Sensor system for non-invasive optical hemoglobin determination

Timm, U.; McGrath, Denise; Lewis, Elfed; Kraitl, J.; Ewald, Hartmut

doi:10.1109/icsens.2009.5398321

Cited by 15 publications

(10 citation statements)

References 6 publications

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“…At the same time, in order to increase the sensitivity of Hb detection, the wavelength interval should be selected as small as possible in a region where the absorption coefficient changes drastically, and the wavelength interval can be slightly larger in a region where the variation is blunt. erefore, we eventually developed the probe sensor, which consists of eight LEDs with wavelengths from 610 nm to 940 nm, is capable of deriving eight channels of PPG signals with sufficiently high speed, and is different from previous studies in the choice of wavelength [11][12][13][14][15][16][17][18][19].…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, whether it is a commercial product or a prototype of laboratory research, the wavelengths of LED light sources for Hb monitoring devices are not exactly the same and have their own characteristics. According to the previous studies, the number of wavelengths for LEDs used for noninvasive Hb detection ranges from two to nine, while the wavelength range covers substantially 660 nm to 1348 nm [11][12][13][14][15][16][17][18][19]. In fact, the choice of wavelength range is very important.…”

Section: Discussionmentioning

confidence: 99%

“…Suzaki et al applied pulse spectrophotometry at seven wavelengths to develop a noninvasive, continuous, and highly accurate instrument, which showed potential for measuring tHb [11]. Based on the PPG method, Timm et al used three wavelengths to design the optical sensor system to measure the Hb concentration, pulse, and oxygenation [1,12]. Soon afterward their improved sensor system was able to determine Hb level by using the water absorption coefficient above 1150 nm [13].…”

Section: Introductionmentioning

confidence: 99%

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Development and Validation of a Photoplethysmography System for Noninvasive Monitoring of Hemoglobin Concentration

Liu

Peng

et al. 2020

Journal of Electrical and Computer Engineering

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Background. Traditional invasive hemoglobin (Hb) detection led to delayed diagnosis, operational inefficiency, incorrect critical decision making, and uncomfortable patient experience. To facilitate real-time total hemoglobin (tHb) monitoring, a portable prototype of a noninvasive Hb detection system was developed, and the accuracy of Hb predicted based on partial least squares (PLS) as well as backpropagation artificial neural network (BP-ANN) models was validated. Results. The prototype was combined with a signal processing circuit and a spectrophotometric probe containing 8 wavelength LEDs light source and photodiode array. Laboratory invasive Hb (Lab_tHb) and spot check Hb measurements with PLS (SpHb_PLS) and BP (SpHb_BP) methods were obtained simultaneously by hematology analyzer and the designed system. The invasive and noninvasive estimates of the Hb levels were analyzed using Spearman correlation as well as Bland–Altman plot and receiver operating characteristic (ROC) curve analysis. A total of 238 volunteers had attempted laboratory invasive and noninvasive spot check Hb measurements. Mean Lab_tHb, SpHb_PLS, and SpHb_BP were 13.6 ± 1.80 g/dL, 13.5 ± 1.07 g/dL, and 13.6 ± 1.06 g/dL, respectively. Noninvasive SpHb_PLS (r = 0.61, p<0.001) and SpHb_BP (r = 0.62, p<0.001) had a strong correlation with invasive tHb values. The Bland–Altman plot showed excellent consistency between the proposed noninvasive methods and laboratory invasive reference. In ROC analysis, PLS and BP models were good at predicting Hb ≥ 12 g/dL with area under the curve of 0.828 and 0.824, respectively. Observed differences between invasive and noninvasive Hb measurements displayed no significant correlation with perfusion index values. Conclusions. The result confirmed that noninvasive Hb monitoring had an excellent correlation with traditional invasive Hb measurement. Furthermore, it is suggested that the developed prototype has the potential for the noninvasive detection of Hb concentration with the methods of PLS and BP-ANN.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development and Validation of a Photoplethysmography System for Noninvasive Monitoring of Hemoglobin Concentration

Liu

Peng

et al. 2020

Journal of Electrical and Computer Engineering

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“…(4)). Hb concentration measurement comes from a non-invasive hemoglobin concentration measuring device like in [41,42]. Data of daily a posteriori estimates of ( ) k ECW + and ( ) k ICW + will come from ODI's ICPS ORI FIT-MET™.…”

Section: Icps Medical Software 31 Description Of the Process Modelsmentioning

confidence: 99%

Integrated Cyber-Physical System to Support Early Diagnosis and Prevention of Prediabetes and Complications of Type 2 Diabetes

Őri¹

2021

Type 2 Diabetes - From Pathophysiology to Cyber Systems

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Dietary and exercise interventions are the mainstay of prevention, and they constitute important part in the treatment of type 2 diabetes (DM2) and its complications. Automated, continuous, individualized non-invasive measurement of pathological processes leading to DM2 and complications are needed in terms of self-explaining metrics for improved individualized lifestyle management. Our company, the Ori Diagnostic Instruments, LLC is using tools of Medical Cybernetics (MC) to monitor non-invasive indicators of insulin resistance, exercise capacity, and autonomic dysfunction. The MC approach utilizes mathematical process and measurement models which are connected to a wearable sensor system. This chapter has the purpose to show how already widely available information technologies like smart phones, cloud computing, and sensor devices of the fitness industry could be put together into an integrated cyber-physical system (ICPS) to support fitness goals like fighting cardiometabolic conditions including high insulin resistance and low level of cardiorespiratory fitness and help building resilience with improved physiological reserve capacity. We want to demonstrate also how ICPS can be not only used for fitness self-management but can be extended to become a platform of noninvasive monitoring devices and become a medical software to support person-centered, outcome driven treatments for DM2 and complications in primary care.

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“…The light is allowed to pass through the finger and transmitted light is detected by photo diode.the principle of measurement is depend on the notable absorption and transmission difference of light in near infrared /red region between oxygenated [HbO2] and reduced hemoglobin [HHb].Furtherly it uses Beer Lamberts Law . [7] U.Timm et al developed an non invasive sensor system for the haemoglobin measurement ,pulse and oxygen saturation which is depend on multispectral measurement method .It is based on the radiation of monochromatic light emitted by LED in the range of 600 to 1100nm [8] Nishtha Nagar et al proposed an invasive method for blood detection within a short span of time. The fibre optic cables play a dominant role in this method.…”

Section: Blood Group Measurement Using Light Emitting Diodementioning

confidence: 99%

Blood Group Measurement using Light Emitting Diode

Rubi*,

Srividhya,

Keerthana

et al. 2019

IJRTE

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Blood grouping is basically the categorization of blood based on the presence or absence of antigens and antibodies present on the surface of the Red Blood Cells (RBC’s).The most common and most important type of blood type classification system is ABO system and the Rh system. The ABO system includes blood types like A, B, AB, and O group. This identification system plays a major role during transmission and transfusion of blood. The major risk involved in blood transfusion is getting the wrong blood type by accident. A recent survey shows that for every 1 million units of blood transfused, getting the wrong blood type happens, at the most, 4 times. Transfusion with the wrong blood type can lead to a severe reaction that may be life-threatening. The existing method involves a standard procedure in which blood is drawn from the patient’s body by pricking the finger with a needle or by using a syringe. The shortcomings of this method are addition of chemical reagents, hassle for patients and time of operation is more. The present proposal involves a prickless technique for blood group detection. This proposal presents a novel method for non invasive and instantaneous blood group measurement using the transmittance and reflectance property of light emitting diode. The proposed method aims to design a small and compact prototype which would be efficient and effective than the existing methods. Moreover it would be designed at a very low cost and provide comfort to the patients as well.

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Sensor system for non-invasive optical hemoglobin determination

Cited by 15 publications

References 6 publications

Development and Validation of a Photoplethysmography System for Noninvasive Monitoring of Hemoglobin Concentration

Development and Validation of a Photoplethysmography System for Noninvasive Monitoring of Hemoglobin Concentration

Integrated Cyber-Physical System to Support Early Diagnosis and Prevention of Prediabetes and Complications of Type 2 Diabetes

Blood Group Measurement using Light Emitting Diode

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