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An Overview of Internet of Things in Healthcare
Published in Monideepa Roy, Pushpendu Kar, Sujoy Datta, Interoperability in IoT for Smart Systems, 2020
Respiratory rate sensor: This sensor is capable of monitoring the various functions of lungs, such as respiratory rate, or the breath inhale or exhale per minute. These measured observations help the sensor to monitor any critical condition which can occur in the future. These conditions are asthma, apnea episode, lung cancer, tuberculosis, obstruction in the air passage, and panic attacks, or many more.
Drivers’ self-regulatory behaviors in active and responsive scenarios
Published in Traffic Injury Prevention, 2023
Yaping Zhang, Ronggang Zhou, Yuhan Shi
In this study, the indicator of respiratory rate was measured to reflect drivers’ physiological status changes during distracted driving. The respiratory rate is the number of breaths a person takes per minute and a normal adult breathes about 12-20 times per minute (Baike 2022). According to the descriptive statistics of the respiratory rate, the average respiratory rate in each secondary task stage (M = 25.51, SD = 6.70 for making a call, M = 26.48, SD = 5.16 for answering a call, M = 24.14, SD = 3.61 for sending a WeChat message, M = 23.93, SD = 4.05 for replying to a WeChat message) was higher than that in the normal driving stage (M = 23.66, SD = 4.14). According to the paired t-test, compared with the respiratory rate in the normal driving stage, only the increase in the answering a call stage was significant (t (33) = 2.45, p < 0.05).
Contactless Methods for Respiration Monitoring and Design of SIW-LWA for Real-Time Respiratory Rate Monitoring
Published in IETE Journal of Research, 2022
Manvinder Sharma, Harjinder Singh
For observing human body activity, cardiorespiratory activity is an important parameter. In the current era, due to stress, environmental conditions, changes in lifestyle and eating habits, the world is suffering from many diseases such as asthma, apenea, heart attacks and problems related to respiratory disease. A respiratory rate of 17–21 breaths/minute is normal for an adult. Patients suffering from these diseases are more prone to the failure of respiratory activity. Also, the failure cannot be predicted in advance, so in minutes, the condition may take the life of the patient. In India, in the age group of 25–69 years, about 25% of deaths occur due to cardiovascular disease. [1] Real-time and proper monitoring of respiratory activity are done for such patients. Automatic and real-time monitoring of vital signs/respiration is done through contact-based and contactless methods. Table 1 shows different approaches for respiration rate monitoring.
Respiratory Effort Signal Based Sleep Apnea Detection System Using Improved Random Forest Classifier
Published in IETE Journal of Research, 2021
Anju Prabha, Jyoti Yadav, Asha Rani, Vijander Singh
The Abd RES of selected subjects are analyzed manually and the 30 s segments of normal, OSA and CSA events are selected. The resting respiratory rate (RR) for healthy people is 10–20 breaths per minute (0.16–0.33 Hz). Preprocessing is performed to remove additional high frequency noise from the signal segments. A Butterworth low pass filter (LPF) with a cut off frequency of 0.5 Hz is used for this purpose. The amplitude response of Butterworth LPF is given as (1). where and are the frequency and the filter cutoff frequency, respectively and n is the filter order. The raw and filtered signal segments are shown in Figure 2.