Validation of a widely used heart rate monitor to track steps in older adults

Author(s):  
Stefanie Rüdiger ◽  
Tim Stuckenschneider ◽  
Vera Abeln ◽  
Christopher D. Askew ◽  
Petra Wollseiffen ◽  
...  
2019 ◽  
Vol 5 (3) ◽  
pp. 74
Author(s):  
Rezarta Stena ◽  
Klara Hysenaj ◽  
Mitilda Gugu Karoli ◽  
Armelda Teta ◽  
Gjergji Doka

It is known that worldwide populations are aging, and also that physical activity can play an important role in minimizing impairments characteristic of old age. Adopting a more active lifestyle and doing regular physical activity, including aerobic and resistance exercises, daily walking etc. have been demonstrated to improve cardiovascular, respiratory, and musculoskeletal parameters in older adults. We assessed a potential participant from Elbasan (Albania), 67 years, for eligibility to participate in a 5 month training program. The subject gave written informed consent before inclusion.The following parameters were measured at the beginning (baseline) and end of the training period: BMI, body fat percentage, hand grip strength, lower/upper limb and trunk flexibility and range of motion, heart rate, balance, pain intensity, as well as VO2 max, directly and/or an estimate using the Rockport fitness test estimate. An initial evaluation was carried out just before starting the training (baseline). A second evaluation was made 5 months after starting the program of physical exercise (post training). Each evaluation included the recording of health related events, such as any changes in previous symptoms, as well as measurements of balance, flexibility, body composition, coordination, muscle strength, and aerobic capacity, to detect any changes that might have been induced specifically by physical activity. The subject’s attendance and participation in the program was also recorded. Range of motion for each part evaluated (trunk, hip, cervical region and shoulder) is improved about 15-20° degree. BMI, hand grip strength, lower/upper limb and trunk flexibility, heart rate, balance, pain intensity, VO2 max are also improved after training program. Following a training program or a regular physical activity in older adults minimise impairments characteristics in this age and cardiovascular, respiratory, and musculoskeletal parameters. According to the low importance shown in my country for the physical activity in older adults, I want to emphasize the importance of state structures involvement and the sensibilization of this group of age to stimulate an actively participation in physical training programs followed by professionals for bests life parameters. A higher investment for this age group, building as many facilities as possible for activation and spending quality free time, hiring more physiotherapists in nursing homes will increase life motivation and improve the quality and the parameters of living.


Author(s):  
Emilio J Ruiz-Malagón ◽  
Santiago A Ruiz-Alias ◽  
Felipe García-Pinillos ◽  
Gabriel Delgado-García ◽  
Victor M Soto-Hermoso

Chest bands have been the most used device to monitor heart rate during running. However, some runners feel uncomfortable with the use of bands due to the friction and pressure exerted on the chest. Thus, the aim of this study was to determine if the photoplethysmography (PPG) system Polar Precision Prime used in the Polar Vantage M watch could replace chest bands (Polar V800-H10) to monitor heart rate with the same precision. A group of 37 people, middle-distance and long-distance professional runners, participated in this study. The submaximal speed was determined using 50% of the participants’ maximum speed in the height of their season. The Polar Vantage M reported high correlation ( r > 0.84) and high ICC (ICC > 0.86) when comparing its heart rate monitor with the Polar V800 synchronised with H10 chest strap during recording intervals of more than 2 min. The systematic bias and random error were very small (<1 bpm), especially for the 600 s recording interval (0.26 ± 5.10 bpm). Nevertheless, the error increased for 10 s (−5.13 ± 9.20 bpm), 20 s (−8.65 ± 12.60 bpm) and 30 s (−10.71 ± 14.99 bpm) time intervals. In conclusion, the PPG Polar Precision Prime included in the Polar Vantage M demonstrates that it could be a valid alternative to chest bands for monitoring heart rate while running, taking into account some usage considerations, good strap adjustment and an initial calibration time during the first 2–3 min.


Author(s):  
Michal Kafri ◽  
Patrice L. Weiss ◽  
Gabriel Zeilig ◽  
Moshe Bondi ◽  
Ilanit Baum-Cohen ◽  
...  

Abstract Background Virtual reality (VR) enables objective and accurate measurement of behavior in ecologically valid and safe environments, while controlling the delivery of stimuli and maintaining standardized measurement protocols. Despite this potential, studies that compare virtual and real-world performance of complex daily activities are scarce. This study aimed to compare cognitive strategies and gait characteristics of young and older healthy adults as they engaged in a complex task while navigating in a real shopping mall and a high-fidelity virtual replica of the mall. Methods Seventeen older adults (mean (SD) age = 71.2 (5.6) years, 64% males) and 17 young adults (26.7 (3.7) years, 35% males) participated. In two separate sessions they performed the Multiple Errands Test (MET) in a real-world mall or the Virtual MET (VMET) in the virtual environment. The real-world environment was a small shopping area and the virtual environment was created within the CAREN™ (Computer Assisted Rehabilitation Environment) Integrated Reality System. The performance of the task was assessed using motor and physiological measures (gait parameters and heart rate), MET or VMET time and score, and navigation efficiency (cognitive performance and strategy). Between (age groups) and within (environment) differences were analyzed with ANOVA repeated measures. Results There were no significant age effects for any of the gait parameters but there were significant environment effects such that both age groups walked faster (F(1,32) = 154.96, p < 0.0001) with higher step lengths (F(1,32) = 86.36, p < 0.0001), had lower spatial and temporal gait variability (F(1,32) = 95.71–36.06, p < 0.0001) and lower heart rate (F(1,32) = 13.40, p < 0.01) in the real-world. There were significant age effects for MET/VMET scores (F(1,32) = 19.77, p < 0.0001) and total time (F(1,32) = 11.74, p < 0.05) indicating better performance of the younger group, and a significant environment effect for navigation efficiency (F(1,32) = 7.6, p < 0.01) that was more efficient in the virtual environment. Conclusions This comprehensive, ecological approach in the measurement of performance during tasks reminiscent of complex life situations showed the strengths of using virtual environments in assessing cognitive aspects and limitations of assessing motor aspects of performance. Difficulties by older adults were apparent mainly in the cognitive aspects indicating a need to evaluate them during complex task performance.


1999 ◽  
Vol 138 (3) ◽  
pp. 567-576 ◽  
Author(s):  
Phyllis K. Stein ◽  
Ali A. Ehsani ◽  
Peter P. Domitrovich ◽  
Robert E. Kleiger ◽  
Jeffrey N. Rottman

2012 ◽  
Vol 8 (1) ◽  
pp. 41-46 ◽  
Author(s):  
H.C. Manso Filho ◽  
H.E.C.C.C. Manso ◽  
K.H. McKeever ◽  
S.R.R. Duarte ◽  
J.M.G. Abreu

In order to understand how gaited horses use their energy during exercise, a standardised field gaited test (SFGT) was developed to assess energy expenditure of four beat gaited horses independently of size, sex or breed. This work aimed at developing such an SFGT, using as main measurement parameter the heart rate (HR) of horses during the SFGT performance. Thirty-one four beat gaited horses were evaluated and divided into two groups: FIT (conditioned) and UNFIT (not conditioned). Horses were submitted to the SFGT and their heart rates were measured with a heart rate monitor as follows: right after being mounted, at the beginning of pre-test (HRSADDLE); at 5, 10, 15, 20, 25 and 30 minutes of four beat gait dislocation; and at 15 minutes after the recovery period (T+15). Maximum HR (HRMAX); HR percentage over 150 beats per minute (HR%≯150), HR percentage over 170 beats per minute (HR%≯170), and average HR during the four beat gait stage (HRM@M) of SFGT were calculated. Results were analysed by ANOVA for repeated measures. Where significant differences were observed, ‘T’ test was performed and significance was set at 5%. The FIT group presented HRMAX, HR+15, HRM@M, HR%≯150 and HR%≯170 rates lower (P<0.05) than the UNFIT group. It was noted that there was a negative correlation between fitness and HRMAX (R=−0.67; P<0.001) and a positive correlation between HRMAX and HR+15 (R=0.60; P<0.001) when comparing the FIT to the UNFIT horses. In conclusion, during the SFGT, the FIT group was more efficient in energy expenditure than the UNFIT group, based on the results observed for the significantly lower HRs during the SFGT. It is relevant to note that the SFGT developed and used in this research, which was easily reproduced and accurate, was able to detect and confirm important adaptations related to fitness in the athletic horse.


2018 ◽  
Vol 210 ◽  
pp. 01006
Author(s):  
Miguel G. Molina ◽  
Priscila E. Garzón ◽  
Carolina J. Molina ◽  
Juan X. Nicola

With the uprising of Internet of Things (IoT) networks, new applications have taken advantage of this new concept. Having all devices and all people connected 24/7 have several advantages in a variated amount of disciplines. One of them is medicine and the e-health concept. The possibility of having a real time lecture of the vital signs of people can prevent a live threat situation. This paper describes the realization of a device capable of measuring the heart rate of a person and checking for abnormalities that may negatively affect the patient’s well-being. This project will make use of electronic devices known as microcontrollers, specifically from the Arduino family, enabling us to capture data, and, with the help of a network card and a RJ-45 cable, transfer it to a PC and visualize the heart rate in real time over its assigned IP address.


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