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This paper presents the design, implementation and test of a watch with the capability to measure multiple physiological signals, such as photoplethysmography (PPG), electrocardiography (ECG), and some physiological parameters extracted from PPG and ECG. Based on the PPG and ECG signals, the pulse rate and heart rate could be extracted respectively. Moreover, the pulse transmit time (PTT) could be...
We report a system-on-chip (SoC) realised in 130nm CMOS for implantable telemetry systems and mobile health applications featuring 6 neural stimulation channels and acquisition circuits for 9× electrode-based recordings (ExG), 4×/32× photo-plethysmography (PPG), bio-impedance, and temperature. The SoC includes a low-power quad-core processor (34μW/MHz) with sophisticated power and clock management...
Exercise makes the body fit, but most people do not know the intensity of the exercise they are doing right or otherwise can be dangerous, because not everyone knows the maximum heart rate (MHR), Heart Rate Resting (HRRest), heart rate reserve (HRR) and Target Heart Rate (THR) for each individual, it is proposed an ECG signal-based warning system to find out how much a person's maximum limit in exercise...
The automobile industry has undergone a revolution in the recent past by accelerated rise of new technologies, increasing automation and cars have higher-end microprocessors on wheels. The driver assistance and support system are increasing in commercial vehicles. But the existing system does not include the driver in the loop for decision making. Driver fatigue is a major problem on roads and is...
The Electrocardiogram is a tool used to access the electrical recording and muscular function of the heart and in last few decades it is extensively used in the investigation and diagnosis of heart related diseases. It must be noted that the heart rate fluctuates not only because of cardiac demand, however is also influenced as a result of the occurrence of arrhythmias, diabetes and other cardiac...
Wearable health monitoring systems use integrated sensors to monitor vital physiological parameters of the wearer. The paper discusses the preliminary results of a prototype wearable physiological monitoring system to monitor physiological parameters such as Electrocardiogram (ECG), Heart Rate (HR), Electroencephalogram (EEG) and Body Temperature. The ECG and EEG signals are acquired using a textile...
Most health measurement equipment at present can only obtain a single type of physiological data from users and are non-continuous static devices, resulting in the inability of users to continuously monitor their physiological conditions throughout the day. This paper presents the design and development of an integrated heart rate (HR), hydration level (HL) and blood glucose concentration (BGC) sensor...
Electroencephalogram (EEG) is a common tool to study the changes in brain activity during exercise. In this study, we used recorded Electrocardiography (ECG) to define an average-to-maximal heart rate ratio (AMHRR) as a gauge of relative exercise workload, and explored how the increase of AMHRR affected the brain activity. The EEG signals were recorded from forty-four healthy subjects on four scalp...
Few studies have investigated changes in brain activity during exercise. It is still unclear how exercise affects the brain cortical activity. The aim of this study is to investigate different physiological features during a sustained cycling exercise. We recorded Electrocardiography (ECG) and Electroencephalography (EEG) from participants before, during, and after exercise. We investigate the correlation...
The goal of this research was to design an RFID based wearable platform capable of continuous heart rate monitoring for infants. Two TechnikTex P180+B conductive fabric electrodes with interconnects were integrated onto a baby onesie and connected to an RFID heart rate detection circuit that used an on-off keying modulation scheme to transmit heart rate data. The quality of the output signals obtained...
Wearable Physiological Monitoring Systems (WPMS) integrates a number of sensors into fabric of the wearer for remotely monitoring the health status. The paper discusses a Wireless wearable remote physiological signal monitoring system to acquire and monitor physiological parameters like Electrocardiogram (ECG) acquired from a dry textile electrode, Photoplethysmogram (PPG), body temperature, Pulse...
Considerable progress has been made in the last decade in implantable bioelectronic neurosystems. Yet most neural implants are used in acute and tethered experimental conditions. Here, we present a preliminary prototype of a multichannel system for simultaneous peripheral nerve stimulation and neural recording. The system comprises miniaturized electronics with a total volume of less then 1.4cm3 including...
Video photoplethysmography (videoPPG) has emerged as area of great interest thanks to the possibility of remotely assessment of cardiovascular parameters, as heart rate (HR), respiration rate (RR) and heart rate variability (HRV). The present article proposes a fully automated method based on chrominance model, that selects for each subject the best region of interest (ROI) to detect and evaluate...
Portable electrocardiogram (ECG) capturing device can be interfaced to a smart phone installed with an android-based application (app). This app processes and analyses the data sent by the device to provide an interpretation of the patient/user's heart current condition (e.g.: beats per minute, heart signal waveform, R-R interval). The ECG recorded by the app is stored in the smart phone's Secure...
The wrist patch-type ECG/APW sensor system is proposed for continuous and comprehensive monitoring of the patient's cardiovascular system. The wrist patch-type ECG/APW sensor system is consists of ECG/APW sensor, ECG/APW electrodes, and base station for real-time monitoring of the patient's status. The ECG/APW sensor and electrodes are composed of wrist patch, bandage-type ECG electrode and fabric...
This paper describes a fabrication method of the silver nanowire (AgNW) patterns on PDMS substrate using a parylene stencil technique. The AgNW electrodes with the straight line and serpentine line traces were fabricated and characterized in terms of electromechanical properties. The sensitivity of the AgNW patterns was measured using a custom-designed stretch test module, resulting in gauge factors...
Tobacco use is the leading cause of preventable death and smoking-related illness worldwide. Research has shown that antismoking advertising may help reduce this habit. Nowadays, public service announcements (PSAs) are considered “Effective” or “Ineffective” on the base of official reports concerning behavioral/attitudinal changes toward healthier patterns and health-related savings following the...
Accurate estimation of heart rates from electrocardiogram (ECG) signals during intense physical activity is a very challenging problem. In this study we investigated a novel technique to accurately reconstruct motion-corrupted ECG signals and HR based on time-varying spectral analysis. The algorithm is called Spectral filter algorithm for electrocardiogram Motion Artifacts and heart rate reconstruction...
Electrocardiography plays a vital role in detection and diagnosis of the heart diseases. In this piece of work, we have developed a new thresholding technique based on the maximum and minimum values of ECG signal. The initial threshold is calculated from the RMS values of the transformed signal, whereas the threshold is made to decrease with an adaptively calculated step size. The simulation results...
Sudden Infant Death Syndrome (SIDS) is one of the major causes of death among infants during their sleep. To increase the safety of the infants, we matched different emergent research fields for the development of Baby Night Watch. This Smart Wearable System (SWS), developed under the context of the European Texas Instruments Innovation Challenge (TIIC) 2015, is composed by the following elements:...
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