Biosensors in healthcare: an overview
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This chapter reviews the history of biosensors, its principles, materials used, and its application in glucose monitoring and respiratory airflow monitoring. Chapter Contents: 14.1 Introduction 14.2 Monitoring principles: transducers 14.3 Diabetes and the need for glucose monitoring 14.4 Biosensor for monitoring glucose 14.5 Historical perspectives of glucose biosensors 14.5.1 First generation of glucose biosensor 14.5.2 Second generation of glucose biosensors 14.5.3 Third generation of glucose biosensors 14.5.4 Continuous glucose monitoring systems 14.5.5 Noninvasive glucose monitoring system 14.6 Respiratory airflow monitoring sensor 14.6.1 Pressure and acoustic sensing devices 14.6.2 Thermal flow sensors 14.6.3 Humidity sensors 14.6.4 CO2 sensors 14.6.5 Indirect sensors 14.6.6 Torso devices 14.6.7 Magnetometry 14.6.8 Respiratory inductance plethysmograph 14.6.9 Strain gauge 14.6.10 Transthoracic impedance plethysmograph 14.6.11 Electrocardiographic sensor 14.6.12 Electromyographic sensors 14.6.13 Photoplethysmographic sensor 14.7 Conclusion References Inspec keywords: biomedical equipment; patient monitoring; biochemistry; biosensors; health care; sugar; pneumodynamics Other keywords: glucose monitoring; healthcare; respiratory airflow monitoring; biosensors Subjects: Physical chemistry of biomolecular solutions and condensed states; Biosensors; Haemodynamics, pneumodynamics; Biomedical measurement and imaging; Biosensors; Biomedical engineering
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it