PLEURAL EFFUSION PRE-SCREENING SYSTEM
20230233173 · 2023-07-27
Inventors
- Gee Han PNG (Singapore, SG)
- Yaolong LOU (Singapore, SG)
- Aaron A. AYU (Singapore, SG)
- Kok Boon R. ONG (Singapore, SG)
- Karen MULLERY (St. Paul, MN, US)
- Susan E. MALARET (Chanhassen, MN, US)
- Stacey REULAND (St. Paul, MN, US)
- Eng Keong TAY (Singapore, SG)
- Chau Chong YE (Singapore, SG)
- Justin LIEW (Singapore, SG)
- Baoyi WU (Singapore, SG)
Cpc classification
A61B5/7246
HUMAN NECESSITIES
International classification
Abstract
A pleural effusion pre-screening system may be used to administer a percussive treatment to a patient's chest and/or back, sense the respiratory sounds from the percussive treatment, and analyze those respiratory sounds. The pleural effusion pre-screening system may have a high frequency chest wall oscillation (HFCWO) vest which includes at least one adjustable strap.
Claims
1. A pleural effusion pre-screening system comprising: a garment wearable by a patient, a first percussion device secured to the garment and positioned in a predetermined location relative to the body of the patient, a first sensor secured to the garment and positioned in the predetermined location relative to the body of the patient, and a controller including a processor and a memory device including instructions that, when executed by the processor, activates the first sensor to begin recording sound data from the patient's respiratory system, activates the first percussion device to simulate manual chest tapping, collects sound data from the patient's respiratory system, and sends the sound data to a post processing feature.
2. The pleural effusion pre-screening system of claim 1, wherein the sensor is a sound transducer.
3. The pleural effusion pre-screening system of claim 1, wherein the sensor is a microphone.
4. The pleural effusion pre-screening system of claim 1, wherein the sensor is a digital stethoscope.
5. The pleural effusion pre-screening system of claim 1, further comprising a plurality of percussion devices and a plurality of sensors associated with each of the percussion devices.
6. The pleural effusion pre-screening system of claim 5, wherein the memory device includes further instructions that, when executed by the processor, activates a second sensor to begin recording sound data from the patient's respiratory system, activates a second percussion device to simulate manual chest tapping, collect sound data from the patient's respiratory system, deactivates the second sensor and the second percussion device, and sends the sound data from the second sensor to a post processing feature.
7. The pleural effusion pre-screening system of claim 5, wherein the memory device includes further instructions that, when executed by the processor, sequentially activates each additional sensor to begin recording sound data from the patient's respiratory system, activates an additional percussion device associated with the respective additional sensor to simulate manual chest tapping, collects sound data from the patient's respiratory system, deactivates the additional sensor and the additional percussion device, and sends the sound data from the additional sensor to a post processing feature.
8. The pleural effusion pre-screening system of claim 7, wherein the memory device includes further instructions that, when executed by the processor, processes the sound data to extract sound features, classifies the sound features, compares the classified sound features to threshold settings, and, based on the comparison of the sound features to the threshold settings, predicts the likelihood that the patient is experiencing pleural effusion.
9. The pleural effusion pre-screening system of claim 6, wherein the memory device includes further instructions that, when executed by the processor, processes the sound data to extract sound features, classifies the sound features, compares the classified sound features to threshold settings, and, based on the comparison of the sound features to the threshold settings, predicts the likelihood that the patient is experiencing pleural effusion.
10. The pleural effusion pre-screening system of claim 6, wherein the memory device includes further instructions that, when executed by the processor, applies a digital signal filter to the sound data prior to performing the extraction of sound features.
11. A high frequency chest wall oscillation (HFCWO) system comprising an adjustable garment configured to be positioned on a patient, at least one first percussion device positioned on a first side of the garment, and at least one second percussion device positioned on a second side of the garment, wherein the garment is adjustable between a first position locating the first and second percussion devices to target an upper zone of the patient's lungs and a second position locating the first and second percussion devices to target a lower zone of the patient's lungs.
12. The HFCWO system of claim 11, wherein the first and second percussion devices are operable to vary the power delivered to the patient's lungs such that a first power can be delivered at each respective zone.
13. The HFCWO system of claim 12, wherein the adjustable garment includes an adjustable strap.
14. The HFCWO system of claim 13, wherein the adjustable strap comprises at least one adjustable shoulder strap and at least one adjustable underarm strap.
15. The HFCWO system of claim 14, further comprising a sensor associated with each respective percussion device, and a controller including a processor and a memory device including instructions that, when executed by the processor, sequentially and independently activates each sensor to begin recording sound data from the patient's respiratory system, activates the percussion device associated with the respective sensor to simulate manual chest tapping, collects sound data from the patient's respiratory system, deactivates the additional sensor and the additional percussion device, repeats the sequential and independent activation of the sensor, respective percussion device, data collection and deactivation of the sensor and respective percussion device for each set of sensors and percussion devices, and sends the sound data from the additional sensor to a post processing feature.
16. The HFCWO system of claim 15, wherein the memory device includes further instructions that, when executed by the processor, processes the sound data to extract sound features, classifies the sound features, compares the classified sound features to threshold settings, and, based on the comparison of the sound features to the threshold settings, predicts the likelihood that the patient is experiencing pleural effusion.
17. The HFCWO system of claim 16, wherein the memory device includes further instructions that, when executed by the processor, applies a digital signal filter to the sound data prior to performing the extraction of sound features.
18. The HFCWO system of claim 15, wherein the memory device includes further instructions that, when executed by the processor, applies a digital signal filter to the sound data prior to performing the extraction of sound features.
19. The HFCWO system of claim 11, wherein the percussion devices administer a therapy force of no more than 18 Newton at a frequency no more than 20 Hertz.
20. The HFCWO system of claim 11, wherein the therapy force is administered at a range of 3 to 18 Newton and the frequency of the therapy force is at a range of 5 to 20 Hertz.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0046] The detailed description particularly refers to the accompanying figures in which:
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DETAILED DESCRIPTION
[0059] Generally, healthy persons can expectorate their normal build-up of mucous, phlegm, and/or the like within their respiratory systems. Sufferers of excessive respiratory build-up and/or reduce expectoration capacity can require assistance in properly freeing such build-up from respiratory systems. Physically freeing, dislodging, and/or loosening the build-up can assist in proper expectoration.
[0060] Percussive therapy can effectively assist proper expectoration in an efficient and comfortable manner. Percussive therapy includes repeated percussive force to the patient to physically assist dislodging of the build-up. Manual percussive force should be performed only by a trained practitioner and can be physically demanding to the practitioner. Moreover, percussive force can be tiring and/or uncomfortable to the patient. Efficient and precise administration of percussive force can improve the patient's comfort and endurance in receiving percussion therapy and can improve the effectiveness of percussion therapy to dislodge build-up.
[0061] In the illustrative embodiment of
[0062] A challenge with typical HFCWO therapy is that the devices used must accommodate patients of varying sizes. It has been discovered that in many patients, including those who are treated for bronchiectasis, the impulse force delivered by a particular percussive device 30 may be reduced, thereby reducing costs and the weight of the vest 10. In particular, it has been determined that a reduction in the size of the voice coil actuator 40 used may result in a sufficiently effective HFCWO therapy for patients with bronchiectasis with a corresponding 40% reduction in weight. This is achieved with a therapy that delivers an impulse pulse force of between 3-18 Newton (N) in steps of 3 N. This is significantly reduced from the typical HFCWO therapy system that delivers 25 N of impulse force. The HFCWO therapy for treatment of bronchiectasis delivers impulse forces at a frequency of 5-20 Hz in increments of 1 Hz, allowing the therapy to be tailored to the needs of the specific patient.
[0063] In some embodiments, the garment 12 may further comprise an adjustable strap, described below in
[0064] The positioning of the garment 12 is illustratively shown in
[0065] In understanding HFCWO therapy, it is important to understand the interaction between the delivery of HFCWO by various percussive devices 30 and the overall impact on the effectiveness of the therapy. In one empirical study, it has been determined that the influence of the percussive devices 30 varies by their position. An overview of target vibration zones 24 is depicted in
[0066] It is also important to understand that the energy (e) transferred from the chest wall to the lung bronchi at a time (t may be evaluated by integrating the power delivered to the bronchi as follows:
e(t)=∫.sub.0.sup.tP(τ)τdτ=P.sub.mt where P.sub.m=mean power
Therefore, the energy required to provide a specific level of therapy can be achieved by either a higher power for a shorter time, or a lower power for a longer time. For example, the energy transferred E by a therapy power P.sub.m for a time T can be equivalently achieved by two therapies of half power P.sub.m/2 for time 2T In addition, a lower power at a longer time could be more comfortable for patients than with a higher power for a shorter time. Based on these findings, it has been determined that a new approach to HFCWO therapy may be appropriate for some patients.
[0067] To that end,
[0068] In this way, the HFCWO therapy delivered by the system 200 may be tailored for a specific patient by delivering therapy targeted to target vibration zone 24a and 24b only, or by delivering therapy in the first position for a first period of time and in the second position for a second period of time. Based on the variations of the impact of the location of therapy on the patient's mean pulse respiratory flow, the first period of time and the second period of time may be varied to achieve a particular therapeutic benefit.
[0069] As shown in
[0070] An overview of a control system 90 of the pre-screening pleural effusion system is depicted in
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[0072] Upon initialization, the recording cycle 54 includes activating sensor 40 to begin sound signal measurements at step 56. At step 58, a percussive device 30 is activated and at step 60 the respective percussive device 30 is operated in a manner that simulates manual chest tapping. At step 62, the sound signal measurement data from the sensor 40 is collected. The sensor 40 and percussive device 30 are then deactivated at step 64. As noted on the flow chart of
[0073] At step 66, the data collected from the recording cycle 54 is collected and provided to a post processing feature 55. In some embodiments, the sound signals may be pre-processed applying various digital signal processing techniques known in the art. Sound features 68 are extracted at step 68. Those sound features are then classified at step 70. The classification can be accomplished through machine learning or through traditional discriminate analysis. The classified sound features are compared to threshold settings at step 72.
[0074] Based on the comparison to the threshold values, a likelihood of the presence of pleural effusion is established at step 74. The likelihood of the presence of pleural effusion is then communicated to the caregiver by a user interface 80. Various approaches to lung sound processing, classification, and threshold comparisons are provided in: Oletic, Dinko, et al. “Low-Power Wearable Respiratory Sound Sensing.” Sensors, vol. 14, no. 4, 2014, pp. 6535-6566., https://doi.org/10.3390/s140406535; Khan, Sibghatullah I. “Respiratory Sound Analysis for Identifying Lung Diseases: A Review”, International Journal of Science and Research (IJSR), Volume 3 Issue 11, November 2014, pp. 566-571.; Palaniappan, Rajkumar, et al. “Machine Learning in Lung Sound Analysis: A Systematic Review.” Biocybernetics and Biomedical Engineering, vol. 33, no. 3, 2013, pp. 129-135., https://doi.org/10.1016/j.bbe.2013.07.001; H. Wang, et al. “Lung sound/noise separation in anesthesia respiratory monitoring.” WSEAS Transactions on Systems, Vol. 3, June 2004, pp. 1839-1844.; and Gurung, Arati, et al. “Computerized Lung Sound Analysis as Diagnostic Aid for the Detection of Abnormal Lung Sounds: A Systematic Review and Meta-Analysis.” Respiratory Medicine, vol. 105, no. 9, 2011, pp. 1396-1403., https://doi.org/10.1016/j.rmed.2011.05.007.
[0075] Although this disclosure refers to specific embodiments, it will be understood by those skilled in the art that various changes in form and detail may be made without departing from the subject matter set forth in the accompanying claims.