MouthLab: A Tricorder Concept Optimized for Rapid Medical Assessment

The goal of rapid medical assessment (RMA) is to estimate the general health of a patient during an emergency room or a doctor’s office visit, or even while the patient is at home. Currently the devices used during RMA are typically “all-in-one” vital signs monitors. They require time, effort and expertise to attach various sensors to the body. A device optimized for RMA should instead require little effort or expertise to operate and be able to rapidly obtain and consolidate as much information as possible. MouthLab is a battery powered hand-held device intended to acquire and evaluate many measurements such as non-invasive blood sugar, saliva and respiratory biochemistry. Our initial prototype acquires standard vital signs: pulse rate (PR), breathing rate (BR), temperature (T), blood oxygen saturation (SpO2), blood pressure (BP), and a three-lead electrocardiogram. In our clinical study we tested the device performance against the measurements obtained with a standard patient monitor. 52 people participated in the study. The measurement errors were as follows: PR: −1.7 ± 3.5 BPM, BR: 0.4 ± 2.4 BPM, T: −0.4 ± 1.24 °F, SpO2: −0.6 ± 1.7%. BP systolic: −1.8 ± 12 mmHg, BP diastolic: 0.6 ± 8 mmHg. We have shown that RMA can be easily performed non-invasively by patients with no prior training.

[1]  S. Hyakin,et al.  Neural Networks: A Comprehensive Foundation , 1994 .

[2]  T. Togawa,et al.  Continuous estimation of systolic blood pressure using the pulse arrival time and intermittent calibration , 2000, Medical and Biological Engineering and Computing.

[3]  R. Nagler,et al.  Relationship of flow rate, uric acid, peroxidase, and superoxide dismutase activity levels with complications in diabetic patients: can saliva be used to diagnose diabetes? , 2007, Antioxidants & redox signaling.

[4]  Gilwon Yoon,et al.  Non-constrained Blood Pressure Monitoring Using ECG and PPG for Personal Healthcare , 2009, Journal of Medical Systems.

[5]  Lutz Heinemann,et al.  Non-invasive glucose monitoring in patients with Type 1 diabetes: a Multisensor system combining sensors for dielectric and optical characterisation of skin. , 2009, Biosensors & bioelectronics.

[6]  J. Handler,et al.  The importance of accurate blood pressure measurement. , 2009, The Permanente journal.

[7]  Peter Beyerlein,et al.  Diagnostic potential of saliva: current state and future applications. , 2011, Clinical chemistry.

[8]  Changyun Wen,et al.  Continuous and Noninvasive Measurement of Systolic and Diastolic Blood Pressure by One Mathematical Model with the Same Model Parameters and Two Separate Pulse Wave Velocities , 2011, Annals of Biomedical Engineering.

[9]  M. Elliott,et al.  Critical care: the eight vital signs of patient monitoring. , 2012, British journal of nursing.

[10]  S. K. Vashist Non-invasive glucose monitoring technology in diabetes management: a review. , 2012, Analytica chimica acta.

[11]  Gregorio López,et al.  A Review on Architectures and Communications Technologies for Wearable Health-Monitoring Systems , 2012, Sensors.

[12]  R. Zenobi,et al.  Analysis of the exhalome: a diagnostic tool of the future. , 2013, Chest.

[13]  Amy Loutfi,et al.  Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges , 2013, Sensors.

[14]  Emylene Untalan,et al.  The Accuracy, Precision and Reliability of Measuring Ventilatory Rate and Detecting Ventilatory Pause by Rainbow Acoustic Monitoring and Capnometry , 2013, Anesthesia and analgesia.

[15]  P. Nair,et al.  Update on clinical inflammometry for the management of airway diseases. , 2013, Canadian respiratory journal.

[16]  Juliane Junker,et al.  Medical Instrumentation Application And Design , 2016 .