| Title |
Blood Pressure Drop Prediction by using HRV Measurements in Orthostatic Hypotension
|
|---|---|
| Published in |
Journal of Medical Systems, September 2015
|
| DOI | 10.1007/s10916-015-0292-5 |
| Pubmed ID | |
| Authors |
Giovanna Sannino, Paolo Melillo, Saverio Stranges, Giuseppe De Pietro, Leandro Pecchia |
| Abstract |
Orthostatic Hypotension is defined as a reduction of systolic and diastolic blood pressure within 3 minutes of standing, and may cause dizziness and loss of balance. Orthostatic Hypotension has been considered an important risk factor for falls since 1960. This paper presents a model to predict the systolic blood pressure drop due to orthostatic hypotension, relying on heart rate variability measurements extracted from 5 minute ECGs recorded before standing. This model was developed and validated with the leave-one-out cross-validation technique involving 10 healthy subjects, and finally tested with an additional 5 healthy subjects, whose data were not used during the training and cross-validation process. The results show that the model predicts correctly the systolic blood pressure drop in 80 % of all experiments, with an error rate below the measurement error of a sphygmomanometer digital device. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 12% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Professor | 3 | 5% |
| Other | 12 | 21% |
| Unknown | 19 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 21% |
| Engineering | 5 | 9% |
| Nursing and Health Professions | 3 | 5% |
| Sports and Recreations | 3 | 5% |
| Psychology | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 26 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 September 2015.
All research outputs
#20,290,425
of 22,826,360 outputs
Outputs from Journal of Medical Systems
#999
of 1,149 outputs
Outputs of similar age
#224,875
of 267,706 outputs
Outputs of similar age from Journal of Medical Systems
#29
of 41 outputs
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