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相关论文: UbiBreathe: A Ubiquitous non-Invasive WiFi-based B…

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Good quality sleep is essential for good health and sleep monitoring becomes a vital research topic. This paper provides a low cost, continuous and contactless WiFi-based vital signs (breathing and heart rate) monitoring method. In…

人机交互 · 计算机科学 2019-08-15 Yu Gu , Xiang Zhang , Zhi Liu , Fuji Ren

Ubiquitous on-device heart rate sensing is vital for high-stress individuals and chronic patients. Non-contact sensing, compared to contact-based tools, allows for natural user monitoring, potentially enabling more accurate and holistic…

信号处理 · 电气工程与系统科学 2024-10-28 Haoyu Bian , Bin Guo , Sicong Liu , Yasan Ding , Shanshan Gao , Zhiwen Yu

This paper explores using RSS measurements on many links in a wireless network to estimate the breathing rate of a person, and the location where the breathing is occurring, in a home, while the person is sitting, laying down, standing, or…

人机交互 · 计算机科学 2023-07-19 Neal Patwari , Lara Brewer , Quinn Tate , Ossi Kaltiokallio , Maurizio Bocca

Deviations in respiratory rate often precede abnormalities in other vital signs. However, continuously monitoring respiratory rates outside clinical settings remains challenging due to the obtrusive nature and sensitivity to body motions in…

信号处理 · 电气工程与系统科学 2024-11-15 Sebastian Reidy , Manuel Meier , Christian Holz

Radio signals are sensitive to changes in the environment, which for example is reflected on the received signal strength (RSS) measurements of low-cost wireless devices. This information has been used effectively in the past years e.g. in…

网络与互联网体系结构 · 计算机科学 2013-07-09 Ossi Kaltiokallio , Hüseyin Yigitler , Riku Jäntti , Neal Patwari

This paper shows experimentally that standard wireless networks which measure received signal strength (RSS) can be used to reliably detect human breathing and estimate the breathing rate, an application we call "BreathTaking". We show that…

网络与互联网体系结构 · 计算机科学 2011-09-20 Neal Patwari , Joey Wilson , Sai Ananthanarayanan P. R. , Sneha K. Kasera , Dwayne Westenskow

Recent research has highlighted the detection of human respiration rate using commodity WiFi devices. Nevertheless, these devices encounter challenges in accurately discerning human respiration amidst the prevailing human motion…

信号处理 · 电气工程与系统科学 2024-01-08 Kehan Wu , Renqi Chen , Haiyu Wang , Chenqing Ji , Jiayuan Zhu , Guang Wu

Human respiratory rate and its pattern convey essential information about the physical and psychological states of the subject. Abnormal breathing can indicate fatal health issues leading to further diagnosis and treatment. Wireless…

信号处理 · 电气工程与系统科学 2024-04-17 Md Zobaer Islam , Brenden Martin , Carly Gotcher , Tyler Martinez , John F. O'Hara , Sabit Ekin

Respiratory diseases account for a significant portion of global mortality. Affordable and early detection is an effective way of addressing these ailments. To this end, a low-cost commercial off-the-shelf (COTS), IEEE 802.15.4z standard…

信号处理 · 电气工程与系统科学 2025-10-22 Anton Lambrecht , Stijn Luchie , Jaron Fontaine , Ben Van Herbruggen , Adnan Shahid , Eli De Poorter

Non-intrusive monitoring of vital signs has become increasingly important in a variety of healthcare settings. In this paper, we present PulseFi, a novel low-cost non-intrusive system that uses Wi-Fi sensing and artificial intelligence to…

信号处理 · 电气工程与系统科学 2026-03-17 Pranay Kocheta , Nayan Sanjay Bhatia , Katia Obraczka

In recent years, WiFi sensing has been recognized as a promising technology to bring respiratory monitoring into everyday homes, thanks to its contactless nature and ubiquitous availability. However, existing WiFi-based respiratory…

信号处理 · 电气工程与系统科学 2026-04-23 Hefei Wang , Jianwei Liu , Yinghui He , Guanding Yu , Jinsong Han

As elderly population grows, social and health care begin to face validation challenges, in-home monitoring is becoming a focus for professionals in the field. Governments urgently need to improve the quality of healthcare services at lower…

信号处理 · 电气工程与系统科学 2020-09-22 Lingchao Guo , Zhaoming Lu , Shuang Zhou , Xiangming Wen , Zhihong He

This paper presents a method that estimates the respiratory rate based on the frame capturing of wireless local area networks. The method uses beamforming feedback matrices (BFMs) contained in the captured frames, which is a rotation matrix…

信号处理 · 电气工程与系统科学 2022-03-04 T. Kanda , T. Sato , H. Awano , S. Kondo , K. Yamamoto

This paper addresses the performance of systems which use commercial wireless devices to make bistatic RF channel measurements for non-contact respiration sensing. Published research has typically presented results from short controlled…

Respiration waveforms are increasingly recognized as important biomarkers, offering insights beyond simple respiration rates, such as detecting breathing irregularities for disease diagnosis or monitoring breath patterns to guide…

信号处理 · 电气工程与系统科学 2025-03-17 Ziqi Wang , Derek Hua , Wenjun Jiang , Tianwei Xing , Xun Chen , Mani Srivastava

Monitoring respiratory health with the use of channel state information (CSI) has shown promising results. Many existing methods focus on monitoring only the respiratory rate, while others focus on monitoring the motion of the chest as a…

新兴技术 · 计算机科学 2025-08-01 James Rhodes , Lawrence Ong , Duy T. Ngo

In the last few decades, several wearable devices have been designed to monitor respiration rate in an effort to capture pulmonary signals with higher accuracy and reduce patients' discomfort during use. In this article, we present the…

信号处理 · 电气工程与系统科学 2024-12-10 Bardia Baraeinejad , Maryam Forouzesh , Saba Babaei , Yasin Naghshbandi , Yasaman Torabi , Shabnam Fazliani

This paper reports on the development of a wearable system using wireless biomedical sensors for ubiquitous healthcare service provisioning. The prototype system is developed to address current healthcare challenges such as increasing cost…

其他计算机科学 · 计算机科学 2014-04-02 O. O. Ogunduyile , O. O. Olugbara , M. Lall

The past few years have witnessed the great potential of exploiting channel state information retrieved from commodity WiFi devices for respiration monitoring. However, existing approaches only work when the target is close to the WiFi…

信号处理 · 电气工程与系统科学 2019-08-13 Youwei Zeng , Dan Wu , Jie Xiong , Enze Yi , Ruiyang Gao , Daqing Zhang

In this paper, we explore the use of channel state information (CSI) from a WiFi system to estimate the breathing rate of a person in a room. In order to extract WiFi CSI components that are sensitive to breathing, we propose to consider…

信号处理 · 电气工程与系统科学 2025-02-19 Sitian Li , Andreas Toftegaard Kristensen , Andreas Burg , Alexios Balatsoukas-Stimming
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