Considerations for integration of a physiological radar monitoring system with gold standard clinical sleep monitoring systems

Singh, Aditya; Baboli, Mehran; Gao, Xiaomeng; Yavari, Ehsan; Padasdao, Bryson; Soll, Bruce; Borić–Lubecke, Olga; Lubecke, Victor M.

doi:10.1109/embc.2013.6609952

Cited by 11 publications

(9 citation statements)

References 6 publications

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“…The current achievements are summarized in Table 2. 2013-2015 [14,15,[38][39][40] Heart rate variability Error between 3-11% for single antenna, and 1-6% for dual antenna.…”

Section: Challenges and Future Research Directionsmentioning

confidence: 99%

Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review

Tran

Al-Jumaily

Islam

2019

BDCC

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Today’s rapid growth of elderly populations and aging problems coupled with the prevalence of obstructive sleep apnea (OSA) and other health related issues have affected many aspects of society. This has led to high demands for a more robust healthcare monitoring, diagnosing and treatments facilities. In particular to Sleep Medicine, sleep has a key role to play in both physical and mental health. The quality and duration of sleep have a direct and significant impact on people’s learning, memory, metabolism, weight, safety, mood, cardio-vascular health, diseases, and immune system function. The gold-standard for OSA diagnosis is the overnight sleep monitoring system using polysomnography (PSG). However, despite the quality and reliability of the PSG system, it is not well suited for long-term continuous usage due to limited mobility as well as causing possible irritation, distress, and discomfort to patients during the monitoring process. These limitations have led to stronger demands for non-contact sleep monitoring systems. The aim of this paper is to provide a comprehensive review of the current state of non-contact Doppler radar sleep monitoring technology and provide an outline of current challenges and make recommendations on future research directions to practically realize and commercialize the technology for everyday usage.

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“…The current achievements are summarized in Table 2. 2013-2015 [14,15,[38][39][40] Heart rate variability Error between 3-11% for single antenna, and 1-6% for dual antenna.…”

Section: Challenges and Future Research Directionsmentioning

confidence: 99%

Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review

Tran

Al-Jumaily

Islam

2019

BDCC

View full text Add to dashboard Cite

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“…The IQ signals were analyzed using a simple linear demodulation technique. The measurement has a high sensitivity to the orientation of the body in practical subject measurements [42].…”

Section: Flexibility and Performance Evaluationmentioning

confidence: 99%

“…Figure 4(b) shows the same signals with dc removed for a better comparison and latency estimation. The latency between input and output was calculated to be 130 ms [42].…”

Section: Flexibility and Performance Evaluationmentioning

confidence: 99%

Good Night: Sleep Monitoring Using a Physiological Radar Monitoring System Integrated with a Polysomnography System

et al. 2015

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T his article presents results from the integration of a noncontact physiological radar monitoring system (PRMS) with a type I polysomnography (PSG) system to perform sleep monitoring. The PRMS system consists of two continuous-wave Doppler radars operating at the industrial, scientific, and medical (ISM) band of 2.45 GHz. The system can acquire data, perform digital processing, and output appropriate conventional analog outputs with a latency of approximately 130 ms, which can be recorded and displayed by a gold standard sleep monitoring sys-tem along with other standard sensor measurements. Radar data was also used to successfully detect paradoxical motion that was simulated using linear movers and to categorize normal breathing, apnea, and hypopnea in sleeping subjects with obstructive sleep apnea (OSA). OSA Using PSGWith about 15 million Americans suffering from OSA [1], it is one of the most common health disorders. Studies show a relationship between sleep apnea and cardiovascular diseases. Many patients with heart

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“…Moreover, Doppler radar has also been implemented to monitor the health and behavior of terrestrial and aquatic animals [28][29][30]. Sleep monitoring is another emerging application where radar alleviates the measurement interference introduced by the conventional use of obtrusive devices such torso straps and or spirometers [31]. A clinical study was performed to comparatively monitor patients suffering from sleep apnea using a radar sensor in conjunction with traditional intrusive sleep monitoring equipment, where the radar was found to provide stand-alone detection of most apnea events, as well as complementary detail to facilitate conventional diagnostics [31].…”

Section: Introductionmentioning

confidence: 99%

Radar-Based Non-Contact Continuous Identity Authentication

et al. 2020

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Non-contact vital signs monitoring using microwave Doppler radar has shown great promise in healthcare applications. Recently, this unobtrusive form of physiological sensing has also been gaining attention for its potential for continuous identity authentication, which can reduce the vulnerability of traditional one-pass validation authentication systems. Physiological Doppler radar is an attractive approach for continuous identity authentication as it requires neither contact nor line-of-sight and does not give rise to privacy concerns associated with video imaging. This paper presents a review of recent advances in radar-based identity authentication systems. It includes an evaluation of the applicability of different research efforts in authentication using respiratory patterns and heart-based dynamics. It also identifies aspects of future research required to address remaining challenges in applying unobtrusive respiration-based or heart-based identity authentication to practical systems. With the advancement of machine learning and artificial intelligence, radar-based continuous authentication can grow to serve a wide range of valuable functions in society.

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Considerations for integration of a physiological radar monitoring system with gold standard clinical sleep monitoring systems

Cited by 11 publications

References 6 publications

Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review

Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review

Good Night: Sleep Monitoring Using a Physiological Radar Monitoring System Integrated with a Polysomnography System

Radar-Based Non-Contact Continuous Identity Authentication

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