Intelligent health monitoring walking shoes with physiological parameter monitoring function

Abstract

This invention discloses a multi-sensor fusion intelligent health monitoring shoe, belonging to the field of wearable health monitoring technology. It includes a shoe body, a multi-dimensional sensor array on the sole, a main control processing unit, a wireless communication module, an energy storage and power supply module, a human-computer interaction unit, and a cloud platform. The sensor array collects signals such as foot pressure, gait, heart rate, blood oxygen, body temperature, microcirculation, and posture; the main control unit uses fusion algorithms and AI models to perform data processing and risk identification; the wireless module enables interaction between the terminal and the cloud. This invention can continuously and non-invasively monitor physiological parameters, analyze gait and posture, provide early warnings of falls and chronic disease risks, and protect against sports injuries. It solves the problems of existing intelligent shoes, such as single monitoring, poor comfort, insufficient accuracy, and lack of active intervention. It has the advantages of being wearable without being noticeable, low power consumption, high reliability, and medical-grade accuracy, and is suitable for comprehensive health management scenarios such as daily life, elderly care, sports, and rehabilitation.

Description

Technical Field

[0001] This invention relates to the field of walking shoe technology, specifically to an intelligent health monitoring walking shoe with physiological parameter monitoring function. Background Technology

[0002] With an aging population and increased health awareness, wearable health monitoring devices are rapidly gaining popularity. However, existing smart shoes generally suffer from the following drawbacks: 1) The monitoring dimensions are limited, only achieving step count / gait, and cannot simultaneously acquire key physiological indicators such as heart rate, blood oxygen, blood pressure trend, blood sugar trend, microcirculation, and edema; 2) The foot sensor layout is unreasonable, making it prone to pressure displacement, signal interference, and poor long-term wearing comfort; 3) Lack of closed-loop algorithm and risk warning; only data collection without health assessment. 4) High power consumption and short battery life; does not support 24-hour continuous monitoring. 5) There is a lack of specific identification models for diabetic foot, falls, sports injuries, and cardiovascular risks. Summary of the Invention

[0003] The technical problem to be solved by this invention is to overcome the above-mentioned technical defects.

[0004] To solve the above problems, the technical solution of the present invention is: an intelligent health monitoring walking shoe with physiological parameter monitoring function, including a shoe body, a multi-dimensional sensor array on the sole, a main control processing unit, a wireless communication module, an energy storage power supply module, a human-computer interaction unit, and a cloud health management platform; The multi-dimensional foot sensor array is distributed between the midsole and outsole of the shoe and is used to collect foot pressure distribution, gait parameters, heart rate, blood oxygen, body temperature, microcirculation, temperature and humidity and posture signals. The main control processing unit is electrically connected to the sensor array, wireless communication module, energy storage power supply module, and human-machine interaction unit, and is used for signal processing, data fusion, anomaly identification, and control output. The wireless communication module is used to interact with terminal devices and cloud platforms to achieve remote monitoring and early warning push.

[0005] Furthermore, the foot-plant multi-dimensional sensing array includes: a flexible piezoresistive sensing unit, a PPG photoplethysmography sensing unit, a temperature sensing unit, a humidity sensing unit, a microcirculation sensing unit, and a six-axis attitude sensing unit.

[0006] Furthermore, the flexible piezoresistive sensing unit adopts a distributed layout of four zones: forefoot, midfoot, heel, and arch, to acquire parameters such as foot pressure center, gait cycle, cadence, stride length, balance ability, and lower limb load.

[0007] Further: The PPG photoplethysmography sensing unit is positioned at the corresponding location on the heel for non-invasive continuous monitoring of heart rate, heart rate variability, blood oxygen saturation, blood pressure trend, and vascular elasticity.

[0008] Furthermore, the main control processing unit incorporates a signal conditioning module, a data fusion algorithm module, an anomaly recognition model module, and a low-power control module to eliminate motion artifacts and improve monitoring accuracy.

[0009] Furthermore: the wireless communication module supports at least one of Bluetooth BLE, Wi-Fi, and NB-IoT.

[0010] One type enables data uploading, remote alarm, and location tracking.

[0011] Furthermore, the energy storage and power supply module includes a flexible lithium battery, a kinetic energy harvesting unit, and a wireless charging receiver unit, supporting long battery life and self-powered operation.

[0012] Furthermore, the human-computer interaction unit includes a vibration motor, LED indicator lights, and a voice prompt module for abnormal alerts, status feedback, and posture correction.

[0013] Furthermore, it can achieve at least one of the following functions: fall warning, heart rhythm abnormality warning, diabetic foot risk warning, sports injury warning, sedentary reminder, and sleep monitoring. It is suitable for daily health management, elderly safety monitoring, sports rehabilitation training, diabetic foot screening, and prevention and control of cardiovascular and cerebrovascular chronic diseases.

[0014] The advantages of this invention compared to existing technologies are: This invention provides multi-dimensional, comprehensive monitoring: simultaneously collecting four types of data—physiological, gait, foot, and safety—covering all scenarios from daily life to old age, exercise, and rehabilitation. Flexible and seamless wearable: The sensor is thin and integrated into the design, so it does not affect the shoe-wearing experience and is comfortable to wear for a long time. Medical-grade accuracy: Anti-motion interference algorithm, data accuracy close to that of medical equipment; Proactive health alerts: Real-time reminders for risks such as falls, heart rhythm abnormalities, diabetic foot, and sports injuries; Low power consumption and long battery life: Intelligent sleep mode + kinetic energy harvesting to meet 24-hour continuous monitoring; Closed-loop health management: Cloud-based analysis generates reports, providing intervention suggestions and remote monitoring. Attached Figure Description

[0015] Figure 1 This invention relates to a three-dimensional intelligent health monitoring walking shoe with physiological parameter monitoring function. Figure 1 .

[0016] Figure 2This invention relates to a three-dimensional intelligent health monitoring walking shoe with physiological parameter monitoring function. Figure 2 .

[0017] Figure 3 This invention relates to a three-dimensional intelligent health monitoring walking shoe with physiological parameter monitoring function. Figure 3 .

[0018] As shown in the figure: 1. Shoe body; 2. Multi-dimensional sensor array on the sole of the foot; 3. Main control processing unit. Detailed Implementation

[0019] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. Identical components are indicated by the same reference numerals.

[0020] It should be noted that the terms “front,” “back,” “left,” “right,” “up,” and “down” used in the following description refer to the directions shown in the attached diagram, while the terms “inside” and “outside” refer to the directions toward or away from the geometric center of a specific component, respectively.

[0021] To make the content of this invention easier to understand, the technical solutions in the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings.

[0022] like Figures 1 to 3 As shown, a smart health monitoring walking shoe with physiological parameter monitoring function consists of seven parts: the shoe body, a multi-dimensional sensor array on the sole, a main control processing unit, a wireless communication module, an energy storage and power supply module, a human-computer interaction unit, and a cloud-based health management platform. All hardware modules adopt a lightweight and flexible design and are embedded between the midsole and outsole of the shoe body, without changing the normal wearing shape of the shoe, without foreign body sensation, and suitable for wearing and using in all scenarios such as daily walking, jogging, standing, sitting for long periods of time, and sleeping.

[0023] The shoe body features a breathable and durable flyknit upper and a flexible cushioning midsole, balancing wearing comfort with hardware protection. This effectively cushions impacts during exercise, protects embedded sensors, and extends the lifespan of the devices. All electrical modules are electrically connected via flexible waterproof cables, providing overall water resistance suitable for everyday use, including rainy days and when washing.

[0024] The multi-dimensional foot sensor array is the core acquisition module of the device. It is distributed and attached to the bottom of the midsole of the shoe, fully covering the pressure and key monitoring areas of the foot. It includes a flexible piezoresistive sensing unit, a PPG photoplethysmography sensing unit, a temperature and humidity sensing unit, a microcirculation sensing unit, and a six-axis attitude sensing unit. Multiple sensors work together to acquire physiological parameters and motion posture parameters in all directions.

[0025] The flexible piezoresistive sensing unit adopts an independent layout of four zones: forefoot, midfoot, heel, and arch. These four sensors are evenly distributed across the core pressure-bearing areas of the foot, enabling real-time acquisition of plantar pressure distribution data during walking, standing, and movement. Data analysis accurately obtains key gait parameters such as foot pressure center offset, gait cycle, cadence, stride length, body balance coefficient, and lower limb load distribution, providing data support for gait abnormality screening, sports injury early warning, and analysis of uneven limb force distribution.

[0026] The PPG photoplethysmography (PPG) sensor unit is precisely fixed to the corresponding position on the heel of the shoe, conforming to the skin of the human heel. It adopts a non-invasive optical monitoring method and can continuously collect human blood flow fluctuation signals in real time. After optimization of the main control unit algorithm, it can stably output core physiological data such as heart rate, heart rate variability, blood oxygen saturation, blood pressure change trend, and foot vascular elasticity, solving the problems of traditional wrist-type monitoring devices such as large motion interference, wearing discomfort, and inability to monitor around the clock.

[0027] Temperature, humidity, and microcirculation sensing units are integrated into a concealed location on the inner side of the arch of the foot, fitting snugly against the skin of the foot. They can monitor the surface temperature of the foot, ambient humidity, and peripheral blood circulation in the foot in real time, accurately capturing subtle vital signs such as local temperature differences and changes in blood supply to the foot, providing core evidence for early risk screening of diabetic foot.

[0028] The six-axis attitude sensing unit is integrated in the center of the midfoot and includes a three-axis accelerometer and a three-axis gyroscope. It can collect data such as the inclination angle, angular velocity, motion displacement, and sudden changes in posture of the shoe in real time, and accurately identify different body postures and movement states such as standing, walking, running, squatting, falling, and sitting still for a long time.

[0029] The main control processing unit is the core of the equipment's control and data processing. It has built-in signal conditioning module, data fusion algorithm module, AI anomaly recognition model module, and low-power control module. It is electrically connected to all sensing units, communication modules, power supply modules, and human-machine interaction units to achieve overall equipment control and refined data processing.

[0030] During operation, the device first uses a signal conditioning module to filter and reduce noise, remove motion artifacts, and amplify the raw signals collected by each sensor. This effectively eliminates data errors caused by wearer movement, shaking, and environmental interference, significantly improving the accuracy and stability of the monitoring data. Subsequently, a data fusion algorithm module integrates and merges heterogeneous data from multiple dimensions, such as plantar pressure, physiological signs, posture, temperature, and humidity, to generate standardized and analyzable health data reports.

[0031] The specific judgment rules are as follows: (1) Heart rate abnormality warning: When the real-time heart rate is continuously greater than 100 beats / minute or less than 50 beats / minute, the system will immediately determine that the heart rhythm is abnormal and trigger the warning mechanism; (2) Blood oxygen abnormality warning: When blood oxygen saturation is consistently below 95%, it is determined to be insufficient blood oxygen, indicating the risk of abnormal cardiopulmonary oxygen supply; (3) Gait abnormality warning: By comparing the difference in left and right foot pressure distribution, balance coefficient, and gait cycle deviation, when the foot pressure asymmetry and body balance ability exceed the normal threshold, it is judged as gait abnormality, indicating problems such as uneven force on the lower limbs, joint strain, and postural imbalance. (4) Early warning of diabetic foot risk: When the temperature difference between the two sides of the foot is greater than 2°C, accompanied by a decrease in the microcirculation blood flow velocity of the foot and insufficient peripheral blood supply, it is determined to be an early risk of diabetic foot and a screening prompt is issued in advance. (5) Fall alarm judgment: When the six-axis attitude sensor captures the sudden change signal of attitude, and at the same time, the foot pressure sensor collects the instantaneous impact and pressure drop signal, the dual parameters are cross-verified to accurately determine the human body falling, and eliminate false alarms and missed alarms. Meanwhile, the low-power control module of the main control unit can automatically adjust the device's power consumption according to the wearer's status. It automatically enters the low-power monitoring mode when sitting still for a long time or sleeping at night, and automatically switches to the high-frequency acquisition mode when in motion, balancing monitoring accuracy and battery life.

[0032] In this embodiment, the wireless communication module integrates three communication methods: Bluetooth BLE, Wi-Fi, and NB-IoT, and can automatically switch to the optimal communication mode according to the usage scenario. In daily home scenarios, Bluetooth BLE is used first to pair with the mobile APP, enabling high-speed data transmission over short distances and low power consumption. In indoor fixed scenarios, Wi-Fi can be connected to achieve batch uploading of large amounts of data and real-time synchronization with the cloud. In outdoor scenarios without a local area network, NB-IoT Internet of Things communication is enabled, which is not limited by distance or location, and enables all-weather remote data transmission, location tracking, and abnormal early warning push.

[0033] Real-time physiological data, gait data, and device status data can be simultaneously uploaded to a mobile app and a cloud-based health management platform. Family members and attending physicians can remotely view the wearer's health status, historical monitoring data, and abnormal warning records in real time through the cloud backend or mobile app, enabling remote health monitoring and chronic disease management. When the device triggers high-risk warnings such as falls or abnormal heart rhythms, the communication module can immediately push warning information and the wearer's location information to associated terminals for rapid assistance.

[0034] The energy storage and power supply module uses a 3.7V flexible lithium battery as the core energy storage unit, which fits the curved structure of the shoe's midsole. It is compact, highly flexible, and does not affect the bending and wearing of the shoe. At the same time, it integrates a walking kinetic energy harvesting unit and a wireless charging receiving unit, forming a dual power supply mode of "wireless charging + self-generated power during exercise".

[0035] Daily charging can be completed seamlessly via the wireless charging dock, eliminating the need for plugging and unplugging cables. During walking and exercise, the kinetic energy harvesting unit captures the mechanical energy generated by the feet and converts it into electrical energy for storage, achieving self-sufficiency in energy. In a fully charged state, the device has a battery life of ≥7 days in normal daily monitoring mode, effectively solving the problems of frequent charging and insufficient battery life of traditional smart devices.

[0036] The human-machine interface unit integrates a miniature vibration motor, LED status indicator lights, and a voice prompt module to achieve multi-dimensional status feedback and anomaly alerts. When the device is working normally, the LED indicator light is constantly green, turns yellow when the battery is low, and turns red when a fault or anomaly warning is issued. When the system detects abnormal heart rhythm, gait imbalance, fall risk, or foot health abnormalities, the vibration motor will continuously vibrate to remind the wearer, while the voice module will broadcast anomaly alerts and corrective suggestions.

[0037] To address issues such as gait imbalance and poor posture, the device can provide timely voice correction reminders through real-time posture monitoring, helping wearers to standardize their walking posture, correct poor gait, and achieve both exercise posture correction and daily health intervention.

[0038] The device in this embodiment can simultaneously realize multiple functions such as automatic fall alarm, heart rhythm abnormality warning, early risk warning of diabetic foot, sports strain injury warning, sedentary fatigue reminder, nighttime sleep vital signs monitoring, gait correction, and remote health monitoring.

[0039] In elderly care scenarios, it can monitor the elderly's heart rate, blood oxygen, and walking status around the clock, accurately identify falls and automatically trigger alarms, effectively avoiding blind spots in the monitoring of elderly people living alone; in the health management of diabetic patients, it can achieve early screening of diabetic foot by long-term monitoring of foot temperature, microcirculation, and blood supply, and prevent complications such as foot ulcers and necrosis in advance; in sports rehabilitation scenarios, it can provide data support for postoperative rehabilitation training, exercise posture correction, and sports injury prevention by collecting gait parameters and lower limb load data; in the prevention and control of cardiovascular and cerebrovascular chronic diseases, it can continuously monitor heart rate, blood oxygen, and blood pressure trends to achieve dynamic monitoring and abnormal early warning of chronic diseases, providing objective data basis for doctors' diagnosis and treatment.

[0040] The present invention and its embodiments have been described above. This description is not restrictive, and the accompanying drawings are only one embodiment of the present invention; the actual structure is not limited thereto. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. A smart health monitoring walking shoe with physiological parameter monitoring function, characterized in that: It includes the shoe body (1), a multi-dimensional sensor array on the sole (2), a main control processing unit (3), a wireless communication module, an energy storage power supply module, a human-computer interaction unit, and a cloud-based health management platform; The foot multi-dimensional sensor array (2) is distributed between the midsole and outsole of the shoe and is used to collect foot pressure distribution, gait parameters, heart rate, blood oxygen, body temperature, microcirculation, temperature and humidity and posture signals; The main control processing unit (3) is electrically connected to the sensor array, wireless communication module, energy storage power supply module and human-machine interaction unit, and is used for signal processing, data fusion, anomaly identification and control output; The wireless communication module is used to interact with terminal devices and cloud platforms to achieve remote monitoring and early warning push.

2. The intelligent health monitoring walking shoe with physiological parameter monitoring function according to claim 1, characterized in that: The foot multidimensional sensing array (2) includes: a flexible piezoresistive sensing unit, a PPG photoplethysmography sensing unit, a temperature sensing unit, a humidity sensing unit, a microcirculation sensing unit, and a six-axis attitude sensing unit.

3. The intelligent health monitoring walking shoe with physiological parameter monitoring function according to claim 2, characterized in that: The flexible piezoresistive sensing unit adopts a distributed layout of four zones: forefoot, midfoot, heel, and arch, and is used to acquire parameters such as foot pressure center, gait cycle, cadence, stride length, balance ability, and lower limb load. 4.The smart health monitoring walking shoes with physiological parameter monitoring function according to claim 2, characterized in that: The PPG photoplethysmography sensing unit is positioned at the corresponding location on the heel and is used for non-invasive continuous monitoring of heart rate, heart rate variability, blood oxygen saturation, blood pressure trend, and vascular elasticity.

5. The intelligent health monitoring walking shoe with physiological parameter monitoring function according to claim 1, characterized in that: The main control processing unit (3) has a built-in signal conditioning module, data fusion algorithm module, anomaly recognition model module, and low power control module, which are used to eliminate motion artifacts and improve monitoring accuracy.

6. The intelligent health monitoring walking shoe with physiological parameter monitoring function according to claim 1, characterized in that: The wireless communication module supports at least one of Bluetooth BLE, Wi-Fi, and NB-IoT, enabling data uploading, remote alarm, and location tracking.

7. The intelligent health monitoring walking shoe with physiological parameter monitoring function according to claim 1, characterized in that: The energy storage and power supply module includes a flexible lithium battery, a kinetic energy harvesting unit, and a wireless charging receiver unit, supporting long battery life and self-powered operation.

8. The intelligent health monitoring walking shoe with physiological parameter monitoring function according to claim 1, characterized in that: The human-computer interaction unit includes a vibration motor, LED indicator lights, and a voice prompt module, which are used for abnormal reminders, status feedback, and posture correction.

9. The intelligent health monitoring walking shoe with physiological parameter monitoring function according to claim 1, characterized in that: It can achieve at least one of the following functions: fall warning, heart rhythm abnormality warning, diabetic foot risk warning, sports injury warning, sedentary reminder, and sleep monitoring. It is suitable for daily health management, elderly safety monitoring, sports rehabilitation training, diabetic foot screening, and prevention and control of cardiovascular and cerebrovascular chronic diseases.

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