Smart Monitoring of User’s Health at Home: Performance Evaluation and Signal Processing of a Wearable Sensor for the Measurement of Heart Rate and Breathing Rate

In many situations, health care professionals need to evaluate the respiration rate (RR) for home patients. Moreover, when cases are more than health care providers’ capacity, it is important to follow up cases at home. In this paper, we present a complete system that enables healthcare providers to follow up with patients with respiratory-related diseases at home. The aim is to evaluate the use of a mobile phone’s accelerometer to capture respiration waveform from different patients using mobile phones. Whereas measurements are performed by patients themselves from home, and not by professional health care personnel, the signals captured by mobile phones are subjected to many unknowns. Therefore, the validity of the signals has to be evaluated first and before any processing. Proper signal processing algorithms can be used to prepare the captured waveform for RR computations. A validity check is considered at different stages using statistical measures and pathophysiological limitations. In this paper, a mobile application is developed to capture the accelerometer signals and send the data to a server at the health care facility. The server has a database of each patient’s signals considering patient privacy and security of information. All the validations and signal processing are performed on the server side. The patient’s condition can be followed up over a few days and an alarm system may be implemented at the server-side in case of respiration deterioration or when there is a risk of a patient’s need for hospitalization. The risk is determined based on respiration signal features extracted from the received respiration signal including RR, and Autoregressive (AR) moving average (ARMA) model parameters of the signal. Results showed that the presented method can be used at a larger scale enabling health care providers to monitor a large number of patients.

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Changes in Blood Pressure, Heart Rate and Breathing Rate During Moderate Swimming Activity in Rainbow Trout

Journal of Experimental Biology ◽

10.1242/jeb.46.2.307 ◽

1967 ◽

Vol 46 (2) ◽

pp. 307-315 ◽

Cited By ~ 1

Author(s):

E. DON STEVENS ◽

D. J. RANDALL

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Rainbow Trout ◽

Venous Blood ◽

The Body ◽

Swimming Activity ◽

Breathing Rate ◽

Blood Pressures ◽

Ventral Aorta ◽

Pressure Changes

1. Changes in blood pressure in the dorsal aorta, ventral aorta and subintestinal vein, as well as changes in heart rate and breathing rate during moderate swimming activity in the rainbow trout are reported. 2. Blood pressures both afferent and efferent to the gills increased during swimming and then returned to normal levels within 30 min. after exercise. 3. Venous blood pressure was characterized by periodic increases during swimming. The pressure changes were not in phase with the body movements. 4. Although total venous return to the heart increased during swimming, a decreased blood flow was recorded in the subintestinal vein. 5. Heart rate and breathing rate increased during swimming and then decreased when swimming ceased. 6. Some possible mechanisms regulating heart and breathing rates are discussed.

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IoT Based Pulse Oximeter

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.37782 ◽

2021 ◽

Vol 9 (8) ◽

pp. 2946-2951

Author(s):

G Sidhartha

Keyword(s):

Heart Rate ◽

Signal Processing ◽

Oxygen Saturation ◽

Data Transmission ◽

Pulse Oximeter ◽

Mobile Application ◽

Preventive Measures ◽

Vital Signs ◽

Home Treatment ◽

Portable Devices

Abstract: In recent times, we have realized the importance of vital signs such as Oxygen saturation and heart rate i.e beats per minute (BPM) due to the covid-19 situation worldwide. SpO2 and BPM are being used as preliminary indicators for testing a person’s health, the drop in the oxygen saturation is perceived as one of the symptoms of a person suffering from coronavirus. Oximeters are portable devices that are used to measure the SpO2 and BPM of a person. Timely measurements of oxygen saturation can aid in taking preventive measures. This paper discusses the construction and development of an IoT-based pulse oximeter that is capable of transmitting the reading obtained to any remote location wirelessly. The proposed system uses Arduino as the microcontroller which is used for signal processing and Esp-01 as the Wifi platform to enable remote data transmission. The data is communicated remotely through Blynk mobile application. This project is aimed at reducing the manual effort undergone in regularly updating the oxygen saturation to the doctor, in the case of a person undergoing home treatment. Though an oximeter is not a screening te st, it is a primary indicator of a person’s health. Keywords: Heart rate, SpO2, IoT, Arduino, BLYNK server, Red, IR.

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