Monitoring pad for pain associated rumination of tumor patient at home
By integrating pressure, sound, and motion sensors into a monitoring pad, the system identifies and gently intervenes in the rumination of pain in cancer patients, addressing the challenges of monitoring and intervening in their home-based pain rumination and improving their quality of life.
Patent Information
- Application Number
- CN202511545117.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-28
- Publication Date
- 2026-01-23
AI Technical Summary
Current technologies lack monitoring and intervention devices for pain-related rumination in cancer patients at home, making it impossible to accurately identify specific behavioral patterns triggered by pain, leading to a vicious cycle of rumination that affects patients' quality of life and confidence in treatment.
A home-based pain-related rumination monitoring pad for cancer patients was designed, integrating a pressure distribution sensor, a miniature sound sensor, and a body movement frequency sensor. Through multimodal fusion, the pad identifies the state of rumination thought episodes and allows for gentle intervention via a bedside intervention terminal and a mobile app to break the vicious cycle.
Accurately identify rumination, break the vicious cycle of pain and rumination through gentle interventions, improve patients' quality of life at home, reduce sleep disorders and anxiety, and provide support for family members.
Smart Images

Figure CN121370168A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to a monitoring pad, in particular to a monitoring pad for monitoring the pain-related rumination of tumor patients at home. BACKGROUND
[0002] During the home recovery process, tumor patients often suffer from chronic pain, such as pain caused by bone metastasis and postoperative pain. Long-term pain not only affects the physical condition of patients, but also easily triggers rumination, i.e., patients repeatedly worry about whether the pain means that the disease is worsening or whether the treatment is ineffective. This rumination can further exacerbate the patient's anxiety and depression, forming a vicious cycle of "pain triggering rumination -> emotional deterioration -> increased pain perception", which seriously affects the patient's quality of life and treatment confidence. There is currently a lack of effective equipment on the market specifically for monitoring and intervening in the pain-related rumination of tumor patients at home. Traditional sleep monitoring pads or health monitoring devices cannot accurately identify the specific behavior patterns of tumor patients triggered by pain, and cannot meet the needs of this special group. Therefore, there is an urgent need for a monitoring pad for tumor patients at home to address the above problems. SUMMARY
[0003] In view of the problems existing in the prior art, the present application provides a monitoring pad for tumor patients at home, which can accurately identify the onset state of rumination by monitoring and analyzing the characteristic behaviors of tumor patients caused by pain, and take timely and effective intervention measures to break the vicious cycle of pain and rumination, while providing information support for family members and improving the quality of life of patients at home.
[0004] The technical solution of the present application is: a monitoring pad for tumor patients at home, comprising a monitoring pad body, a bedside intervention terminal and a mobile phone APP.
[0005] The monitoring pad body comprises a fabric layer on the top, a sensor array layer in the middle and a medical-grade memory foam cushion support layer on the bottom.
[0006] The sensor array layer comprises a pressure distribution sensor, a miniature sound sensor, a body movement frequency sensor and corresponding processing and communication modules.
[0007] The pressure distribution sensor is distributed in the middle of the pad body corresponding to the patient's waist and hip area, and is a 16-point array piezoelectric film sensor. The sampling rate of the pressure distribution sensor is 1 Hz, and the pressure detection range is 0-50 N.
[0008] The miniature sound sensor is arranged at the edge of the pad body close to the head, and can focus on 20-500Hz low-frequency sound.
[0009] The body movement frequency sensor includes a 3-axis acceleration sensor arranged at four corners of the pad body, which can detect the number of body movements per second;
[0010] The processing and communication module collects information data of the pressure distribution sensor, the micro sound sensor and the body movement frequency sensor in real time, processes and judges whether it is in the rumination thinking attack state, and transmits the processing result to the bedside intervention terminal and the mobile phone APP in real time.
[0011] Further, the processing and judging whether it is in the rumination thinking attack state are specifically as follows:
[0012] Only when all the following conditions are met, it is determined to be in the rumination thinking attack state:
[0013] Condition one, the pressure distribution sensor detects at least a second threshold number of pressure changes within a first threshold time, and the single pressure peak is greater than 10N;
[0014] Condition two, the micro sound sensor captures at least a third threshold number of low-frequency sounds lasting more than a fourth threshold time;
[0015] Condition three, the body movement frequency sensor detects that the body movement frequency is greater than a fifth threshold number / minute, and the data detected by the body movement frequency sensor is irregular.
[0016] Further, during the sleep period of 22:00-6:00 at night, the detection threshold of the micro sound sensor is automatically increased, and the body movement frequency threshold is automatically reduced.
[0017] Further, the bedside intervention terminal is equipped with an LED indicator light and a micro speaker; when receiving the rumination thinking attack signal sent by the monitoring pad, the following operations are automatically performed: the LED light gradually changes to warm yellow, providing visual comfort; playing preset audio, the audio content is the pain management instructions recorded by the attending physician, the current pain is the normal reaction of drug effect or the soft soothing words recorded by the family in advance.
[0018] Further, the bedside intervention terminal is also equipped with a aromatherapy module, which automatically releases low-concentration lavender essential oil vapor when receiving the rumination thinking attack signal sent by the monitoring pad. It plays a role in soothing emotions, while avoiding stimulating the sensitive respiratory tract of patients after chemotherapy.
[0019] Further, the mobile phone APP can receive the rumination risk reminder information pushed by the monitoring pad, and the reminder content includes the time of rumination thinking triggering and a simple description of the behavior characteristics; the mobile phone APP can remotely trigger the bedside intervention terminal to play custom audio. Such as the soothing words "I will be there soon".
[0020] Further, the mobile phone APP provides a near sixth threshold time rumination onset frequency curve. The family members can assist the medical staff to evaluate the pain management effect of the patient.
[0021] Further, the fabric layer is a breathable anti-mite knitted fabric layer.
[0022] Further, the length of the monitoring pad is 110-130 cm, the width is 50-70 cm, the thickness of the medical-grade memory foam buffer support layer is 1.5-2.5 cm, and the corners of the monitoring pad are rounded.
[0023] Further, the micro sound sensor is an omnidirectional microphone.
[0024] The present application has the beneficial effects that a tumor patient home pain associated rumination monitoring pad is provided, the characteristic behaviors of tumor patients due to pain are monitored and analyzed, the rumination thinking onset state can be accurately identified, and timely and effective intervention measures are taken to break the vicious cycle of pain and rumination thinking, information support is provided for family members, and the home life quality of patients is improved.
[0025] Precise identification: through multi-modal fusion of the pressure distribution sensor, the micro sound sensor and the body motion frequency sensor, the specific behavior mode of the tumor patient triggered by pain can be accurately captured, and compared with ordinary monitoring equipment, the accuracy of identification is greatly improved.
[0026] Mild intervention: after identifying the onset of rumination thinking, the warm yellow light, preset audio and aromatherapy of the bedside intervention terminal and other low intervention measures are used to gently interrupt the rumination thinking of the patient, and the anxiety of the patient is avoided due to the sudden stimulation.
[0027] Family support: the family members can know the rumination thinking onset of the patient in time through the mobile phone APP, and can participate in the process of pacifying the patient remotely, provide emotional support for the patient, and provide data reference for the medical staff to evaluate the patient's condition.
[0028] Improving the quality of life: effectively breaking the vicious cycle of pain and rumination thinking, reducing the problems such as sleep disorders and decreased treatment confidence of the patient caused by rumination, and significantly improving the home life quality of the tumor patient. BRIEF DESCRIPTION OF DRAWINGS
[0029] Figure 1 It is a whole structure schematic diagram of the home pain associated rumination monitoring pad.
[0030] Figure 2 It is a schematic diagram of the sensor array in the pad body.
[0031] Figure 3The communication architecture diagram between the monitoring pad and the bedside intervention terminal and the family mobile phone APP is shown in the figure.
[0032] In the figure: 1 is a fabric layer, 2 is a sensor array layer, 3 is a medical-grade memory foam cushion support layer, 4 is a bedside intervention terminal, 5 is a mobile phone APP, 21 is a pressure distribution sensor, 22 is a miniature sound sensor, and 23 is a body movement frequency sensor. DETAILED DESCRIPTION
[0033] The application will be further described below with reference to the accompanying drawings.
[0034] (1) Main structure
[0035] Pad design: The overall size of the monitoring pad is 120 cm x 60 cm, which can be adapted to a single sofa or a local part of a mattress. The pad is divided into three layers, the uppermost layer is a breathable anti-mite knitted fabric layer 1, which directly contacts the patient's body to ensure comfort and reduce skin irritation; the middle layer is a sensor array layer 2, which integrates multiple sensors using a flexible circuit board; the bottom layer is a 2 cm thick medical-grade memory foam cushion support layer 3, which conforms to the body curve, disperses pressure, and prevents pressure ulcers. The edges of the pad are rounded to avoid bumps for the patient.
[0036] Sensor layout:
[0037] Pressure distribution sensor 21: In the middle part of the pad corresponding to the patient's waist and hips, a 16-point array piezoelectric film sensor is installed. The sampling rate of this sensor is 1 Hz, the pressure detection range is 0-50N, and it can accurately monitor the amplitude and frequency of limb movement, and determine whether the patient is frequently turning by detecting pressure changes.
[0038] Miniature sound sensor 22: An omnidirectional microphone is set as a miniature sound sensor at the edge of the pad near the head. This sensor uses a noise reduction algorithm to filter environmental noise and focus on 20-500Hz low-frequency sound to capture the patient's low-frequency groan, sigh or painful sound.
[0039] Body movement frequency sensor 23: Three-axis acceleration sensors are installed at the four corners of the pad to assist in determining the overall limb tension of the patient, and to distinguish between painful restlessness and normal turning by detecting the number of body movements per second.
[0040] (2) Processing and communication module
[0041] Edge computing unit: A low-power STM32L series MCU chip is built-in to process the data collected by the sensor in real time locally. An algorithm specially designed for tumor patient pain-related rumination thinking recognition is run to avoid data upload delay and ensure the timeliness and privacy of data processing.
[0042] Communication module: integrated Bluetooth 5.0 module for short-range communication with the intervention terminal placed at the bedside; at the same time, equipped with Wi-Fi module, through the home router and the family's mobile phone APP to realize data interaction. The device supports offline storage of 7 days of data to prevent data loss in case of network interruption.
[0043] Power supply module: uses a rechargeable lithium battery with a capacity of 5000mAh, supports Type-C interface charging. After a full charge, the battery life is not less than 14 days, reducing the burden of frequent charging for patients. When the battery is low, the bedside intervention terminal reminds the family to charge in time.
[0044] (3) Ruminative state recognition algorithm
[0045] Multi-parameter fusion judgment: only when the following multiple conditions are met, it is determined that the ruminative thinking attack state is:
[0046] Within 10 minutes, the pressure distribution sensor detects at least 5 times of obvious pressure changes, and the single pressure peak is greater than 10N (excluding slight adjustment of posture).
[0047] At the same time, the miniature sound sensor captures at least 2 times of low-frequency sound lasting more than 2 seconds (consistent with the characteristics of moaning / sighing).
[0048] The body motion frequency sensor detects that the body motion frequency is greater than 3 times / minute, and the movement is irregular (different from the purposeful activity such as drinking water, going to the toilet, etc.).
[0049] False alarm filtering mechanism: if a large amplitude body motion (such as getting up and going to bed, etc. normal activity) is detected for more than 5 seconds, the recognition is automatically suspended for 10 minutes to exclude the interference of normal activity on ruminative thinking recognition; during the sleep period of 22:00-6:00 at night, the sensitivity of the sound sensor is automatically increased (considering that pain usually worsens at night), while the body motion frequency threshold is appropriately reduced (because tossing and turning in sleep is more likely to be related to pain).
[0050] (4) Bedside intervention terminal 4
[0051] Appearance and function: designed as a palm-sized desktop terminal, which can be placed at the bedside of the patient. The terminal is equipped with soft LED indicator light and miniature loudspeaker. When receiving the ruminative thinking attack signal sent by the monitoring pad, the following operations are automatically executed: the LED light gradually changes to warm yellow, providing visual comfort; playing preset audio, the audio content includes the pain management instructions recorded by the attending physician, professional explanations such as the current pain is a normal reaction of drug efficacy, etc. It can also be the soft soothing words recorded in advance by the family members; the terminal can also be equipped with a aromatherapy module to release low-concentration lavender essential oil vapor to relieve emotions, while avoiding stimulating the sensitive respiratory tract of patients after chemotherapy.
[0052] (5) Family linkage system
[0053] Family mobile phone APP 5 functions: family members download a special APP through a mobile phone, which can receive the rumination risk reminder information pushed by the monitoring pad. The reminder content includes the time of rumination thinking triggering and a simple description of the behavior characteristics, such as "20:15 detected frequent tossing + sighing". Family members can remotely trigger the terminal to play custom audio on the APP, such as temporarily recorded "I will come to you soon" and other soothing words. In addition, the APP also provides a rumination frequency curve for nearly 7 days, which facilitates family members to assist medical staff in evaluating the effect of pain management of patients.
[0054] Privacy protection: all behavior data collected by the monitoring pad are stored locally, and only encrypted reminder information is pushed to the family APP. No original sound or pressure data will be uploaded, fully protecting the privacy and safety of patients.
[0055] Example 1
[0056] (I) Production and manufacturing
[0057] 1. According to the design size and structure requirements, select breathable anti-mite knitted fabric and medical-grade memory foam that meet medical standards to make the pad body. Ensure that the fabric and memory foam are tightly attached without wrinkles and foreign body sensation.
[0058] 2. On the flexible circuit board, precisely weld the pressure distribution sensor, micro sound sensor and body motion frequency sensor to form a sensor array module. Embed this module in the middle layer of the pad body, pay attention to the orientation and position of the sensors to ensure accurate data collection.
[0059] 3. Install the edge computing unit with an STM32L series MCU chip, a Bluetooth 5.0 module, a Wi-Fi module and a rechargeable lithium battery, and perform circuit connection and packaging to ensure stable communication between modules and safe and reliable power supply.
[0060] 4. Perform comprehensive testing on the completed monitoring pad, including sensor data collection accuracy, edge computing unit algorithm stability, communication module connection reliability, and battery endurance.
[0061] (II) Method of use
[0062] 1. Place the monitoring pad on a single sofa or a local part of the mattress where the patient rests regularly to ensure that the pad body is flat without curling or folding.
[0063] 2. During the patient's rest, the monitoring pad starts working, and the sensors collect real-time pressure, sound and body motion data of the patient.
[0064] 3、Edge computing unit analyzes the collected data according to the preset rumination state recognition algorithm. When it is determined that the rumination thinking attack state occurs, it sends a signal to the bedside intervention terminal through Bluetooth.
[0065] 4、After receiving the signal, the bedside intervention terminal automatically starts the warm yellow light, plays the preset audio, and if equipped with an aromatherapy module, releases lavender essential oil vapor at the same time.
[0066] 5、The monitoring pad sends the rumination risk reminder information to the family mobile phone APP through Wi-Fi. The family can take appropriate measures according to the reminder content, such as communicating with the patient and checking the historical attack data.
[0067] (Three) Maintenance
[0068] 1、Regularly use a clean damp cloth to wipe the knitted surface of the monitoring pad. Avoid using irritating cleaning agents to prevent damage to the fabric and sensors.
[0069] 2、Every so often (such as once a month), conduct a comprehensive test of the monitoring pad, including the sensitivity of the sensor, the connection status of the communication module, and the endurance of the battery. If problems are found, repair or replace the parts in a timely manner.
[0070] 3、When the battery level is less than 20%, charge the monitoring pad in time using the Type-C charger to avoid excessive discharge affecting the battery life.
[0071] The above is only the preferred embodiment of the present application. It should be noted that for ordinary skilled persons in the art, without departing from the principles of the present application, several improvements and refinements can be made, which should also be considered within the scope of protection of the present application.
Claims
1. A monitoring pad for home use in a cancer patient for pain associated rumination, characterized in that: The monitoring pad body, a bedside intervention terminal (4) and a mobile phone APP (5) are included. The monitoring pad body comprises a top fabric layer (1), a middle sensor array layer (2) and a bottom medical-grade memory foam cushion support layer (3). The sensor array layer (2) comprises a pressure distribution sensor (21), a miniature sound sensor (22), a body movement frequency sensor (23) and corresponding processing and communication modules. The pressure distribution sensor (21) is distributed in the middle of the pad body corresponding to the patient's waist and hip area, and is a 16-point array piezoelectric film sensor. The sampling rate of the pressure distribution sensor (21) is 1 Hz, and the pressure detection range is 0-50 N. The miniature sound sensor (22) is arranged at the edge of the pad body close to the head and can focus on 20-500 Hz low-frequency sound. The body movement frequency sensor (23) comprises a 3-axis acceleration sensor arranged at the four corners of the pad body and can detect the number of body movements per second. The processing and communication module collects and processes the information data of the pressure distribution sensor (21), the miniature sound sensor (22) and the body movement frequency sensor (23) in real time to determine whether the patient is in a rumination thinking attack state, and transmits the processing result to the bedside intervention terminal (4) and the mobile phone APP (5) in real time.
2. The monitoring pad for home use in cancer patients with pain-related rumination according to claim 1, characterized in that, The specific method of determining whether the patient is in a rumination thinking attack state is as follows: Only when all the following conditions are met, it is determined that the patient is in a rumination thinking attack state: Condition one: the pressure distribution sensor detects at least a second threshold number of pressure changes within a first threshold time, and the single pressure peak value is greater than 10 N; Condition two: the miniature sound sensor captures at least a third threshold number of low-frequency sounds lasting more than a fourth threshold time; Condition three: the body movement frequency sensor detects that the body movement frequency is greater than a fifth threshold number of times per minute, and the data detected by the body movement frequency sensor is irregular.
3. The monitoring pad for home use in cancer patients for pain associated rumination according to claim 2, characterized in that: During the sleep period of 22:00-6:00 at night, the detection threshold of the miniature sound sensor is automatically increased, and the body movement frequency threshold is automatically reduced.
4. The monitoring pad for home use in cancer patients for pain associated rumination according to claim 1, characterized in that: The bedside intervention terminal (4) is equipped with an LED indicator light and a miniature loudspeaker. When receiving the rumination thinking attack signal sent by the monitoring pad, the following operations are automatically performed: the LED light gradually changes to warm yellow to provide visual comfort; preset audio is played, and the audio content is a pain management instruction recorded by the attending physician, that the current pain is a normal reaction of drug effect, or a soft soothing speech recorded by the family member in advance.
5. The monitoring pad for home use in cancer patients for pain associated rumination according to claim 4, characterized in that: The bedside intervention terminal (4) is also equipped with an aromatherapy module, which automatically releases low-concentration lavender essential oil vapor when receiving the rumination thinking attack signal sent by the monitoring pad.
6. The monitoring pad for home use in cancer patients for pain associated rumination according to claim 1, characterized in that: The mobile phone APP (5) can receive the rumination risk reminder information pushed by the monitoring pad, and the reminder content includes the time of rumination thinking triggering and a brief description of the behavior characteristics. The mobile phone APP (5) can remotely trigger the bedside intervention terminal (4) to play the customized audio.
7. The monitoring pad for home use in cancer patients for pain associated rumination according to claim 6, characterized in that: The mobile phone APP (5) provides a rumination attack frequency curve within a sixth threshold time.
8. The monitoring pad for home use in cancer patients for pain associated rumination according to claim 1, characterized in that: The fabric layer (1) is a breathable and anti-mite knitted fabric layer.
9. The monitoring pad for home use in cancer patients for pain associated rumination according to claim 1, characterized in that: The monitoring pad has a length of 110-130 cm and a width of 50-70 cm; the medical-grade memory cotton buffer support layer (3) has a thickness of 1.5-2.5 cm; and the corners of the monitoring pad are rounded.
10. The monitoring pad for home use in cancer patients for pain associated rumination according to claim 1, characterized in that: The micro sound sensor (22) is an omnidirectional microphone.