Heart Rate Variability Based Training by Jason Winegar

[Jason is currently pursuing his masters degree from Marshall University in kinesiology with an emphasis on exercise physiology. He is a high performance tennis coach with experience coaching nationally and internationally ranked players all over the world. Jason is a certified High Performance Tennis Coach with the USTA and hold certifications with the USPTA and the iTPT. He is taking part in the Athletic Lab Coaching Mentorship program.] Most athletes understand the concept of progressive overload. The body must be stressed with a workout followed by a period of recovery to improve fitness. Traditional periodized training follows a predetermined training schedule, whether linear, block, or any other variety. Training days and rest days are assigned in advance. These training progressions have been proven to be more effective than random training. However, they do not consider how an individual responds to the training. If someone is feeling run down or sick or is going through an exceptionally stressful time at work, their training will be compromised. For this reason, the traditional model may not be the most effective training approach for some people. There is an alternative to typical periodized training called heart rate variability (HRV) training. HRV training differs from standard periodized training in that training plans are flexible. An HRV measurement in the morning determines the volume/intensity of training. The most difficult workouts are assigned on days when HRV is high. Rest days occur when HRV is below average. HRV training can account for individual training and life stress responses, theoretically creating more optimal training. What is Heart Rate Variability? A resting heart rate of 60 beats per minute (bpm) means the heartbeats 60 times in one minute. As impressive as the heart is, [...]

By |2022-04-20T16:04:59-04:00April 20th, 2022|Training Info|0 Comments

A Closer Look at Heart Rate Variability by Gaby Smith

[This is a guest blog by Gaby Smith. Gaby Smith completed her MS in Exercise Science at Northeastern University and is participating in the Athletic Lab Mentorship Program. Gaby is a Certified Strength and Conditioning Specialist and holds certifications with U.S. Soccer, USAW, and USTFCCCA.] Resting, exercise, and recovery heart rates are common measures used to monitor fatigue, fitness, and performance responses and are often used to adjust training load. Recently, heart rate variability (HRV) has become a measure more commonly used to assess an athlete's readiness to perform and ensure the appropriate dose of training (ie. preventing overtraining or detraining). Generally, training load is quantified by external and internal indicators of intensity along with training time. External indicators may include distance, power output, or number of repetitions, while internal indicators include oxygen uptake, heart rate, blood lactate, or RPE (Buchheit, 2014). When it comes to monitoring and measuring athletes? fatigue, heart rate (HR) measures are commonly used because they are inexpensive, time efficient, and can be applied routinely and simultaneously with many athletes. Resting HR, exercise HR, and HRV are all related to autonomic nervous system (ANS) activity and their use in combination may improve the monitoring of the training status of athletes. While there are a number of HR measures that can be used to assess an athlete's training status, it is of utmost importance that whatever measure is used, it is standardized in order to isolate the training-induced effects (Buccheit, 2014). Physiological determinants of resting HR include cardiac muscle morphology, ANS activity, body position, and plasma volume (Buccheit, 2014). Best practice recommends the athlete measure resting HR upon waking up in the morning from a supine, seated, or standing position - but [...]

By |2020-09-15T23:27:48-04:00September 17th, 2020|Training Info|0 Comments

Heart Rate (HR)-based training: Why it may not work.

HR-based training is about as effective as BMI is for tracking your weight. For those of you that are unfamiliar many of your personal trainers, health care providers, and general practitioners will use BMI as a way to track your body weight. Essentially, it is a height/weight proportion equation, and used by itself it's completely archaic and ridiculous. HR-based training is much the same in this regard--based off of archaic and imperfect data. Currently, there remains no formula that provides an acceptable accurate prediction for HRmax (Roebergs & Landwehr, 2002). Indeed, there is a correlation to HR in response to exercise. As your exercise intensity increases, so too will HR, and this increase mirrors cardiac output (Roebergs & Landweht, 2002). However, researchers and practitioners need a way to quantify this work and to prescribe accurate ranges so that athletes can continue to improve their cardiovascular systems. Currently, this is very difficult to do without a true 'to exhaustion' test. This is where 220-age=HRmax comes in, which was actually preceded by a similar equation, 212-.077(age)=HRmax. Both of these equations are inadequate in terms of predicting your HRmax. In order to further prove this point, a short history lesson is required. Original data on 225 subjects (115 male, 110 females) was used in either a treadmill or cycle ergometer test (the details are not 100% verifiable) and from these tests an equation was derived, 216.6-.84(age)=HRmax (Roebergs & Landweht, 2002). While this equation shows a strong significant correlation (r=.43) the error is considerable (Sxy=11 b/min) not to mention in this study it was found that average decrease in HRmax for women was 12 beats over 21 years and 19 beats in 33 years. What this all means, that, [...]

By |2017-04-13T11:03:26-04:00March 7th, 2014|Training Info|0 Comments
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