scholarly journals Alarm warning dan rem otomatis berbasis detak jantung pada olahraga bersepeda

JURNAL ELTEK ◽  
2021 ◽  
Vol 19 (2) ◽  
pp. 105
Author(s):  
Yogi Dwi Saputra ◽  
Hari Kurnia Safitri
Keyword(s):  
Heart Rate ◽  
Rest Heart Rate ◽  
Database System ◽  
Maximal Heart Rate ◽  
Heart Rate Data ◽  
Training History ◽  
Working Principle ◽  
Rate Sensor ◽  
And Training ◽  
Test Result

Jantung merupakan organ vital pada tubuh manusia. Oleh karena itu, penting dalam memelihara kesehatan jantung. Salah satunya melalui pelatihan berbasis detak jantung, yaitu menjaga detak jantung dalam kisaran yang ditetapkan. Salah satu pengaplikasiannya adalah olahraga bersepeda, namun tidak jarang pesepeda melebihi target maksimal saat bersepeda, sehingga hal tersebut menyalahi aturan dalam pelatihan. Prinsip kerja alat ini adalah mengaktifkan alarm warning jika detak jantung pengguna melebihi target maksimal saat latihan dan mengaktifkan rem otomatis ketika pengguna menghiraukan alarm warning. Target latihan diperoleh dari perhitungan umur, maximal heart rate (MHR), Rest Heart Rate (RHR), dan riwayat latihan. Penelitian ini menggunakan grove heart rate sensor sebagai sensor detak jantung dengan mikrokontroler Arduino MEGA. Proses pengambilan maupun penyimpanan data pada database dilakukan oleh NodeMCU.  Motor DC 12V digunakan sebagai penarik rem dengan driver motor sebagai pengatur arah dan putaran motor. Berdasarkan hasil pengujian diperoleh bahwa data detak jantung peserta latihan tersimpan dalam database sistem, alarm warning  bekerja(buzzer on) jika detak jantung  peserta diatas 135 bpm, dan  rem otomatis bekerja pada saat detak jantung peserta latihan diatas 135 bpm dengan berubahnya panjang tali rem dari 15 cm menjadi 12 cm. The heart is a vital organ in the human body. Therefore, it is important in maintaining heart health. One of them is through heart rate-based training, which is keeping the heart rate within a specified range. One of its applications is cycling, but it is not uncommon for cyclists to exceed the maximum target when cycling, so that this violates the rules in training. The working principle of this tool is to activate an alarm warning if the user's heart rate exceeds the maximum target during training and activate the automatic brake when the user ignores the alarm warning. Training targets are obtained from the calculation of age, maximal heart rate (MHR), Rest Heart Rate (RHR), and training history. This study uses a grove heart rate sensor as a heart rate sensor with an Arduino MEGA microcontroller. The process of retrieving and storing data in the database is carried out by NodeMCU. DC 12V motor is used as a brake puller with the motor driver to control the direction and rotation of the motor.  Base on the test result, it is found that the participant’s heart rate data is stored in the database system, the alarm warning work (buzzer on)if the participant’s herat rate is above 135 bpm, and the brakes automatically work when the participant’s herat rate is above 135 bpm by changing the length of the brake rope from 15cm to 12 cm.  

Prediction of Menstrual Cycle Phase by Wearable Heart Rate Sensor

2021 ◽  
pp. 1-15
Author(s):  
Junichiro Hayano ◽  
Emi Yuda
Keyword(s):  
Heart Rate ◽  
Menstrual Cycle ◽  
Technological Development ◽  
Unmet Need ◽  
Cycle Phase ◽  
Rate Data ◽  
Menstrual Cycle Phase ◽  
Heart Rate Data ◽  
Rate Sensor

The prediction of the menstrual cycle phase and fertility window by easily measurable bio-signals is an unmet need and such technological development will greatly contribute to women's QoL. Although many studies have reported differences in autonomic indices of heart rate variability (HRV) between follicular and luteal phases, they have not yet reached the level that can predict the menstrual cycle phases. The recent development of wearable sensors-enabled heart rate monitoring during daily life. The long-term heart rate data obtained by them carry plenty of information, and the information that can be extracted by conventional HRV analysis is only a limited part of it. This chapter introduces comprehensive analyses of long-term heart rate data that may be useful for revealing their associations with the menstrual cycle phase.

scholarly journals Analysis of Fitness Status Variations of Under-16 Soccer Players Over a Season and Their Relationships With Maturational Status and Training Load

2021 ◽  
Vol 11 ◽  
Author(s):  
Hadi Nobari ◽  
Ana Filipa Silva ◽  
Filipe Manuel Clemente ◽  
Marefat Siahkouhian ◽  
Miguel Ángel García-Gordillo ◽  
...  
Keyword(s):  
Heart Rate ◽  
Statistical Significance ◽  
Maximal Oxygen Consumption ◽  
Average Power ◽  
Training Load ◽  
Maximal Heart Rate ◽  
Period 2 ◽  
Two Factors ◽  
Maximal Speed ◽  
And Training

The purposes of this study were (i) to analyze the variations in maximal oxygen consumption (VO2max), maximal heart rate (HRmax), heart rate at rest, acceleration, maximal speed, agility, anaerobic sprint test (RAST) of peak power (RPP), RAST of minimum power, RAST of average power (RAP), and RAST of fatigue index (RFI) during the competitive season, using maturation status and accumulated training load as covariates, and (ii) to describe the differences between responders and non-responders in relation to baseline levels. Twenty-three elite players from the same team competing in the national under-16 competitions were evaluated for 20 weeks in period 1 (before league), middle (mid league), and period 2 (after league). The VO2max (p = 0.009), maximal speed (p = 0.001), RPP (p < 0.001), RAP (p < 0.001), and RFI (p < 0.001) significantly changed across the assessment periods. Interestingly, using accumulated training load and maturation status as covariates revealed no statistical significance (p > 0.05). When analyzing responders and non-responders, only HRmax (between periods 1 and 2) showed no differences between the groups. As a conclusion, it can be seen that accumulated training load and maturation status play an important role in the differences observed across the season. Thus, coaches should consider the importance of these two factors to carefully interpret fitness changes in their players and possibly adjust training decisions according to the maturation level of the players.

scholarly journals Analysis and comparison of intensity in specific soccer training sessions

2015 ◽  
Vol 21 (1) ◽  
pp. 54-60 ◽  
Author(s):  
Luciano Antonacci Condessa ◽  
Christian Emmanuel Torres Cabido ◽  
André Maia Lima ◽  
Daniel Barbosa Coelho ◽  
Vinicius M. Rodrigues ◽  
...  
Keyword(s):  
Heart Rate ◽  
Exercise Intensity ◽  
High Intensity ◽  
Soccer Players ◽  
Moderate Intensity ◽  
Maximal Heart Rate ◽  
Professional Soccer ◽  
High Intensity Zone ◽  
Soccer Training ◽  
And Training

This study compared the exercise intensity of four specific soccer training sessions (friendly and training match, tactical and technical workouts). Ten professional soccer players (24.2 ± 3.7 years, 177.9 ± 7.3 cm, 63.2 ± 4.6 mLO2•kg-1•min-l) were recruited. A treadmill progressive interval test was performed to determine the players' VO2max, maximal heart rate (HRmax), HR-VO2 curve, and the heart rate corresponding to blood lactate concentrations of 2 and 4 mmol/L. The heart rate during the training sessions was used to estimate the exercise intensity and to classify them into intensity zones (low-intensity: <2 mmol/L; moderate-intensity: between 2 and 4 mmol/L; high-intensity: >4 mmol/L). Exercise intensities were different among training sessions (friendly match: 86.0 ± 5.1% HRmax; training match: 81.2 ± 4.1% HRmax; tactical workout: 70.4 ± 5.3% HRmax; technical workout: 62.1 ± 3.6% HRmax). The friendly match presented the highest percentage of time performed in the high-intensity zone.

scholarly journals Effects of ageing and training on maximal heart rate and V̇O2max

2002 ◽  
Vol 34 (S34) ◽  
pp. 100-105 ◽  
Author(s):  
C. L. BETROS ◽  
K. H. MCKEEVER ◽  
C. F. KEARNS ◽  
K. MALINOWSKI
Keyword(s):  
Heart Rate ◽  
Maximal Heart Rate ◽  
And Training

Effect of training on intrinsic and resting heart rate and plasma volume in young and old horses

2013 ◽  
Vol 9 (1) ◽  
pp. 43-50 ◽  
Author(s):  
C.L. Betros ◽  
N.M. McKeever ◽  
H.C. Manso Filho ◽  
K. Malinowski ◽  
K.H. McKeever
Keyword(s):  
Heart Rate ◽  
Exercise Training ◽  
Plasma Volume ◽  
Autonomic Function ◽  
Maximal Heart Rate ◽  
Resting Heart Rate ◽  
Intense Exercise ◽  
Age Related ◽  
Young Horses ◽  
And Training

The chronic bradycardia seen in several species after intense exercise training may be due to autonomic mechanisms, non-autonomic mechanisms, such as increased pre-load, or a combination of the two. Thirteen, healthy, unfit Standardbred mares were split into two groups: young (age 12±1 yr; mean ± standard error, n=8) and old (age 22±1 yr, n=5) to test the hypothesis that there would be age and training related differences in resting heart rate (RHR), intrinsic heart rate (IHR), maximal heart rate (HRmax) and plasma volume (PV). Mares were trained 3 d/wk at 60% HRmax for 20 min and gradually increased to exercising 5 d/wk at 70% HRmax for 30 min and RHR, IHR, HRmax, and PV were measured prior to and after the 8 wk training period. There were no age related differences (P≯0.05) between young and old mares before (41±2 vs. 42±2 beats per minute (bpm); 86±5 vs. 80±4 bpm) or after training (35±1 vs. 34±1 bpm; 81±6 vs. 78±2 bpm) for RHR and IHR respectively. RHR was decreased (P<0.05) following training in both the young (41±2 vs. 35±1 bpm) and old mares (42±2 vs. 34±2 bpm). Training decreased IHR (P<0.05) in the young mares (86±5 vs. 81±6 bpm), but not (P≯0.05) the old mares (80±4 vs. 78±2 bpm). The young horses had a higher HRmax than the old horses (P<0.05) both before (216±5 vs. 200±4 bpm) and after training (218±3 vs. 197±5 bpm). Maximal heart rate was not altered after training (P≯0.05) in either young (216±5 vs. 218±3 bpm) or old (200±4 vs. 197±5 bpm) mares. The PV of the young mares was 15% higher before training and 32% higher after training when compared to the old mares (P<0.05). Training caused an increase in PV in young mares (+9%; P<0.05), but did not alter PV in old mares (-5%; P≯0.05). Training improved RHR in the young but not the old horses. The decrease in measured parameters in the young horses appears to be related to enhanced pre-load associated with a training-induced hypervolemia as well as changes in autonomic function.

Correlation in the heart rate data

1998 ◽  
Vol 2 ◽  
pp. 141-148
Author(s):  
J. Ulbikas ◽  
A. Čenys ◽  
D. Žemaitytė ◽  
G. Varoneckas
Keyword(s):  
Nonlinear Dynamics ◽  
Experimental Data ◽  
Heart Rate ◽  
Time Series ◽  
Cardiovascular Function ◽  
Statistical Properties ◽  
Rate Data ◽  
Heart Rate Data ◽  
Dynamical Nature ◽  
Analysis Of Time Series

Variety of methods of nonlinear dynamics have been used for possibility of an analysis of time series in experimental physiology. Dynamical nature of experimental data was checked using specific methods. Statistical properties of the heart rate have been investigated. Correlation between of cardiovascular function and statistical properties of both, heart rate and stroke volume, have been analyzed. Possibility to use a data from correlations in heart rate for monitoring of cardiovascular function was discussed.

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

scholarly journals Exercise chronotropic incompetence phenotypes the level of cardiovascular risk and exercise gas exchange impairment in the general population. An analysis of the Euro-EX prevention trial

2019 ◽  
Vol 27 (5) ◽  
pp. 526-535 ◽  
Author(s):  
Pietro Laforgia ◽  
Francesco Bandera ◽  
Eleonora Alfonzetti ◽  
Marco Guazzi
Keyword(s):  
Heart Rate ◽  
Cardiovascular Risk ◽  
Gas Exchange ◽  
Left Ventricular ◽  
Prevention Trial ◽  
Volume Index ◽  
Maximal Heart Rate ◽  
Heart Rate Reserve ◽  
Peak Heart Rate ◽  
Apparently Healthy

Background Chronotropic insufficiency (CI) is defined as the inability of the heart to increase its rate commensurate with increased demand. Exercise CI is an established predictor of major adverse cardiovascular events in patients with cardiovascular diseases. Aim The aim of this study was to evaluate how exercise CI phenotypes different levels of cardiovascular risk and how it may better perform in defining cardiovascular risk when analysed in the context of cardiopulmonary exercise test (CPET)-derived measures and standard echocardiography in a healthy population with variable cardiovascular risk profile. Methods Apparently healthy individuals ( N = 702, 53.8% females) with at least one major cardiovascular risk factor (MCVRF; hypertension, diabetes, tabagism, dyslipidaemia, body mass index > 25), enrolled in the Euro-EX prevention trial, underwent CPET. CI was defined as the inability to reach 80% of the chronotropic index, that is, the ratio of peak heart rate – rest heart rate/peak heart rate – age predicted maximal heart rate (AMPHR: 220 – age), they were divided into four groups according to the heart rate reserve (<80%>) and respiratory gas exchange ratio (RER; < 1.05>) as a marker of achieved maximal performance. Subjects with a RER < 1.05 ( n = 103) were excluded and the final population ( n = 599) was divided into CI group ( n = 472) and no-CI group ( n = 177). Results Compared with no-CI, CI subjects were more frequently females with a history of hypertension in a high rate. CI subjects also exhibited a significantly lower peak oxygen uptake (VO2) and circulatory power and an echocardiographic pattern indicative of higher left atrial volume index and left ventricular mass index. An inverse stepwise relationship between heart rate reserve and number of MCVRFs was observed (one MCVRF: 0.71 ± 0.23; two MCVRFs: 0.68 ± 0.24, three MCVRFs: 0.64 ± 0.20; four MCVRFs: 0.64 ± 0.23; five MCVRFs: 0.57 ± 18; p < 0.01). In multivariate analysis the only variable found predicting CI was peak VO2 ( p < 0.05; odds ratio 0.91; confidence interval 0.85–0.97). Conclusions In a population of apparently healthy subjects, exercise CI is common and phenotypes the progressive level of cardiovascular risk by a tight relationship with MCVRFs. CI patients exhibit some peculiar abnormal exercise gas exchange patterns (lower peak VO2 and exercise oscillatory ventilation) and echo-derived measures (higher left atrium size and left ventricle mass) that may well anticipate evolution toward heart failure.

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