Pulse Sensor Research Articles

Heart Disease Diagnosis and Diet Recommendation System Using Ayurvedic Dosha Analysis

The current healthcare system often fails to account for individual health needs, leading to ineffective preventive measures and dietary guidance. Ayurvedic principles, which focus on the Dosha, offer a profound understanding of an individual's constitution, influencing their health, vulnerability to specific diseases, and ideal dietary choices. This paper explores the evolving intersection of ancient Ayurvedic wisdom and modern technology in the realm of disease diagnosis. Ayurveda, with its emphasis on personalized well-being, has long been a source of holistic health practices. In this context, the study delves into the intricate system of Ayurvedic Dosha analysis and its potential applications in contemporary healthcare. The research introduces an innovative way that seamlessly integrates traditional Ayurvedic pulse examination with state-of-the-art technology. By employing pulse sensors and advanced algorithms, the system not only identifies specific ailments but also classifies patients into Ayurvedic Prakriti types. Going beyond conventional diagnosis, this holistic approach extends to personalized recommendations, encompassing diet, lifestyle, Ayurvedic treatments, exercise, and daily routines. While addressing the challenges of harmonizing ancient principles with modern technology, the paper also presents the performance metrics of the model. The accuracy rates are as follows: Logistic Regression (LR) - 85.94%, Random Forest - 89.21%, Decision Tree - 99.70%, and k-Nearest Neighbors (KNN) - 86.43%. These metrics underscore the robustness of the system. In addition to outlining core concepts, methodologies, and model accuracies, the study explores current trends and recent developments in the field, offering readers a comprehensive understanding of Ayurvedic Dosha-based disease diagnosis. The research contributes to the broader discourse on healthcare by paving the way for early detection and individualized, holistic well-being for patients.

Noninvasive Early Detection of Systemic Inflammatory Response Syndrome of COVID-19 Inpatients Using a Piezoelectric Respiratory Rates Sensor

In 2020, 20% of patients with COVID-19 developed severe complications, including life-threatening pneumonia with systemic inflammatory response syndrome (SIRS). We developed a preliminary SIRS monitor that does not require blood sampling, is noninvasive, and can collect data 24 h per day. The proposed monitor comprises a piezoelectric respiratory sensor located beneath the patient’s mattress and a fingertip pulse sensor that determines ultra-high accuracy respiratory rate (mode of a 40-min frequency distribution of respiratory rates (M40FD-RR)). We assessed the clinical performance of the M40FD-RR preliminary SIRS monitor in 29 patients (12 female, 17 male, aged 15–90 years) hospitalized at Suwa Central Hospital with COVID-19, which was confirmed by a positive polymerase chain reaction test. SIRS was evaluated by logistic regression analysis using M40FD-RR, heart rate, age, and sex as explanatory variables. We compared the results of 109 examinations of 29 COVID-19 inpatients with SIRS against those determined by the proposed monitor. The proposed monitor achieved 75% sensitivity and 83% negative predictive value, making it a promising candidate for future 24 h noninvasive preliminary SIRS tests.

A LiNbO3 Linear Intense Electromagnetic Pulse (EMP) Sensor by Using Incident Lightwave Near Optical Axis

A LiNbO₃ Linear Intense Electromagnetic Pulse (EMP) Sensor by Using Incident Lightwave Near Optical Axis

Ultralow-Power Circuit and Sensing Applications Based on Subthermionic Threshold Switching Transistors.

The most recent breakthrough in state-of-the-art electronics and optoelectronics involves the adoption of steep-slope field-effect transistors (FETs), promoting sub-60 mV/dec subthreshold swing (SS) at ambient temperature, effectively overcoming "Boltzmann limit" to minimize power consumption. Here, a series integration of nanoscale copper-based resistive-filamentary threshold switch (TS) with the IGZO channel-based FET is used to develop a TS-FET, in which the turn-on characteristics exhibit an abrupt transition over five decades, with an extremely low SS of 7 mV/dec, a high on/off ratio (>109), and ultralow leakage current (40-fold decrease), ensuring excellent repeatability and device yield. Unlike previous device-centric studies, this work highlights potential circuit applications (logic-inverter, pulse-sensor amplification, and photodetector) based on TS-FET. The sharp transition behavior of TS-FET enables the establishment of logic inverters with a high voltage gain of ≈800, with a circuit-level demonstration achieving a bias-independent record-high intrinsic gain (>1000). A wearable pulse sensor integrated with an amplifier circuit ensured the precise amplification of electrophysical signals by 450 times. In addition, the application of a TS-FET-based photodetector features high responsivity (1.08 × 104 mA/W) and detectivity (1.03 × 1020 Jones). The low-power strategy of TS-FETs is promising for the development of energy-efficient integrated circuits alongside sensor-interconnected biomedical applications in wearable technology.

Modification of SMWT for remote heart’s functional capacity determination from oxygen consumption rate

Cardiovascular disease (CVD) is series of diseases affects blood circulation and heart which are fatal to human being. CVD patients recorded that every each of them must have at least one among the following behavioural risks: smoking, diabetes, obesity, hypertension, high cholesterol, and sedentary lifestyle. The diagnosis for CVD is commonly through cardiac stress test. It is a test where electrocardiogram will be used to monitor heart activity under induced stress such as walking on treadmill. However, the facilities for the cardiac stress test are very limited and increasing number of patients with potential CVD caused a long queue for an appointment. This situation makes it hard for healthy people living with behavioral risk wanting for their heart to be checked. Therefore, in this paper, we proposed to determine heart functional capacity which can be done anywhere and sufficient to access heart condition. For this proposal, despite using treadmill-test, Six-Minutes Walking Test (SMWT) is utilized. SMWT induces stress while the heart’s endurance parameters such as heart rate is extracted. This study developed an integrated sensor device which comprises of a sensor to detect step count calculate distance, and a pulse sensor that detect heart rate. Then, oxygen consumption rate during the SMWT, is computed. Metabolic equivalent of task (MET) is equal to the oxygen consumption rate during activity over resting oxygen consumption rate. Heart functional capacity classification is about exercise intensity and the MET of SMWT can be compared to the classification which allows this paper to determine heart functional capacity remotely using SMWT. Based on the results, the heart’s functional capacity classification after performing SMWT using sensor device is Class 1, the same when using manual calculation for distance and heart rate. The device sensor somehow produce error at 20.63% when calculating oxygen uptake. Nevertheless, this paper is identified that the SMWT is able to classify the heart’s functional capacity.

Arduino-Powered Remote Monitoring System for Real-Time Heart Rate Detection via Bluetooth

With the increasing need for continuous health monitoring, this study presents the development of an Arduinopowered remote monitoring system for real-time heart rate detection via Bluetooth. The system uses an Arduino microcontroller connected to a pulse sensor to measure heart rate, with data wirelessly transmitted via Bluetooth to a remote device, enabling continuous monitoring without direct patient interaction. Initial self-monitoring trials showed consistent heart rate detection within the normal range of 62-70 beats per minute (BPM), suggesting proper functionality for preliminary use. The system also maintained a stable Bluetooth connection with no noticeable data loss. This cost-effective and efficient system is a valuable tool for telemedicine and remote patient care. Future enhancements may include integrating advanced microcontrollers and developing a more sophisticated mobile app with expanded health monitoring features.

A Comparison Between Two Sensor Devices for Measuring Heart Rate Using IOT

Heart health has become a critical issue in our modern world. The elevated risk of heart disease is an important problem for every person. The Internet of Things is among the most innovative new technologies to appear in recent years. An example of such a development is the heart rate monitor. In this paper, we propose a remote heart rate monitoring system based on Internet of Things technology to facilitate communication between the doctor and the patient. This system is designed using electronic sensors (Pulse Sensor, Easy Pulse Sensor V1.1) that measure the heart rate and then send it to the NodeMcu board, which in turn sends the data to the Firebase database, where an Android application was created and designed using the Android Studio program, which uses the Java programming language to receive data from the database in real time. We tested the system and compared it with both sensors, revealing that the Easy Pulse V1.1 sensor outperforms the pulse sensor in terms of accuracy.

Analysis of Child Safety Monitoring System using the SPSS Method

A wearing children's safety system functions as a smart gadget. Accurate and exact real-time location can be used to identify a child's surroundings. This system includes an ambient temperature display, an SOS light, and a distress buzzer. It aids them in locating their child. The system is simple to design. The programmer is designed to establish an approach that is user-friendly on both sides. GPS-equipped smart phones should be available to both parents and kids. The child's location, call history, message history, and communication via their smartphone are all tracked using this software. Safety monitoring systems use a person, rather than a mechanical system (safety monitor), to warn when roofs are six feet or more below the lowest level and are in danger of falling. A safety supervisor must be a competent person to recognize fall hazards and warn workers about them. The device has IoT tracking and a GSM module that allows you to monitor the child at all times. It has countless sensors connected to a CPU and is used to detect the right signals like heart rate, temperature and other dangers and alert the parents. A programmer called system monitoring software keeps track of, logs, and examines all levels of the IT ecosystem's system resources, from operating systems and electronics to the underlying system applications and services, to running user software. At the top Today, 80% of all child abuse cases reported around the globe. The remaining 26% were boys, with 74% being girls. In this world, a daughter goes missing every 40 seconds. Children If one's children's future is the foundation of one's nation, is affected, it affects overall development Nation. Due to abuses, children's emotional and mental stability is affected Destroying and future endeavors. The things that happen to these defenseless kids are not their fault. Parents are therefore accountable for raising their own children. But, since their children's future and career are not considered, parents are compelled to want for money. So, it is challenging to understand them. There are kids everywhere. We offer a setting in our system where this issue is able to be resolved effectively. It makes it simple for parents to follow their kids in real time as if they were close to them and they focus on their own business without any manual intervention. Ratio studies are statistical analyses of data from appraisals and property valuations. Nearly all states utilise them to produce quantitative measure of the proportion of current market price about which individually estimated taxable property is appraised as well as to offer assessment performance indicators. Evaluation parameters taken as Temperature sensor, Pulse sensor, GPS, GSM and Web camera. The Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is .658 which indicates 66% reliability. From the literature review, the above 50% Cronbach's Alpha value model can be considered for analysis. Software Engineering Defect Prediction the Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is .658 which indicates 66% reliability. From the literature review, the above 50% Cronbach's Alpha value model can be considered for analysis.

(097) MEASUREMENT OF CLITORAL PULSE AMPLITUDE WITH A WEARABLE DEVICE

Abstract Introduction Penile erection is well understood and has been extensively studied. The Erectile Hardness Score is a commonly used tool to quantify the strength of an erection. Few such measurement tools exists for women. This study builds on the work done by Mechelmans et al exploring Clitoral Pulse Amplitude (CPA) as a marker for physical arousal in women. CPA has been shown to be related to clitoral blood volume, erection, and engorgement of the clitoris. The erection in the clitoris is homologous to penile erection. Objective To test a new, wearable, clitoral pulse sensor designed for at-home use for correlation with subjective arousal for proof of concept. To test the comfort and usability of such a device configured with an internal (vaginal) portion and a clitoral portion. Methods 20 healthy female participants were shipped the device and completed the study from their home with an online module which guided them through the study material. Participants wore the device while watching a control (non-arousing) video and during progressively more sexually arousing activities. They were allowed to choose their own materials to watch, read, or listen to for arousal. A masturbation phase was included for additional information. Participants also reported their subjective arousal after each phase. After the test, participants were also surveyed about the comfort and usability of the device. Results The pulse sensor successfully detected CPA. Results show that most participants had increasing levels of subjective arousal correlating with increasing CPA. Statistical correlation between CPA and arousal was positive but low, which could be attributed to differences of sensor calibration and/or device placement by participants. Overall, this positive relationship indicates that a commercially available pulse sensor could be integrated into a future device to measure physical arousal in women, a metric which was previously not widely available. Participants reported high satisfaction with the comfort and usability of the device. These insights validate that this device shape will be comfortable and usable in further iterations, with the ultimate goal of producing a device which would give clitoris-owners greater insight into their sexual health and provide valuable information to their healthcare providers. Conclusions This study showed a positive relationship between Clitoral Pulse Amplitude and subjective sexual arousal using an at-home wearable device, opening possibilities for future measurement devices. Participants felt the device was very comfortable and easy to use, suggesting this form factor with vaginal (internal) and clitoral (external) portions is a viable configuration for further development. We anticipate improving both the pulse sensing system and device usability as the device is further commercialized. Disclosure Yes, this is sponsored by industry/sponsor: FirmTech. Clarification: Industry initiated, executed and funded study. Any of the authors act as a consultant, employee or shareholder of an industry for: FirmTech.

IoT-based Flex Sensor Gloves for Immobility Patients: A Prototype

Immobility patients often experience difficulties in daily interactions, especially communicating with nurses or carers. This study designed a glove prototype installed with a tension sensor as a communication tool to help patients. The designed prototype, a cutting-edge innovation, is paired with five flexible sensors to make it easier for nurses to read the five-finger movement signals. This prototype is not just a tool but a lifeline, equipped with temperature and pulse sensors that provide real-time monitoring of the patient’s physical condition, enhancing patient safety. Testing of the flex sensor glove prototype is carried out by processing flex-sensor input data temperature sensors, and Pulse Oximeter sensors so that they can be displayed on the Blynk application. Every movement conveys the patient's emotions and is implemented with Arduino UNO; a wireless serial interface is used for data transmission between transmitter and receiver. In an emergency, communications will be transmitted using a GSM module. The flex sensor indentation is processed by Arduino-Nano and sent to the Blynk application. Every movement conveys the patient's emotions and is implemented with Arduino UNO; a wireless serial interface is used for data transmission between transmitter and receiver. In an emergency, communications will be transmitted using a GSM module. The results of the flex sensor test show that the prototype will send notifications in the form of requests to the Blynk application.

Intelligent cardiovascular disease diagnosis system combined piezoelectric nanogenerator based on 2D Bi2O2Se with deep learning technique

Two-dimensional (2D) piezoelectric nanogenerators (PENGs) have great potential in capturing weak physiological signals on the body surface due to their superior flexibility and high sensitivity. However, there are few reports on utilizing 2D PENG to capture physiological signals for identifying human health status, and to conduct clinical trials. Here, we reported an intelligent cardiovascular disease diagnosis system that integrates a self-powered pulse sensor based on 2D Bi2O2Se PENG and deep learning (DL) technology to accurately identify nine common cardiovascular diseases. The significant piezoelectricity of Bi2O2Se nanosheets prepared by chemical vapor deposition was experimentally validated via piezoresponse force microscopy. The open-circuit voltage (VOC) and short-circuit current (ISC) of the 2D PENG can reach 60 mV and 2 nA under 0.6 % strain, respectively. The 2D PENG attached to the skin can sense the three characteristic peaks of pulse signals in different body statuses, and then extract some predictive indicators reflecting cardiovascular diseases. Clinical trials show that the intelligent cardiovascular disease diagnosis system can accurately identify nine common diseases with a recognition accuracy of 93.75 %. Our study indicates that 2D PENG has an enormous potential for long-term non-invasive health monitoring, and provides a new strategy for early diagnosis of cardiovascular diseases.

Research and Design of A Multifunctional Heart Rate Detection System

Addressing the limitations of conventional heart rate detectors, which solely monitor heart rate without providing alerts during critical incidents, a multifunctional heart rate detection system has been developed. This system incorporates a GD32 as the main controller and utilizes a pulse sensor for heart rate monitoring, an MLX90614 infrared temperature sensor for body temperature measurements, an MPU6050 acceleration sensor for motion posture detection, and a SIM868 module for GPS positioning and server communication. This comprehensive setup allows for real-time monitoring of the wearer's heart rate and body temperature, assessment of fall incidents based on motion posture data, and regular uploading of health data to a server. Additionally, the system is equipped with a one-touch emergency call feature. In the event of abnormal heart rate readings or a fall, it triggers an alarm, acquires GPS coordinates, and automatically dials an emergency contact number. After thorough testing and verification, the system has demonstrated full functionality with heart rate data accuracy within the expected error range, offering a reliable safety mechanism for patients while on the move.

Enhancing Mood Based Music Selection through Physiological Sensing Technology

Abstract: This research paper presents the development of an emotional sensor system that combines computer vision techniques with physiological sensors to detect and analyse facial expressions. The system utilizes a webcam for capturing facial images and integrates Arduino-based hardware components such as a pulse sensor, temperature sensor, galvanic skin sensor, and heart rate sensor for comprehensive emotional analysis. The proposed system aims to contribute to various fields such as human-computer interaction, psychology, and healthcare by providing a non-invasive and real-time method for emotion detection and monitoring.

Artery Pulse Waveform Acquired with a Fabry-Perot Interferometer.

For most patients admitted to a hospital, it is a requirement to continuously monitor their vital signs. Among these are the waveforms from ECG and the pulmonary arterial pulse. At present, there are several electronic devices that can measure the arterial pulse waveform. However, they can be affected by electromagnetic wave radiation, and the fabrication of electronic sensors is complicated and contributes to the e-waste, among other problems. In this paper, we propose an optical method to measure arterial pulse based on a Fabry-Perot interferometer composed of two mirrors. A pulse sensor formed by an acrylic cell with a thin membrane is used to gather the vasodilatation of the wrist, forming an air pulse that is enacted by means of a tube to a metallic cell containing a mirror that is glued to a thin silicone membrane. When the air pulse arrives, a displacement of the mirror takes place and produces a shift of the interference pattern fringes given by the Fabry-Perot. A detector samples the fringe intensity. With this method, an arterial pulse waveform is obtained. We characterize this optical device as a test of concept, and its application to measuring artery pulse is presented. The optical device is compared to other electronic devices.

Child Safety and Vitals Tracking using IoT

The basic operation of the proposed child tracking system is that when a violation of child safety is detected, a pulse and temperature sensor in the child module will produce a signal. The safety device monitors the health status of a child using sensors such as temperature sensor, pulse sensor. These sensors produce a signal when violation of child safety is detected. It is incorporated with GPS module to provide location tracking of the device. Parents receive alert through connected devices. Parents receive alerts through connected devices, allowing them to promptly respond to emergencies, track movements, and monitor vital signs. The device can detect the child's approximate location, it can detect the body temperature and the surrounding temperature, and pulse rate of a child.

Microcontroller Based Women Safety Tracker Device

This paper presents the design and implementation of a microcontroller-based women safety tracker device aimed at enhancing personal safety for women. In recent times, there has been an increasing concern for women's safety, especially in urban areas. To address this issue, our device integrates various sensors and communication modules to provide tracking and alert functionalities. The core of the device is a microcontroller unit that coordinates the operation of different components. It interfaces with sensors such as GPS, Pulse sensor, MEMs sensor to track the user's location and detect any sudden movements or falls. These sensors continuously monitor the user's activities and send data to the microcontroller for processing. In case of an emergency the device alert GSM/GPS communication for sending SMS alerts with the user's location coordinates. The device is designed to be compact, lightweight, and discreet, allowing users to carry it comfortably in various situations. Overall, the proposed women safety tracker device provides a reliable and efficient solution for enhancing personal safety.

Micro Controller Based Women Safety Tracker Device

This paper presents the design and implementation of a microcontroller-based women safety tracker device aimed at enhancing personal safety for women. In recent times, there has been an increasing concern for women's safety, especially in urban areas. To address this issue, our device integrates various sensors and communication modules to provide tracking and alert functionalities. The core of the device is a microcontroller unit that coordinates the operation of different components. It interfaces with sensors such as GPS, Pulse sensor, MEMs sensor to track the user's location and detect any sudden movements or falls. These sensors continuously monitor the user's activities and send data to the microcontroller for processing. In case of an emergency the device alert GSM/GPS communication for sending SMS alerts with the user's location coordinates. The device is designed to be compact, lightweight, and discreet, allowing users to carry it comfortably in various situations. Overall, the proposed women safety tracker device provides a reliable and efficient solution for enhancing personal safety. Keywords- Microcontroller,, Tracker device, Sensors, GPS

Noninvasive Blood Glucose Detection System With Infrared Pulse Sensor and Hybrid Feature Neural Network

Noninvasive Blood Glucose Detection System With Infrared Pulse Sensor and Hybrid Feature Neural Network

Design and Production of Heartbeat Counter for Medical Application

Heartbeat pulse measurement is an important medical practice used to determine the health status of an individual. This research was concerned on the design and production of heartbeat pulse counter for medical applications with specific features. The device senses and monitors the heartbeat rate whenever a fingertip is placed on the pulse sensor, the pulse sensor is a plug and play device which is detachable from the Arduino Uno board, the Arduino Uno receives and calculates this data and the result displayed on the 16X2 LCD display based on the written codes. It has the features for initial display, showing system on and when a finger is placed, it readily displays heartbeat rate detected and presents the pulse rate of the individual. Its design and production was achieved and used to test the heartbeat of many persons. Further work is required to incorporate GSM module with the capability of sending text message and cloud hosting of the medical data of an individual.

Smart spirits: an integrated IoT-based liquor and health monitoring system

This project entails the development of a comprehensive health monitoring system utilizing Arduino Uno, a range of sensors (including alcohol, pulse, and DHT11), an LCD display, and a GSM module for data transmission to the Thingspeak application. Its objective is to monitor vital health parameters such as temperature, humidity, pulse rate, and alcohol levels in real-time, accessible via the Thingspeak mobile app. Key components include an Arduino Uno microcontroller, DHT11 sensor for temperature and humidity, pulse sensor for heart rate, alcohol sensor for detecting alcohol levels, LCD display for immediate feedback, and a GSM module for remote data transmission. The user-friendly Thingspeak app serves as an interface for seamless health metric monitoring. The system operates by collecting sensor data, displaying it locally on the LCD screen, and simultaneously transmitting it to the Thingspeak app via GSM communication. Users can then access the app to visualize and monitor their health metrics in real-time, allowing for prompt interventions or medical assistance if needed. The code implementation integrates sensor readings, LCD display control, and Thingspeak functionality. Leveraging Thingspeak's cloud-based platform enhances usability and accessibility, making remote health monitoring feasible. This system offers a versatile solution for individuals looking to efficiently track and manage their well-being, thanks to the integration of Arduino Uno, sensors, Thingspeak features, and GSM communication, making it suitable for both local and remote health monitoring applications.