Ultrasound sensors and its application in human heart rate monitoring
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
Noninvasive wearable human health monitoring devices are developed to improve the comfort, convenience, and security of humans in their life. Ultrasound technology has been used for imaging the human body for over half a century. In this study, the use of ultrasound as a wearable device for human health monitoring is introduced. This work investigates analysis of the heart motions for heart rate extraction. Experimental results showed promising performance of the proposed method in reference to an electrocardiogram device. A low power and low complexity hardware prototype is designed to measure the Time Of Flight (TOF) and amplitude of reflected ultrasound signals generated by piezo sensors at 1 MHz (nominally), under design considerations for safety issues of intensity exposure defined by FDA. This type of a wearable human-interactive device represents a promising platform not only for heart rate measurement but also for more feasible features such as respiration rate. A new technique is applied to minimize the signal processing time and ensure the device response correctness.
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) | 0.000 | 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 | 0.000 | 0.000 |
| 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