TWI684431B - Detection system for detecting physiological abnormality of elder - Google Patents

Abstract

A detection system for detecting a physiological abnormality of an elder includes a pedometer device, a ring device, and a mobile device. The pedometer device is used for measuring the walk status of the elder and generating the pedometer data. The ring device is used for measuring the jitter status of the elder and generating the jitter data. The mobile device includes a judging module which is used for comparing the pedometer data with the predetermined pedometer data, thereby judging whether the elder has a physiological deterioration, and then comparing the jitter data with the predetermined jitter data, thereby judging whether the elder has a physiological abnormality, and a warning message is sent through the mobile device when judging that the elder has a physiological abnormality.

Description

Elderly physiological abnormality detection system

The invention relates to an elderly physiological abnormality detection system, in particular to an elderly physiological abnormality detection system that can quickly and accurately detect Parkinson's disease at an early stage.

According to current medical research, Parkinson's Disease is a degenerative disorder of the central system. Due to the lack of dopamine nerve conduction in the brain, patients gradually affected their motor and non-motor functions. In the early days of Parkinson's disease, patients can still maintain certain motor functions, but slowly various symptoms will emerge. The most common include Parkinson's jitter, slow movement, stiffness, and unstable posture.

At present, there are many detection methods for Parkinson's disease, such as detecting the number of walking steps of the elderly with a pedometer to determine whether there is Parkinson's disease. However, the number of walking steps of the elderly when the muscles and joints degenerate is close to that of Parkinson's disease. Therefore, only the number of walking steps of the elderly is detected to determine whether there is Parkinson's disease, which is very likely to cause misjudgment. Moreover, there is also the detection of Parkinson's disease by detecting the shaking of the elderly finger. However, the frequency of finger shaking in Essential Tremor is close to that of Parkinson’s. Therefore, only the jitter of the elderly’s fingers is detected to determine whether Parkinson’s is present or not, which is also very likely to cause misjudgment.

In view of this, the inventor has been engaged in the development and design of related products for many years, and feels that the above-mentioned deficiencies can be improved. It is especially devoted to research and cooperation with the application of academic principles. Finally, he proposes a reasonable design and effectively improves the above-mentioned deficiencies of the present invention.

The main purpose of the present invention is to provide an elderly physiological abnormality detection system to solve the above problems.

The invention discloses a physiological abnormality detection system for an elderly person, suitable for an elderly person, comprising: a pedometer device for measuring the walking condition of the elderly person's legs, correspondingly generating pedometer data, and transmitting it to a mobile device; and a finger ring The device is used for measuring the shaking state of the old man's finger, and correspondingly generating shaking data, and transmitting to the mobile device; wherein, the mobile device includes a judgment module, and the judgment module is used for comparing the step counting data with the predetermined meter Compare the step data to determine whether the old man has a physiological degeneration trend, and compare the jitter data with the predetermined jitter data when it is judged that the old man has a physiological degeneration trend, and then determine whether the old man has a physical abnormality Trends, and when it is determined that the old man has a physiological abnormal trend, an early warning message is sent through the mobile device.

Preferably, the step counting data includes at least the following data: walking steps, walking time, rest time, and the predetermined step counting data includes at least the following data: predetermined walking steps, predetermined walking time; wherein, the judgment module is to The number of walking steps is compared with the predetermined number of walking steps. When the number of walking steps is less than the predetermined number of walking steps, the walking time is compared with the predetermined walking time, and the walking time is compared. When it is longer than the predetermined walking time, it is judged that the old man has a tendency of physiological degradation.

Preferably, the jitter data includes at least the following data: jitter frequency and jitter amplitude, and the predetermined jitter data includes at least the following data: predetermined jitter frequency interval and predetermined jitter amplitude; wherein, the judgment module captures the rest time The jitter frequency is compared with the predetermined jitter frequency interval, and when it is found that the jitter frequency is in the predetermined jitter frequency interval, the jitter amplitude captured during the rest time is compared with the predetermined jitter amplitude, And when it is compared that the jitter amplitude is greater than the predetermined jitter amplitude, it is judged according to this that the old man has a physiological abnormality trend.

Preferably, the pedometer device includes a first communication module for The pedometer data of the walking condition of the old man's leg is transmitted to the mobile device; the ring device includes a second communication module for transmitting the jitter data corresponding to the jitter of the old man's finger to the action Device.

Preferably, the ring device includes a vibration module for correspondingly synchronous vibration according to the shaking state of the old man's finger.

Preferably, the elderly physiological abnormality detection system further includes: a voice capturing device for capturing the pronunciation of the larynx of the old man, correspondingly generating voice data and transmitting it to the mobile device; the judgment module is further used for The voice data is compared with the predetermined voice data to assist in judging whether the old man has a physiological abnormal trend.

Preferably, the judging module compares the voice signal features in the voice data with the voice signal features in the predetermined voice data, and the voice signal features extracted in the comparison belong to the predetermined voice data When the range of the voice signal characteristics, according to this help to determine that the old man has a physiological abnormal trend.

The invention discloses a method for detecting physiological abnormalities of the elderly, including the following steps: providing the above-mentioned physiological abnormality detecting system for the elderly; using the pedometer to measure the walking status of the elderly's legs, correspondingly generating pedometer data; using the ring device Measure the jitter of the old man’s fingers, and generate corresponding jitter data; use the mobile device to compare the pedometer data with the predetermined pedometer data, and then judge whether the old man has a physiological degeneration trend; if it is determined that the old man has For the physiological degradation trend, the mobile device is used to compare the jitter data with the predetermined jitter data to determine whether the old man has a physiological abnormal trend; and if it is determined that the old man has a physiological abnormal trend, a warning message is displayed.

Preferably, the step counting data includes at least the following data: walking steps, walking time, and rest time; the predetermined step counting data includes at least the following data: predetermined walking steps, predetermined walking time; wherein the mobile device is used to count The step data is compared with the scheduled step counting data. The step further includes: the number of walking steps and the scheduled walking Compare the number of steps. When the number of walking steps is less than the predetermined number of walking steps, compare the walking time with the predetermined walking time, and when the comparison shows that the walking time is greater than the predetermined walking time, Based on this, it is judged that the old man has a tendency of physiological degradation.

Preferably, the jitter data includes at least the following data: jitter frequency and jitter amplitude; the predetermined jitter data includes at least the following data: predetermined jitter frequency interval and predetermined jitter amplitude; wherein the mobile device is used to perform the jitter data and the predetermined jitter data The step of comparing further includes: comparing the jitter frequency captured by the stationary time with the predetermined jitter frequency interval, and when the jitter frequency is compared to the predetermined jitter frequency interval, comparing the jitter frequency The captured jitter amplitude is compared with the predetermined jitter amplitude, and when it is found that the jitter amplitude is greater than the predetermined jitter amplitude, the old man is judged to have a physiological abnormality trend based on this.

Based on the above, the present invention provides an elderly physiological abnormality detection system and method thereof, which respectively measure the walking status of the old man's leg and the shaking status of the old man's finger through the pedometer device and the ring device, and will correspond to The pedometer data of the walking condition of the old man's leg is compared with the predetermined pedometer data, and then the old man is judged to have a physiological degeneration trend, and when the old man is judged to have a physiological degeneration trend, it will correspond to the shaking of the old man's finger The jitter data of the condition is compared with the predetermined jitter data, so that the elderly can be more carefully judged whether there is a physiological abnormality trend, that is, the possibility of suffering from Parkinson's disease, and by issuing an early warning message, early detection and treatment can be achieved to avoid symptoms Getting heavier.

1‧‧‧Pedometer

11‧‧‧ First measurement module

12‧‧‧ First communication module

2‧‧‧ring device

21‧‧‧Second measurement module

22‧‧‧ Second communication module

23‧‧‧Vibration module

3‧‧‧Mobile device

31‧‧‧judgment module

32‧‧‧The third communication module

4‧‧‧Voice capture device

9‧‧‧Elderly

91‧‧‧leg

92‧‧‧ finger

S103~S109‧‧‧Step

FIG. 1 is a block diagram of an elderly physiological abnormality detection system of the present invention.

FIG. 2 is a schematic view (1) of the elderly physiological abnormality detection system of the present invention.

FIG. 3 is a schematic diagram (2) of the elderly physiological abnormality detection system of the present invention.

FIG. 4 is a detailed block diagram of the elderly physiological abnormality detection system of the present invention.

5 is a ring device of another embodiment of the elderly physiological abnormality detection system of the present invention Block diagram.

6 is a detailed block diagram of another embodiment of the elderly physiological abnormality detection system of the present invention.

7 is a flowchart of a method for detecting physiological abnormalities of the elderly in the present invention.

To further understand the features and technical contents of the present invention, the present invention will be described in detail by illustrating various exemplary embodiments of the present invention through the drawings. However, the inventive concept may be embodied in many different forms and should not be interpreted as being limited to the exemplary embodiments set forth herein. Therefore, the embodiments of the present invention are used for illustration, not for limitation. Except for the implementation in the text, the present invention can also be widely applied to other embodiments, and the present invention is not limited to any embodiment. The scope of the attached patent application and its equivalent fields depend.

Please refer to FIG. 1 to FIG. 4, an embodiment of the present invention provides an elderly physiological abnormality detection system, suitable for an elderly 9, according to the World Health Organization (World Health Organization) is defined as people over 60 years old, but this implementation is not Restrictions only apply to people over 60 years of age.

As mentioned above, the physiological abnormality detection system for the elderly in this embodiment basically includes a pedometer device 1, a ring device 2, and a mobile device 3. The following is a further example of the specific details of this embodiment and the interaction between the components. It is particularly emphasized that the details of the following details are only for the convenience of those skilled in the art. The content of the present invention is not limited to its specific implementation method.

The pedometer device 1 can be worn on the leg 91 of the old man 9 (as shown in FIG. 2 ), and is used to measure the walking status of the old man 9 on the leg 91 and correspondingly generate pedometer data.

In practice, the pedometer device 1 may be a pedometer with a first measurement module 11 (as shown in FIG. 4) built in, which uses the accelerometer technology, and the acceleration The gage may be a single-axis or multi-axis accelerometer, preferably a three-axis accelerometer, which is used to collect the three-axis acceleration of the elderly 9's leg movements and realize the step counting function according to the acceleration change rule. In this way, the pedometer 1 can measure and record pedometer data such as the number of walking steps of the elderly 9 over a period of time (such as 1 hour), and can have a reset button for resetting, which can measure the number of steps at the beginning of a period of time The step device 1 is redesigned to reset the number of steps to zero. Alternatively, the pedometer device 1 can also be combined with a timing function, which can automatically reset pedometer data such as the number of steps at a predetermined time period. In addition, the pedometer 1 can also be reset via the mobile device 3.

In this embodiment, the pedometer 1 further includes a first communication module 12 (see FIG. 4) connected to the first measurement module 11, such as a Bluetooth module, which is used The pedometer data of the walking status is transmitted to the mobile device 3, and the pedometer data can include the following data: number of walking steps, walking step length, walking time, rest time, walking distance, walking speed, etc., which can be used to judge the elderly 9 Whether there is a trend of physiological degradation, such as degeneration of muscles of the feet, joints, or chronic degenerative disorders of the central nervous system, that is, the tendency of Parkinson's disease, which makes the elderly 9 have a short pace and a tendency to drag during walking However, at this time, it is impossible to more accurately determine that the physiological degradation is the possibility of Parkinson's disease based only on the step counting data. Therefore, this example is more equipped with the ring device 2, which will be described in detail later.

The finger ring device 2 can be worn on the finger 92 of the old man 9 (see FIG. 3 ), and is used to measure the jitter of the finger 92 of the old man 9 and correspondingly generate jitter data.

In practice, the ring device 2 has a second measurement module 21 (as shown in FIG. 4 ), which uses a three-axis gyroscope technology to collect the three-axis angular velocity of the elderly 9 fingers during movement. Thereby, the ring device 2 can correspondingly generate jitter data by sensing the change of the finger movement of the old man 9 through the three-axis gyroscope.

In this embodiment, the ring device 2 also has a second communication module 22 (see FIG. 4) connected to the second measurement module 21, such as a Bluetooth module, for corresponding to The jitter data of the old man 9's finger jitter condition is transmitted to the mobile device 3, and the jitter data may include the following data: jitter frequency, jitter amplitude, etc.

The mobile device 3 can be selectively connected to the pedometer device 1 and the ring device 2, and the mobile device 3 is not limited to only a mobile phone or a tablet. In this embodiment, the mobile device 3 includes a judgment module 31 for comparing the pedometer data with the predetermined pedometer data, and according to this, determine whether the elderly 9 has a tendency of physiological degradation. In detail, the predetermined pedometer data is, for example, predetermined data stored in the form of a data table, and the predetermined pedometer data includes at least the following data: a predetermined number of walking steps and a predetermined walking time. In more detail, the judgment module 31 compares the number of walking steps corresponding to the walking condition of the old man's 9 legs with the predetermined number of walking steps, and when the comparison shows that the number of walking steps is less than the predetermined number of walking steps, it indicates that there may be physiological Degeneration trend, but it is necessary to compare the walking time corresponding to the walking condition of the old man's 9 legs with the predetermined walking time, and when the walking time is greater than the predetermined walking time, it means that the old man's 9 steps are short and the walking time caused by the dragging It is longer but the number of steps is less. Based on this, it is judged that the old man 9 has a tendency of physiological degradation.

Furthermore, in order to more accurately determine that the physiological degradation is the possibility of Parkinson's disease, the judgment module 31 further compares the jitter data with the predetermined jitter data to determine whether the elderly 9 has a physiological abnormality trend, that is, Parkinson's disease the trend of. In detail, the predetermined jitter data is, for example, predetermined data stored in a data table type, and the predetermined jitter data includes at least the following data: a predetermined jitter frequency interval and a predetermined jitter amplitude. In more detail, the judgment module 31 compares the jitter frequency captured corresponding to the stationary time in the pedometer data with a predetermined jitter frequency interval, because the general primary finger jitter will be faster, but Parkinson’s The finger jitter of patients with diarrhea will be relatively slow, especially when the pace is still, the finger jitter will also appear. Therefore, the finger jitter frequency captured by the elderly at 9 steps is stationary and compared with the predetermined jitter frequency interval. When the finger jitter frequency when the old man’s 9 steps is still is in a predetermined jitter frequency range (for example, 4-6 Hz), the old man’s 9 steps is still at this time The finger jitter amplitude captured during movement is compared with the predetermined jitter amplitude, and when the finger jitter amplitude when the old man 9 step is stationary is greater than the predetermined jitter amplitude, the old man 9 is judged to have a physiological abnormality. In this way, by measuring the number of walking steps, walking time, rest time, and the frequency and amplitude of finger shaking at rest time of the elderly 9, it is possible to determine in more detail whether there is a possibility of suffering from Parkinson's disease, and issue an early warning message To do early detection and treatment as soon as possible to avoid the symptoms getting heavier. It should be noted that the warning message can be issued or displayed in any form, for example, in the form of text, chart, or voice.

In this embodiment, the mobile device 3 further includes a third communication module 32 connected to the judgment module 31, such as a Bluetooth module, for receiving correspondences from the first and second communication modules 12, 22, respectively. Pedometer data on the walking condition of the elderly's leg 91 and jitter data corresponding to the jittering situation of the elderly finger 92.

In addition, in order to facilitate physical therapy, in other embodiments, please refer to FIG. 5, the ring device 2 further includes a vibration module 23, coupled to the second communication module 22 and the second measurement module 21, for According to the measured shaking state of the old man's finger, the synchronous vibration action is suppressed accordingly. Preferably, the vibration module 23 may be a micro-vibration motor to perform synchronous vibration suppression on the shaking state of the elderly finger to reduce the shaking state of the elderly finger. In other embodiments, the vibration module 23 may also be composed of multiple micro vibration motors.

Furthermore, in other embodiments, please refer to FIG. 6, because the early symptoms of Parkinson’s disease can cause tremor of the larynx and breath noise, the present invention further includes a voice extraction device 4 for capturing The pronunciation situation of the old man's larynx corresponds to the generation of voice data. The judgment module 31 is further used to compare the voice data with the predetermined voice data, thereby assisting in judging whether the old man has a physiological abnormality trend, that is, whether he has the possibility of suffering from Parkinson's disease. In detail, the judgment module 31 is to extract the characteristics of the voice signal in the voice data and the pre-determined voice data for the elderly who have suffered from Parkinson's disease The voice signal features are compared to determine whether the extracted voice signal features belong to the range of the voice signal features in the predetermined voice data, where the voice signal features may include any of voice quality features or spectrum features. In this way, the determination module 31 can determine in more detail whether the elderly have the possibility of suffering from Parkinson's disease.

According to the above, the present invention can be summarized as a method for detecting physiological abnormalities of the elderly. For a schematic diagram of the process, please refer to FIG. 7, and please refer to FIGS. 1 to 6 as appropriate. The elderly physiological abnormality detection method of the present invention is applicable to the elderly physiological abnormality detection system (for example, the elderly physiological abnormality detection system in the above embodiment).

First, in step S103, the pedometer 1 is used to measure the walking condition of the leg 91 of the old man 9 and correspondingly generate pedometer data, and the ring device 2 is used to measure the jitter of the old man 9's finger and correspondingly generate jitter data. Go to step S105.

In step S105, the mobile device 3 is used to compare the received pedometer data with the predetermined pedometer data to determine whether the elderly 9 has a tendency to physiological degradation.

If the judgment result of step S105 is NO, it progresses to step S106. In step S106, the pedometer data is displayed on the mobile device 3, thereby facilitating the elderly 9 to know today's exercise results.

If the judgment result of step S105 is yes, that is, it is judged that the old man 9 has a tendency of physiological degradation, and the process proceeds to step S107.

In step S107, the mobile device 3 is used to compare the received jitter data with the predetermined jitter data to determine whether the elderly 9 has a physiological abnormality trend.

If the judgment result of step S107 is NO, it progresses to step S108. In step S108, a reminder message is displayed on the mobile device 3, thereby facilitating the elderly 9 to know that there is a trend of physiological degradation such as joint degradation.

If the judgment result in step S107 is YES, that is, it is judged that the elderly 9 has a trend of physiological abnormality, and the process proceeds to step S109.

In step S109, a warning message is displayed on the mobile device 3 to remind the old People 9 seek medical treatment as early as possible.

In summary, the elderly physiological abnormality detection system and method provided by the present invention respectively measure the walking status of the old man's leg and the shaking status of the old man's finger through the pedometer device and the finger ring device, and the corresponding module through the judgment module The pedometer data on the walking status of the old man’s legs is compared with the predetermined pedometer data, and it is judged whether the old man has a physiological degeneration trend, and when it is judged that the old man has a physiological degeneration trend, it will correspond to the shaking of the old man’s finger The jitter data of the condition is compared with the predetermined jitter data, which can determine whether the elderly have physiological abnormality trend, that is, the possibility of suffering from Parkinson's disease, and by issuing an early warning message, early detection and treatment can be avoided to avoid symptoms Getting heavier.

The above are only preferred embodiments of the present invention, and are not intended to limit the scope of patent protection of the present invention. Therefore, all equivalent changes in the description and drawings of the present invention are included in the protection of the rights of the present invention. Within the scope, together with Chen Ming.

1‧‧‧Pedometer

11‧‧‧ First measurement module

12‧‧‧ First communication module

2‧‧‧ring device

21‧‧‧Second measurement module

22‧‧‧ Second communication module

3‧‧‧Mobile device

31‧‧‧judgment module

32‧‧‧The third communication module

Claims (4)

An elderly physiological abnormality detection system suitable for an elderly person, including: a mobile device; a pedometer device for measuring the walking condition of the elderly man's legs, correspondingly generating pedometer data, and transmitting to the mobile device; and a The ring device is used to measure the jitter of the old man's finger, and correspondingly generate jitter data and transmit it to the mobile device; wherein, the mobile device includes a judgment module for judging the step data and the predetermined Pedometer data is compared to determine whether the old man has a physiological degeneration trend, and when the old man is judged to have a physiological degeneration trend, the jitter data is compared with the predetermined jitter data to determine whether the old man has a physical degeneration Abnormal trend, and when it is determined that the elderly has a physiological abnormal trend, an early warning message is sent through the mobile device; wherein, the pedometer data includes at least the following data: walking steps, walking time, resting time; the predetermined pedometer data is at least Contains the following data: the predetermined number of walking steps, the predetermined walking time; wherein, the judgment module compares the number of walking steps with the predetermined number of walking steps, when the comparison shows that the number of walking steps is less than the predetermined number of walking steps , Comparing the walking time with the predetermined walking time, and when the walking time is greater than the predetermined walking time, it is judged that the old man has a tendency to physiological degradation; wherein, the jitter data includes at least the following data: Jitter frequency and jitter amplitude; the predetermined jitter data includes at least the following data: a predetermined jitter frequency interval and a predetermined jitter amplitude; wherein, the determination module performs the jitter frequency and the predetermined jitter frequency interval captured during the rest time Comparison, when it is compared that the jitter frequency is in the predetermined jitter frequency interval, the jitter amplitude captured during the rest time is compared with the predetermined jitter amplitude, and in When it is compared that the jitter amplitude is greater than the predetermined jitter amplitude, it is judged that the old man has a physiological abnormality trend; wherein, the ring device includes a vibration module for correspondingly performing synchronous vibration according to the jitter of the old man's finger. The elderly physiological abnormality detection system according to claim 1, wherein the pedometer device includes a first communication module for transmitting the pedometer data corresponding to the walking condition of the elderly man's leg to the mobile device The ring device includes a second communication module for transmitting the jitter data corresponding to the jitter condition of the old man's finger to the mobile device. The elderly physiological abnormality detection system according to claim 1, further comprising: a voice acquisition device for capturing the pronunciation of the larynx of the elderly, correspondingly generating voice data, and transmitting it to the mobile device; the judgment module It is also used to compare the voice data with the predetermined voice data, so as to assist in judging whether the old man has a physiological abnormality trend. The elderly physiological abnormality detection system according to claim 3, wherein the judgment module is to compare the voice signal features in the voice data with the voice signal features in the predetermined voice data, and extract When the voice signal feature that comes out belongs to the range of the voice signal feature in the predetermined voice data, it is used to assist in judging whether the old man has a physiological abnormality trend.

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