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A Comparative Clinical Trial of the TensorTip, a Novel Non Invasive Device for Measurement Blood Parameters

A Comparative Clinical Trial to Assess the Accuracy of the TensorTip, a Novel Non Invasive Device for the Measurement of Physiological and Blood Chemistry Parameters

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01196533
Enrollment
94
Registered
2010-09-08
Start date
2010-08-31
Completion date
2014-08-31
Last updated
2019-01-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anemia, Diabetes, Heart Disease, High Blood Pressure, Hypotension, Metabolic Diseases, Respiratory Diseases

Brief summary

1. Aim: The aim of the clinical trial is to study the accuracy of the TensorTip device compared with registered (FDA-approved) invasive and non-invasive devices. 2. Hypothesis: Human physiological biomarkers may be measured from the color distribution of the internal or external (skin) tissue. The technology of the TensorTip finger-mounted device is based on the color distribution of the peripheral blood tissue, which enables the measurement of certain biomarkers and vital signs under consideration.

Detailed description

The TensorTip (previously named Soft Touch) is a novel non invasive Finger tip device that. The Tensor Tip is a non-invasive device which was designed and aimed to measure a wide range of physiological and bio-parameters such as blood glucose, hemoglobin and hematocrit, blood PH, oxygen saturation SpO2, blood carbon dioxide, blood pressure, peripheral pulse and more based on the temporarily color distribution of the tissue under consideration. The Tensor Tip is based on real time color image sensor, real time photographing the fingertip tissue. A color image sensor of the type used in the Tensor Tip enables a wide range of information in the spectral, resolution, dynamic range and time domains enabling further investigation of the blood chromatic changes as a function body physiology. The concept behind this investigation reflects the idea that a change in human physiology condition would temporarily change the blood pigmentation. The present study is aimed to assess the accuracy of the novel device in measuring all the above mentioned parameters by recording AS IS the change of the fingertip color tissue while simultaneous recording the standard invasive measured parameters on daily or periodic routine in the hospitalized patients. This vast data recordings (tissue and references) enable the Tensor tip to analyze a particular bio parameter. The tensor tip is calibrated to a certain bio parameter based on the vast data set collected. The bio parameter under consideration are: Arterial Systolic and Diastolic, MAP, PA systolic, PA Diastolic, CO, Heart rate, Stroke volume, WBC, RBC, Hgb, HCT ,Iron, PLT, PH, PCO2, PO2, HCO3, SaO2 , Na, K, Cl, CO2, Bun, Cr, Gluc, HGB (A1C),TBiLi, LDL, HDL. This study hopes to demonstrate the connection between blood color pigmentation and certain bio parameters for simplifying monitoring procedure and particular home monitoring.

Interventions

DEVICENon invasive peripheral blood monitoring

non invasive monitoring

Sponsors

Cnoga Medical Ltd.
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1. Male or female, age \> 18 2. Patients with cardiovascular disease and/or with diabetes mellitus type I or II and/or with COPD. 3. Patients receiving coronary artery bypass with or without valve repair. 4. Able to sign an informed consent.

Exclusion criteria

1. Refusal to sign an informed consent and to participate in the study. 2. Participant plans to enroll in another other clinical trial of an investigational agent while participating in this study. 3. Below the age of 18.

Design outcomes

Primary

MeasureTime frameDescription
Comparison of the TensorTip Accuracy Against Hospital Periodical Readings.one yearTo validate the parameters with similar measures obtained with standard invasive techniques in hospitalized patients. Methodology: Eligible real time color signal obtained by the TensorTip shall be recorded simultaneously during the monitoring performed. An algorithm shall be designed according to the blood color distribution to each parameter and a final test shall be recorded signals. Statistical analysis for each parameter shall perform on the entire eligible recorded signals. Determination of Accuracy: Err = √(1/N ∑N (Ref(k)-NewDevice(k)) \^2 ) (k=1) For each parameter a satisfactory result is considered when Err satisfies the industry requirement. Results viewing Each parameter comparative study shall be presented on a (X,Y) plan versus a regression line where X - represents the results measured by TensorTip and Y - the reference results.

Countries

United States

Participant flow

Recruitment details

during 2009

Participants by arm

ArmCount
Non Invasive Monitoring
single group of hospitalized cardiovascular patients
94
Total94

Baseline characteristics

CharacteristicNon Invasive Monitoring
Age, Continuous51.5 years
Region of Enrollment
United States
94 participants
Sex/Gender, Customized
Female
49 Participants
Sex/Gender, Customized
Male
45 Participants
Sex/Gender, Customized
number of participants
94 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
— / —
other
Total, other adverse events
0 / 94
serious
Total, serious adverse events
0 / 94

Outcome results

Primary

Comparison of the TensorTip Accuracy Against Hospital Periodical Readings.

To validate the parameters with similar measures obtained with standard invasive techniques in hospitalized patients. Methodology: Eligible real time color signal obtained by the TensorTip shall be recorded simultaneously during the monitoring performed. An algorithm shall be designed according to the blood color distribution to each parameter and a final test shall be recorded signals. Statistical analysis for each parameter shall perform on the entire eligible recorded signals. Determination of Accuracy: Err = √(1/N ∑N (Ref(k)-NewDevice(k)) \^2 ) (k=1) For each parameter a satisfactory result is considered when Err satisfies the industry requirement. Results viewing Each parameter comparative study shall be presented on a (X,Y) plan versus a regression line where X - represents the results measured by TensorTip and Y - the reference results.

Time frame: one year

ArmMeasureGroupValue (NUMBER)
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.pulse0.6 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.Blood Pressure-systolic7.9 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.Blood Pressure-diastolic7.5 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.Spo22.33 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.PO25.99 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.PCO25.3 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.MAP6.67 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.Hemoglobin8.9 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.cardiac output26.9 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.Hematocrit3.8 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.RBC4 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.O21.15 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.CO24.75 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.Stroke volume26.9 percentage of error
Non Invasive MonitoringComparison of the TensorTip Accuracy Against Hospital Periodical Readings.pH0.03 percentage of error

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026