Resting heart rate estimation using PIR sensors

Kapu, Hemanth; Saraswat, Kavisha; Öztürk, Yusuf; Çetin, A. Enis

doi:10.1016/j.infrared.2017.05.010

Cited by 19 publications

(6 citation statements)

References 28 publications

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“…This method involves the use of a wide range of sensors, which will be discussed in the following section. Finally, an equally interesting application is the infrared thermal pattern analysis technology (IR technology) [24]. Table 3 provides information on the above technologies used in the publications included in this review.…”

Section: Srq-1: Which Technologies Can Be Used For the Contactless Me...mentioning

confidence: 99%

“…According to the data presented in Table 1, and using the types of sensors mentioned above, it is possible to extract physiological signal parameters such as the following: As can be seen, the pyroelectric infrared sensor was applicable among temperature sensors to determine physiological parameters that can be used to monitor the subject's chest movements and analyse the resting heart rate (RHR). In addition, changes in the infrared thermal spectrum can be detected to assess this parameter [24]. For thermography and remote plethysmography technologies, cameras are used as the hardware.…”

Section: Srq-2: Which Sensors Are Used For Those Technologies?mentioning

confidence: 99%

“…However, we noted the most common systems (i.e., standards) used in the publications included in this review, against which the comparisons were made. For example, systems such as electrocardiographs [25,72,73], patient monitors [26,49,73], pulse oximeters [33,56], Holter monitors [63], polysomnography (PSG) systems [23,29,31], PPG sensors [24,59], BioPAC systems [50,61] and the Hexoskin commercial system [71] were frequently used for cardiac reference signal extraction. Moreover, respiratory belts [54,55], spirometers [34], Plux systems [45], impedance pneumographs [28,40], capnography systems [41], and even manual counting [52] have been used to obtain respiratory signals.…”

Section: Monitoring During Sleep?mentioning

confidence: 99%

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Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review

Boiko

Madrid

Seepold

2023

Sensors

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Sleep is essential to physical and mental health. However, the traditional approach to sleep analysis—polysomnography (PSG)—is intrusive and expensive. Therefore, there is great interest in the development of non-contact, non-invasive, and non-intrusive sleep monitoring systems and technologies that can reliably and accurately measure cardiorespiratory parameters with minimal impact on the patient. This has led to the development of other relevant approaches, which are characterised, for example, by the fact that they allow greater freedom of movement and do not require direct contact with the body, i.e., they are non-contact. This systematic review discusses the relevant methods and technologies for non-contact monitoring of cardiorespiratory activity during sleep. Taking into account the current state of the art in non-intrusive technologies, we can identify the methods of non-intrusive monitoring of cardiac and respiratory activity, the technologies and types of sensors used, and the possible physiological parameters available for analysis. To do this, we conducted a literature review and summarised current research on the use of non-contact technologies for non-intrusive monitoring of cardiac and respiratory activity. The inclusion and exclusion criteria for the selection of publications were established prior to the start of the search. Publications were assessed using one main question and several specific questions. We obtained 3774 unique articles from four literature databases (Web of Science, IEEE Xplore, PubMed, and Scopus) and checked them for relevance, resulting in 54 articles that were analysed in a structured way using terminology. The result was 15 different types of sensors and devices (e.g., radar, temperature sensors, motion sensors, cameras) that can be installed in hospital wards and departments or in the environment. The ability to detect heart rate, respiratory rate, and sleep disorders such as apnoea was among the characteristics examined to investigate the overall effectiveness of the systems and technologies considered for cardiorespiratory monitoring. In addition, the advantages and disadvantages of the considered systems and technologies were identified by answering the identified research questions. The results obtained allow us to determine the current trends and the vector of development of medical technologies in sleep medicine for future researchers and research.

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Section: Srq-1: Which Technologies Can Be Used For the Contactless Me...mentioning

confidence: 99%

Section: Srq-2: Which Sensors Are Used For Those Technologies?mentioning

confidence: 99%

Section: Monitoring During Sleep?mentioning

confidence: 99%

See 1 more Smart Citation

Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review

Boiko

Madrid

Seepold

2023

Sensors

View full text Add to dashboard Cite

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“…Due to the mentioned drawbacks within the existing measurement processes and ever increasing number of possible medical, research and commercial fields of applications, researchers worldwide are exploring the possibilities of experimental non-contact measuring techniques. Several promising novel methods are emerging with encouraging results [ 21 , 22 , 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Design and Clinical Evaluation of a Non-Contact Heart Rate Variability Measuring Device

Kranjec

Beguš

Geršak

et al. 2017

Sensors

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The object of the proposed paper is to design and analyze the performance of a non-contact heart rate variability (HRV) measuring device based on ultrasound transducers. The rationale behind non-contact HRV measurement is the goal of obtaining a means of long term monitoring of a patient’s heart performance. Due to its complexity as a non-contact measuring device, influential physical quantities, error source and other perturbations were thoroughly investigated. For medical purposes it is of utmost importance to define the target uncertainty of a measuring method from the side of physicians, while it is the role of scientists to realistically evaluate all uncertainty contributions. Within this paper we present a novelty method of non-contact HRV measurement based on ultrasound transducers operating at two frequencies simultaneously. We report laboratory results and clinical evaluations are given for healthy subjects as well as patients with known heart conditions. Furthermore, laboratory tests were conducted on subjects during a relaxation period, and after 1 min physical activity

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“…Smart air disinfection machines, on the other hand, can automatically complete the disinfection process, improve disinfection efficiency, and reduce the risk of disease transmission. Therefore, it has a wide range of applications [3] . The goal of this paper is to design an intelligent air disinfection machine control system, aiming to effectively solve the problem of harmful microorganisms and viruses in indoor air pollution [4] , and achieve intelligent data processing.…”

mentioning

confidence: 99%

Design of an IoT Air Disinfection Machine Control System

Sun

XiaJie

et al. 2023

J. Phys.: Conf. Ser.

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In this paper, a control system for an IoT air disinfection machine is designed based on the ESP32 microcontroller. The system utilizes the ESP32 as the main control chip and adopts a control scheme based on IoT technology. Remote control and monitoring of the air disinfection machine are achieved through a cloud server. The sensor module detects parameters such as particles, carbon dioxide, temperature, and humidity in the air to realize real-time monitoring of air quality. The control module programs the opening and closing of actuators such as relays and motors to achieve the automatic control of the air disinfection machine. The communication module is connected to the cloud server to realize remote control and monitor of the air disinfection machine. The power management module monitors and controls parameters such as current and voltage to achieve energy consumption monitoring and control of the air disinfection machine. After testing, the system fully meets the design requirements.

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Resting heart rate estimation using PIR sensors

Cited by 19 publications

References 28 publications

Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review

Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review

Design and Clinical Evaluation of a Non-Contact Heart Rate Variability Measuring Device

Design of an IoT Air Disinfection Machine Control System

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