architecture with TSH—Discriminatory Features for Kidney Stone Classification issues, we have focussed on building an automated diagnosis of kidney diseases and classifying it according to their features illustrated in the QUS images. The anticipated methodology in this work merges the texture, statistical and histogram-based features (TSH) which are discriminative when compa作者: Motilin 時間: 2025-3-28 21:29 作者: Graves’-disease 時間: 2025-3-29 01:03
Depression Assessment in Youths Using an Enhanced Deep Learning Approach, depression a secret from everyone, if they even know they have it. Therefore, an automated system is needed to identify the pupils who are struggling with depression. Here, a system is suggested that uses frontal face photos of college students, this technique analyses each frame‘s facial traits to作者: 彩色的蠟筆 時間: 2025-3-29 06:59 作者: 終止 時間: 2025-3-29 08:18
Equipment for Column Chromatography,on support using highly complex images. Our main contribution is materialized in the flexibility and adaptability of our developments, in addition to the applications made in the areas of emotional and physical rehabilitation and in the context of the COVID-19 pandemic in radiology. Additionally, we作者: 陰險 時間: 2025-3-29 13:11 作者: 粗鄙的人 時間: 2025-3-29 17:13 作者: inspiration 時間: 2025-3-29 23:33 作者: ineffectual 時間: 2025-3-30 03:35
https://doi.org/10.1007/978-1-4615-6065-4sting apps. The information must be blended to generate overall actions to increase efficiency and effectiveness to satisfy the tasks and needs of the individuals with personalized recommendations for improving the QOL. To make the study’s contributions more evident, a sample user story is depicted 作者: daredevil 時間: 2025-3-30 05:13 作者: 巨頭 時間: 2025-3-30 09:26
Comparative Analysis of ODE Solution Methodsintelligence (AI) development approaches used to produce AmI systems in the healthcare area will be outlined. making use of a variety of learning strategies (to learn from user interaction), reasoning techniques (to reason about the aims and objectives of users), and planning approaches (for organis作者: custody 時間: 2025-3-30 15:31 作者: 可互換 時間: 2025-3-30 19:43
Sensor Datasets for Human Daily Safety and Well-Being,n the number of people with physical or mental impairments. This slice of the population needs daily assistance and monitoring to live a safe and productive life. For this reason, several researchers are focusing their work on health care technologies. A broad collection of sensors has been develope作者: Defraud 時間: 2025-3-31 00:10 作者: Communicate 時間: 2025-3-31 01:10 作者: Glycogen 時間: 2025-3-31 05:47 作者: 懶惰民族 時間: 2025-3-31 10:27 作者: 無辜 時間: 2025-3-31 16:59
Heart Failure Prediction Using Radial Basis with Metaheuristic Optimization, learning techniques have been used for heart failure detection in the past few years. This study suggests a novel approach for heart failure detection using a Radial Basis Function (RBF) neural network with Genetic Algorithm (GA) optimization. The suggested approach is applied to the publicly avail
