scholarly journals A novel deep learning based automatic auscultatory method to measure blood pressure

2019 ◽  
Vol 128 ◽  
pp. 71-78 ◽  
Author(s):  
Fan Pan ◽  
Peiyu He ◽  
Fei Chen ◽  
Jing Zhang ◽  
He Wang ◽  
...  
2015 ◽  
Vol 9 (4) ◽  
pp. e47-e48
Author(s):  
Jinho Shin ◽  
Sung Yong Choi ◽  
Young Hyo Lim ◽  
Bo Youl Choi ◽  
Kyung Won Oh ◽  
...  

2019 ◽  
Vol 2 (3) ◽  
pp. 206-214
Author(s):  
Putri Indes Oktabriani ◽  
Fuad Ughi ◽  
Aulia Arif Iskandar

The continuous blood pressure measurement research is widely known for helpingthe development of ambulatory blood pressure monitoring where it measures blood pressureevery 15 to 30 minutes throughout the day. The cuff is a problem for the patient withAmbulatory Blood Pressure Monitor. It can make a person feel uncomfortable and must staystill when the cuff starts to inflate. It is limiting and disturbing their daily activity when thedevice is starting to measure the blood pressure. Blood pressure measurement without cuff isbeing proposed in this research, called cuff-less blood pressure measurement. It will be based onPhotoplethysmography (PPG) and Electrocardiography (ECG) signal analysis. ECG (Lead 1,Lead 2, and Lead 3) with PPG signal produced from index finger on the left hand are comparedand analyzed. Then the relation of PPG and ECG signal and the optimum location for daily usecan be obtained. The optimum location will be based on the electrode’s position that producedthe optimum ECG lead Signal to measure blood pressure. Based on the result, PPG and ECGsignal have a linear relation with Blood Pressure Measurement and Lead 1 is more stable inproducing the ECG signal. The equation from Lead 1 appeared as one of the optimum equationsfor measuring Systolic Blood Pressure (SBP) or Diastolic Blood Pressure (DBP).


2021 ◽  
Vol 53 (2) ◽  
Author(s):  
Sen Yang ◽  
Yaping Zhang ◽  
Siu-Yeung Cho ◽  
Ricardo Correia ◽  
Stephen P. Morgan

AbstractConventional blood pressure (BP) measurement methods have different drawbacks such as being invasive, cuff-based or requiring manual operations. There is significant interest in the development of non-invasive, cuff-less and continual BP measurement based on physiological measurement. However, in these methods, extracting features from signals is challenging in the presence of noise or signal distortion. When using machine learning, errors in feature extraction result in errors in BP estimation, therefore, this study explores the use of raw signals as a direct input to a deep learning model. To enable comparison with the traditional machine learning models which use features from the photoplethysmogram and electrocardiogram, a hybrid deep learning model that utilises both raw signals and physical characteristics (age, height, weight and gender) is developed. This hybrid model performs best in terms of both diastolic BP (DBP) and systolic BP (SBP) with the mean absolute error being 3.23 ± 4.75 mmHg and 4.43 ± 6.09 mmHg respectively. DBP and SBP meet the Grade A and Grade B performance requirements of the British Hypertension Society respectively.


Author(s):  
Annunziata Paviglianiti ◽  
Vincenzo Randazzo ◽  
Stefano Villata ◽  
Giansalvo Cirrincione ◽  
Eros Pasero

AbstractContinuous vital signal monitoring is becoming more relevant in preventing diseases that afflict a large part of the world’s population; for this reason, healthcare equipment should be easy to wear and simple to use. Non-intrusive and non-invasive detection methods are a basic requirement for wearable medical devices, especially when these are used in sports applications or by the elderly for self-monitoring. Arterial blood pressure (ABP) is an essential physiological parameter for health monitoring. Most blood pressure measurement devices determine the systolic and diastolic arterial blood pressure through the inflation and the deflation of a cuff. This technique is uncomfortable for the user and may result in anxiety, and consequently affect the blood pressure and its measurement. The purpose of this paper is the continuous measurement of the ABP through a cuffless, non-intrusive approach. The approach of this paper is based on deep learning techniques where several neural networks are used to infer ABP, starting from photoplethysmogram (PPG) and electrocardiogram (ECG) signals. The ABP was predicted first by utilizing only PPG and then by using both PPG and ECG. Convolutional neural networks (ResNet and WaveNet) and recurrent neural networks (LSTM) were compared and analyzed for the regression task. Results show that the use of the ECG has resulted in improved performance for every proposed configuration. The best performing configuration was obtained with a ResNet followed by three LSTM layers: this led to a mean absolute error (MAE) of 4.118 mmHg on and 2.228 mmHg on systolic and diastolic blood pressures, respectively. The results comply with the American National Standards of the Association for the Advancement of Medical Instrumentation. ECG, PPG, and ABP measurements were extracted from the MIMIC database, which contains clinical signal data reflecting real measurements. The results were validated on a custom dataset created at Neuronica Lab, Politecnico di Torino.


Author(s):  
Annina S. Vischer ◽  
Thenral Socrates ◽  
Clemens Winterhalder ◽  
Jens Eckstein ◽  
Michael Mayr ◽  
...  

2001 ◽  
Vol 6 (5) ◽  
pp. 257-262 ◽  
Author(s):  
William Gerin ◽  
Rose Merie Marion ◽  
Richard Friedman ◽  
Gary D. James ◽  
Dana H. Bovbjerg ◽  
...  

Author(s):  
Riska Putri Meiyana ◽  
Cornelia Dede Yoshima Nekada ◽  
Adi Sucipto

Abstrak Terapi komplementer merupakan salah satu alternatif untuk mengatasi masalah kesehatan. Hidroterapi dan relaksasi Benson merupakan terapi komplementer yang efektif terhadap tekanan darah dan nadi, namun masih jarang masyarakat yang memanfaatkannya. Diketahui ada pengaruh kombinasi hidroterapi dan relaksasi Benson (disebut hidroson) terhadap tekanan darah dan nadi. Metode penelitian pra-eksperimen, pre- and post- design dengan teknik purposive sampel pada 32 responden usia 26-65 tahun. Penelitian dilakukan dari tanggal 1-18 Maret 2019 di RT 19 dan 20, Sungapan V Desa Wahyuharjo, Kecamatan Lendah, Kabupaten Kulon Progo dengan tiap responden diberikan intervensi selama 3 hari berturut-turut. Instrumen yang digunakan adalah sphygmomanometer digital untuk mengukur tekanan darah dan nadi 5 menit sebelum dan sesudah pemberian terapi. Tekanan darah dianalisis dengan wilcoxon test dan paired t-test untuk nadi. Hasil analisis menunjukkan tekanan darah sistolik sebelum terapi sebesar 118,25 mmHg dan setelah terapi sebesar 111,00 mmHg, sehingga disimpulkan terjadi penurunan sebesar 7,25 mmHg dengan ρ Value 0,0001. Tekanan darah diastolik sebelum terapi sebesar 81,25 mmHg dan setelah terapi sebesar 78,75 mmHg, sehingga disimpulkan terjadi penurunan sebesar 2,50 mmHg dengan ρ value 0,002. Nadi sebelum terapi sebesar 82,30 x/menit dan setelah terapi sebesar 80,64 x/menit, sehingga disimpulkan terjadi penurunan sebesar 1,66 x/menit dengan ρ value 0,003. Ada pengaruh yang signifikan terhadap pemberian kombinasi hidroterapi dan relaksasi Benson (hidroson) terhadap penurunan tekanan darah dan nadi di RT 19 dan 20, Sungapan V. Kata kunci: hidroterapi, Relaksasi Benson, tekanan darah, nadi Abstract Complementary therapy is one alternative to solving health problems. Hydrotherapy and Benson's relaxation are effective complementary therapies for blood pressure and pulse, but still few patients utilize it. There is a known effect of hydrotherapy and Benson relaxation combination (called hydrosol) on blood pressure and pulse. The study method was pre-experimental with pre and post design with a purposive sampling technique on 32 respondents aged 26-65 years. The study was conducted from 1-18 March 2019 in neighborhood 19 and 20, Sungapan V, Wahyuharjo Village, Lendah District, Kulon Progo. Regency Each respondent was given intervention with hydrosol therapy for 3 consecutive days. The instrument used was a digital sphygmomanometer to measure blood pressure and pulse 5 minutes before and after the administration of therapy. Blood pressure was analyzed by the Wilcoxon test while pulsing by paired t-test. The analysis showed that systolic blood pressure before therapy was 118.25 mmHg and after therapy became 111,00 mmHg, so there was a decrease of 7,25 mmHg with a p-value of 0,0001. The diastolic blood pressure before treatment was 81,25 mmHg and after therapy became 78,75 mmHg, so there was a decrease of 2,50 mmHg with a p-value of 0,002 mm. The pulse before therapy was 82,30 x / min and after therapy became 80,64 x / min, so there was a decrease of 1,66 x / min with ρ-value 0,003. There is a significant effect of giving a combination of hydrotherapy and Benson relaxation (hydrosol) on reducing blood pressure and pulse among 32 subjects in neighborhood 19 and 20, Sungapan V. Keywords: hydrotherapy, Benson Relaxation, blood pressure, pulse


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