S3Bike: An Electrically Assisted Cycle Monitored in Heart Beat to Help People with Heart Problem - Tests and Choice of the Best Heart Rate Sensor

2017 ◽  
Author(s):  
Coline Jamme ◽  
Kaveena Devi Persand ◽  
Georges Soto-Romero ◽  
Annabelle Vigué
Keyword(s):  
Heart Rate ◽  
Heart Beat ◽  
Heart Problem ◽  
Electrically Assisted ◽  
Rate Sensor

Health Monitoring System for Automobile Vehicles to Enhance Safety

2018 ◽  
Vol 10 (6) ◽  
Author(s):  
C. Dineshkumar ◽  
M. Subramanian ◽  
Jenorish Muthaya ◽  
V. Deepan
Keyword(s):  
Heart Rate ◽  
Heart Attack ◽  
Control Unit ◽  
Warning Signal ◽  
Health Condition ◽  
Heart Beat ◽  
Vehicle Accidents ◽  
Speed Sensor ◽  
The Status ◽  
Rate Sensor

In recent times most of the automotive vehicle accidents are increased day by day in India. Recent causes of the accident shows that more than 20% of accidents are caused due to health issues which occur to drivers while driving the vehicle. In the proposed project we had been monitoring the status of health condition of the driver by using sensors such as pulse rate sensor and temperature sensor. The heart beat rate falls below the lower limit and above the higher limit to the driver. The driver can be prevented from driving the vehicle when he is in extreme emotion such as heart attack, arrhythmias, heart stiffening or weakening, cardiomyopathy, stress, anxiety, depression etc. The speed of the vehicle is measured by speed sensor in the vehicle. The ultrasonic sensor which is used to sense the object placed in the front of the vehicle. The result is to create a system capable of contributing to the reduction of collisions. The driver who suddenly suffers from health issue especially heart attack while driving the vehicle cannot handle the vehicle because during heartache the movement of hands is difficult to control the vehicle which leads to accidents. The heart rate sensor placed in seatbelt of the driver and heat sensor in the driver seat. The sensors collect the data and send it to the control unit which interprets the data with the standard value and if some values are unusual may be in heart rate, blood pressure. The control unit sends out a warning signal to the driver and if the driver doesn’t show any reaction within the set time the braking system is actuated.

scholarly journals Sistem Perekam Detak Jantung Berbasis Pulse Heart Rate Sensor pada Jari Tangan

2018 ◽  
Vol 6 (3) ◽  
pp. 344
Author(s):  
HENDI HANDIAN RACHMAT ◽  
DIENAR RASMI AMBARANSARI
Keyword(s):  
Heart Rate ◽  
Young Adult ◽  
Index Finger ◽  
Middle Finger ◽  
Heart Beat ◽  
Recording System ◽  
Healthy Young Adult ◽  
Rate Sensor ◽  
Sd Card ◽  
Adult Volunteers

ABSTRAKPada studi ini dilakukan rancang bangun sistem perekam detak jantung portabel berbasis pulse heart rate sensor. Studi ini bertujuan untuk mengetahui keakuratan pulse heart rate sensor dalam mendeteksi detak jantung pada jari tangan, dimana tahap selanjutnya sistem ini akan digunakan untuk merekam detak jantung pasien seharian dalam kondisi beraktivitas. Sistem ini dirancang menggunakan modul pulse heart rate sensor yang dihubungkan dengan mikrokontroller Arduino Nano. Data detak jantung direkam pada modul SD Card. Hasil pengukuran sistem ini dibandingkan dengan hasil pengukuran alat Oxymeter. Pengujian dilakukan dengan mengukur detak jantung bagian jari tengah dengan alat Oxymeter dan bagian jari telunjuk dengan sistem ini. Pengujian dilakukan masing-masing satu kali pada 2 jari tangan kanan dan tangan kiri dari 30 orang naracoba dengan rentang usia 18-23 tahun. Hasil pengujian menunjukkan rata-rata error akurasi sistem ini adalah 2 bpm terhadap Oxymeter dengan selisih terbesar 5 bpm. Kata kunci: detak jantung, jari tangan, Oxymeter, SD Card, sensor pulse heartrate. ABSTRACTIn this study, we implemented a portable pulse heart rate sensor based heart beat recording system. The goal of this study is to evaluate an accuracy of the sensor for detecting the heart beat on both a right finger and a left finger in order to implement an ambulatory heart beat recording system. The pulse heart rate sensor was connected to an Arduino Nano contoller module to calculate the heart beat. The heart beat was then recorded in a SD Card module. The system’s results were compared to an oxymeter. Thirty healthy young adult volunteers were involved in this study by measuring the heart beat on a middle finger with Oxymeter and on an index finger with our system. The measurement was tested on both hands’s fingers. The results showed that an accuracy of the system is 2 bpm relative to the Oxymeter’s with the biggest difference of 5 bpm.Keywords: fingers, heart rate, Oxymeter, pulse heart rate sensor, SD Card

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

EMFi material as wearable heart rate sensor for night time recordings

2010 ◽  
Author(s):  
Antti Vehkaoja ◽  
Timo Salpavaara ◽  
Jarmo Verho ◽  
Jukka Lekkala
Keyword(s):  
Heart Rate ◽  
Night Time ◽  
Rate Sensor

A Low-Power Heart Rate Sensor with Adaptive Heartbeat Locked Loop

2021 ◽  
Author(s):  
Zhouchen Ma ◽  
Cheng Chen ◽  
Min Wang ◽  
Yang Zhao ◽  
Liang Ying ◽  
...  
Keyword(s):  
Heart Rate ◽  
Low Power ◽  
Rate Sensor

Wearable Sensors and Their Metrics for Measuring Comprehensive Occupational Fatigue: A Scoping Review

2017 ◽  
Vol 61 (1) ◽  
pp. 1041-1045 ◽  
Author(s):  
Yibo Zhu ◽  
Rasik R Jankay ◽  
Laura C Pieratt ◽  
Ranjana K. Mehta
Keyword(s):  
Heart Rate ◽  
Scoping Review ◽  
Wearable Sensors ◽  
Health And Safety ◽  
Exclusion Criteria ◽  
Multidimensional Construct ◽  
Ovid Medline ◽  
Rate Sensor ◽  
Sleep Length ◽  
Occupational Fatigue

Extensive research has been conducted to study the effects of physical and sleep related fatigue on occupational health and safety. However, fatigue is a complex multidimensional construct, that is task- and occupation-dependent, and our knowledge on how to measure this complex construct is limited. A scoping review was conducted to: 1) review sensors and their metrics currently employed in occupational fatigue studies, 2) identify overlap between sensors and associated metrics that can be leveraged to assess comprehensive fatigue, 3) investigating the effectiveness of the sensors/metrics, and 4) recommended potential sensor/metric combinations to evaluate comprehensive fatigue. 512 unique abstracts were identified through Ovid-MEDLINE, MEDLINE, Embase and Cinal databases and application of the inclusion/exclusion criteria resulted in 27 articles that were included for the review. Heart rate sensors and actigraphs were identified to be the most suitable devices to study comprehensive fatigue. Heart rate trend within the heart rate sensor, and sleep length and sleep efficiency within actigraphs were found to be the most popular and reliable metrics for measuring occupational fatigue.

scholarly journals 962 Heartlight - Delivery Room Acquisition Time for a Novel Forehead Heart Rate Sensor for Newborn Resuscitation

2010 ◽  
Vol 68 ◽  
pp. 480-480
Author(s):  
C Ward ◽  
J Teoh ◽  
M Grubb ◽  
J Crowe ◽  
B Hayes-Gill ◽  
...  
Keyword(s):  
Heart Rate ◽  
Delivery Room ◽  
Acquisition Time ◽  
Newborn Resuscitation ◽  
Rate Sensor

scholarly journals Microcontroller Based Portable Incubator Monitoring Tool with Short Message Service (SMS) notifications

2021 ◽  
Vol 2111 (1) ◽  
pp. 012026
Author(s):  
Muhammad Irmansyah ◽  
Efrizon ◽  
Anggara Nasution ◽  
Era Madona
Keyword(s):  
Heart Rate ◽  
Short Message Service ◽  
Average Error ◽  
Short Message ◽  
Monitoring Tool ◽  
Premature Babies ◽  
Pulse Sensor ◽  
Message Service ◽  
Rate Sensor ◽  
Weight Sensor

Abstract The aim of this research was applied a microcontroller, temperature sensor, weight sensor, heart rate sensor and GSM module to monitoring and notification of the condition of premature babies in portable incubators. The hardware used consists of a DS18B20 sensor, Load Cell, Pulse Heart Rate Sensor, Buzzer, LCD and SIM800L Module. The results showed the Pulse sensor and DS18B20 sensor could measure and detect the baby’s heart rate and baby temperature. The result was on the LCD with an average error of 4.354% for heartrate and 1.437% for temperature. The loadcell sensor can detect weight with an error of 2.16%. The duration of sending SMS to Smartphone is 8s for each delivery. SMS was sent if the baby weak and critical condition.

scholarly journals Non-Contact Pulse Detector using Video Analytics

2020 ◽  
Vol 9 (5) ◽  
pp. 1597-1600
Keyword(s):  
Computer Vision ◽  
Heart Rate ◽  
Computational Cost ◽  
Heart Beat ◽  
Signal Frequency ◽  
Waiting Room ◽  
Non Invasive ◽  
Safe Side ◽  
Patient Will ◽  
Low Computational Cost

Non-contact pulse detector used for heart beat measurement based on computer vision, where a standard color camera captures the plethysmographic signal and the heart rates are processed and estimated dynamically. It is important that the quantities are taken in a non-invasive manner, which is invisible to the patient. Presently, many methods have been proposed for non-contact measurement. The proposed method based on the computer vision technique is enhanced to overcome the above drawbacks and it requires low computational cost. Many of the hospitals are using surveillance cameras, from these cameras we can monitor the video of the patients waiting in the queue. The camera is attached in the patients’ waiting room and the faces of the patients are monitored. Many factors are considered in the phases of image acquisition, as well as in the plethysmographic signal development, pre-processing and filtering. The pre-filter step uses numerical analysis techniques to cut the signal offset. The proposed method decouples the heart rate from the plethysmographic signal frequency. The proposed system helps in detecting the heart rate of a Patient who is waiting in queue for longer time. Based on the heart rate the seriousness of patient is identified and giving the preference to the patient and treatment will be started, with this the patient will be in safe side.

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