Author: claimsbot

1. A system, comprising:
a sensor system mounted to an electrically motorized vehicle;
a communications module in communication with at least one of the wheel and the sensor system, the communication module operable to communicate data to a server remote from the electrically motorized wheel; and
a data integration module in data communication with the server to integrate the data from the sensor system with data from a data source external to the electrically motorized wheel.
2. The system as recited in claim 1, wherein the server correlates the data from the sensor system with at least one data structure of at least one database.
3. The system as recited in claim 1, wherein the data source external to the electrically motorized wheel includes data from a traffic data system.
4. The system as recited in claim 3, wherein the traffic data system includes a traffic camera.
5. The system as recited in claim 2, wherein data source external to the electrically motorized wheel includes map data.
6. The system as recited in claim 5, wherein the map data includes aerial map data.
7. The system as recited in claim 5, wherein the map data includes land use map data.
8. The system as recited in claim 5, wherein the map data includes mobile mapping data.
9. The system as recited in claim 2, wherein the data source external to the electrically motorized wheel includes data from a road traffic sensor.
10. The system as recited in claim 1, wherein the data from at least one of the sensor system and the data source external to the electrically motorized wheel includes image data.
11. The system as recited in claim 1, wherein the data at least one of the sensor system and the data source external to the electrically motorized wheel includes weather data.
12. The system as recited in claim 1, wherein the data at least one of the sensor system and the data source external to the electrically motorized wheel includes temporal data.
13. The system as recited in claim 1, wherein the data at least one of the sensor system and the data source external to the electrically motorized wheel includes spatial data.
14. The system as recited in claim 1, wherein the data from the sensor system includes torque data of the electrically motorized wheel.
15. The system as recited in claim 1, wherein the data at least one of the sensor system and the data source external to the electrically motorized wheel includes speed data of the electrically motorized wheel.
16. The system as recited in claim 1, wherein the data from the sensor system includes \u201csteadiness\u201d of the electrically motorized wheel.
17. The system as recited in claim 1, wherein the data from at least one of the sensor system and the data source external to the electrically motorized wheel includes steadiness of the vehicle.
18. The system as recited in claim 1, wherein the data at least one of the sensor system and the data source external to the electrically motorized wheel includes terrain traveled by the electrically motorized wheel.
19. The system as recited in claim 1, wherein the data from at least one of the sensor system and the data source external to the electrically motorized wheel includes motorized assistance provided by the electrically motorized wheel.
20. The system as recited in claim 1, wherein the data from at least one of the sensor system and the data source external to the electrically motorized wheel includes available battery power of the electrically motorized wheel.
21. The system as recited in claim 1, wherein the data from at least one of the sensor system and the data source external to the electrically motorized wheel includes motor temperature of the electrically motorized wheel.
22. A system, comprising:
a server in communication with each of a plurality of electrically motorized wheels and a third party data source, the server operable to integrate the data from each of the electrically motorized wheels and the data from the third party data source, wherein each of the electrically motorized wheels operable to convert a non-motorized wheeled vehicle to an electrically motorized wheeled vehicle via installation of the electrically motorized wheel.
23. The system as recited in claim 22, wherein the data from the third party data source includes data from a traffic camera.
24. The system as recited in claim 22, wherein the data from the third party data source includes data from a road sensor.
25. The system as recited in claim 22, wherein the data from the third party data source includes data from an aerial mapping data source.
26. The system as recited in claim 22, wherein the integrated data provides a spatial and temporal indication of various parameters.
27. The system as recited in claim 26, wherein the spatial indication includes a location.
28. The system as recited in claim 26, wherein the temporal indication includes data associated with an environment through which at least one of the multiple of electrically motorized wheels passes.
29. The system as recited in claim 26, wherein the temporal indication includes at least one of temperature, humidity, elevation, atmospheric data and signal strength.
30. The system as recited in claim 26, wherein the temporal indication includes data associated with at least one of the plurality of electrically motorized wheels.
31. The system as recited in claim 26, wherein the temporal indication includes at least one of vehicle speed, battery charge, motor assistance and torque.
32. The system as recited in claim 26, wherein the integrated data is utilized to generate a model.
33. The system as recited in claim 32, wherein the model is operable to facilitate prediction of future conditions.
34. The system as recited in claim 32, wherein the model is operable to facilitate at least one of bike lane placement, urban planning, cell tower placement, pollution reduction initiatives.
35. The system as recited in claim 32, wherein the model is operable to facilitate analysis of real time conditions.
36. A system, comprising:
a server in communication with each of a plurality of electrically motorized wheels, the server operable to integrate movement data from each of the electrically motorized wheels, wherein each of the electrically motorized wheels operable to convert a non-motorized wheeled vehicle to an electrically motorized wheeled vehicle via installation of the electrically motorized wheel.
37. The system as recited in claim 36, wherein the server is operable to integrate the movement data to facilitate public health analysis.
38. The system as recited in claim 36, wherein the server is operable to integrate the movement data to facilitate bike path location determinations.
39. The system as recited in claim 36, wherein the server is operable to integrate the movement data to facilitate fleet management.
40. The system as recited in claim 36, wherein the server is operable to integrate the movement data to facilitate traffic analysis.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A tool for the mechanical processing of plates, for joining with one another via pressing andor stamping with a punch and a die, said tool having a first part on one side of at least one plate, and a second part on an opposite side of said plate, comprising:
a first tool holder and a second tool holder, a male punch and a female die,
at least one of the punch and the die having a punch insert andor a die insert respectively for contacting and processing the plates, and a respective mounting part which receives the insert,
a form-locking connection between the insert and the mounting part,
the insert being of a harder material than its mounting part and being substantially immovable with respect to its mounting part,
the punch and the die being separated with respect to an axial driving direction, wherein in a face of a mounting part facing the insert, there is a recess for the form-locking connection with the insert.
2. A tool according to claim 1, wherein the form-locking connection between the insert and the mounting part is constructed as a press connection.
3. A tool according to claim 2, wherein the form-locking connection between the insert and the mounting part is constructed as a press connection.
4. A tool according to claim 3 wherein the insert has a plug shape and after its insertion into the recess forms the bottom of the recess.
5. A tool according to claim 3 wherein the connection between the mounting part and the insert prevents relative rotation.
6. A tool according to claim 2 wherein the insert has a plug shape and after its insertion into the recess forms the bottom of the recess.
7. A tool according to claim 2 wherein the connection between the mounting part and the insert prevents relative rotation.
8. A tool according to claim 1 wherein the insert has a plug shape and after its insertion into the recess forms the bottom of the recess.
9. A tool according to claim 8 wherein the connection between the mounting part and the insert prevents relative rotation.
10. A tool according to claim 1 wherein the connection between the mounting part and the insert prevents relative rotation.
11. A tool according to claim 1 wherein
the lateral walls of the recess are at a radial distance from a jacket surface of a forming punch, and
the recess in the die is constructed as a blind opening, the lateral walls of the recess are arranged axially in the direction of axial movement of the punch, a bottom portion being arranged transverse to the lateral walls, the bottom and the lateral walls of the recess are substantially inflexible.
12. A tool according to claim 1, comprising joining components to the plate, and the punch that can be pressed into the plate, the punch driven by a tool punch.
13. A tool according to claim 1 wherein the insert has a plug shape and after its insertion into the recess forms the bottom of the recess.
14. A tool according to claim 1 wherein the connection between the mounting part and the insert prevents relative rotation.
15. A tool according to claim 1 wherein the connection between the mounting part and the insert prevents relative rotation.
16. A tool according to claim 1 wherein
the lateral walls of a recess are at a radial distance from a jacket surface of a forming punch, and
the recess in the die is constructed in the radial and axial directions as a blind opening, the lateral walls of the recess are arranged axially in the direction of axial movement of the punch, a bottom portion being arranged transverse to the lateral walls, the bottom and the lateral walls of the recess being substantially inflexible,
a recess for the form-locking connection with the insert disposed in a face of the mounting part facing the insert,
the form-locking connection between the insert and the mounting part being constructed as a press connection,
the insert having a plug shape and after its insertion into the recess forms the bottom of the recess, wherein the connection between the mounting part and the insert prevents relative rotation.

1. A method of measuring surgical parameters in computer-assisted surgery so as to guide an operator in inserting a hip joint implant in a femur, comprising:
i) digitizing a frame of reference of a pelvis, the frame of reference of the pelvis being trackable in space;
ii) digitizing a pre-reduction frame of reference of the femur as a function of the frame of reference of the pelvis, the pre-reduction frame of reference comprising a femoral axis;
iii) obtaining a reference orientation for the femoral axis of the pre-reduction frame of reference of the femur with respect to the frame of reference of the pelvis;
iv) digitizing a reduction frame of reference of the femur by virtually orienting the femoral axis in said reference orientation as a function of the frame of reference of the pelvis, after initiation of implant reduction;
v) providing the surgical parameters associating the femur to the pelvis and measured as a difference between the first and second frames of reference of the femur.
2. The method according to claim 1, wherein the femoral axis is a mechanical axis, and wherein obtaining a the reference orientation comprises the reference orientation having the mechanical axis of the pre-reduction frame of reference of the femur at a predetermined angle of a vertical axis of a patient within a frontal plane of the frame of reference of the pelvis.
3. The method according to claim 2, wherein obtaining the reference orientation comprises the reference orientation having the mechanical axis where the predetermined angle is 3\xb0.
4. The method according to claim 2, wherein digitizing the frame of reference of the pelvis comprises digitizing two points on an iliac crest and a point on one of pubic tubercles to obtain the frontal plane of the frame of reference of the pelvis.
5. The method according to claim 2, wherein obtaining the reference orientation comprises having the mechanical axis of the pre-reduction frame of reference of the femur pass through a center of rotation of the femur, and the reference orientation has the center of rotation of the femur and of an acetabulum coincident.
6. The method according to claim 1, wherein the step iv) includes updating the frame of reference of the pelvis by digitizing a center of rotation of the acetabulum subsequently to the implant reduction.
7. The method according to claim 1, wherein the surgical parameters are at least one of a limb length discrepancy and a medio-lateral offset.
8. The method according to claim 1, wherein the steps i) and ii) are performed with respect to a single trackable reference secured to the pelvis.
9. The method according to claim 1, wherein the method is performed on a bone model or a cadaver.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A health management apparatus comprising:
a first pulse wave measuring unit that measures a first pulse wave of a subject during sleep;
a second pulse wave measuring unit that measures a second pulse wave of the subject during sleep, the second pulse wave being different from the first pulse wave in propagation time from the heart of the subject;
a pulse transmission time calculating unit that calculates a pulse transmission time indicating a time difference between the first pulse wave and the second pulse wave;
a pulse interval calculating unit that calculates a pulse interval based on at least one of the first pulse wave and the second pulse wave;
an autonomic nerve index calculating unit that calculates an autonomic nerve index indicating an autonomic nerve activity of the subject based on the pulse transmission time and the pulse interval; and
a health determining unit that determines the condition of health of the subject based on the autonomic nerve index.
2. The health management apparatus according to claim 1, further comprising a health output unit that outputs the condition of health.
3. The health management apparatus according to claim 1, wherein the health determining unit determines a sleep state based on the autonomic nerve index.
4. The health management apparatus according to claim 3, wherein the health determining unit determines whether the sleep is REM sleep or non-REM sleep based on the autonomic nerve index.
5. The health management apparatus according to claim 1, wherein the autonomic nerve index calculating unit calculates the autonomic nerve index in a low-frequency region based on the pulse transmission time.
6. The health management apparatus according to claim 1, further comprising a pressure sensor that detects pressure from the body weight of the subject,
wherein the first pulse wave measuring unit measures the first pulse wave based on the pressure detected by the pressure sensor.
7. A health management apparatus comprising:
a first pulse wave measuring unit that measures a first pulse wave of a subject during sleep;
a second pulse wave measuring unit that measures a second pulse wave of the subject during sleep, the second pulse wave being different from the first pulse wave in propagation time from the heart of the subject;
a pulse transmission time calculating unit that calculates a pulse transmission time indicating a time difference between the first pulse wave and the second pulse wave;
a pulse interval calculating unit that calculates a pulse interval based on at least one of the first pulse wave and the second pulse wave;
an autonomic nerve index calculating unit that calculates an autonomic nerve index indicating an autonomic nerve activity of the subject based on the pulse transmission time and the pulse interval;
a blood pressure value calculating unit that calculates a blood pressure value based on the pulse transmission time; and
a health determining unit that determines the condition of health of the subject based on the autonomic nerve index and the blood pressure value.
8. The health management apparatus according to claim 7, further comprising:
a blood pressure variability pattern storing unit that stores a blood pressure variability pattern indicating a time variation in blood pressure during sleep; and
a pattern comparing unit that compares the time variation in blood pressure during sleep with the blood pressure variability pattern,
wherein the health determining unit determines the condition of health of the subject based on the comparison result.
9. The health management apparatus according to claim 8, further comprising a sleep determining unit that determines whether the sleep is REM sleep or non-REM sleep based on the autonomic nerve index,
wherein the pattern comparing unit compares the time variation in blood pressure during sleep with the blood pressure variability pattern, the blood pressure during sleep being obtained when the sleep determining unit detects REM sleep.
10. The health management apparatus according to claim 7, further comprising a basal blood pressure determining unit that determines a basal blood pressure to be a minimum value in the time variation of the blood pressure value,
wherein the health determining unit determines the condition of health based on the basal blood pressure.
11. The health management apparatus according to claim 7, further comprising:
a sleep determining unit that determines whether the sleep is REM sleep or non-REM sleep based on the autonomic nerve index; and
a basal blood pressure determining unit that determines a basal blood pressure to be a minimum value of the blood pressure obtained when the sleep determining unit detects REM sleep,
wherein the health determining unit determines the condition of health based on the basal blood pressure.
12. The health management apparatus according to claim 10, further comprising:
a wake-up determining unit that determines whether the subject has woken up based on the autonomic nerve index; and
a wake-up time blood pressure increase rate calculating unit that calculates a blood pressure increase rate from the basal blood pressure to the blood pressure value obtained when the subject is determined to has waken up,
wherein the health determining unit determines the condition of health of the subject based on the blood pressure increase rate.
13. The health management apparatus according to claim 11, further comprising:
a wake-up determining unit that determines whether the subject has woken up based on the autonomic nerve index; and
a wake-up time blood pressure increase rate calculating unit that calculates a blood pressure increase rate from the basal blood pressure to the blood pressure value obtained when the subject is determined to has waken up,
wherein the health determining unit determines the condition of health of the subject based on the blood pressure increase rate.
14. The health management apparatus according to claim 10, further comprising:
a sleep determining unit that determines whether the sleep is REM sleep or non-REM sleep based on the autonomic nerve index; and
an early-morning blood pressure increase rate calculating unit that calculates a blood pressure increase rate from the basal blood pressure to the blood pressure value obtained when the last non-REM sleep during the sleep is detected,
wherein the health determining unit determines the condition of health of the subject based on the blood pressure increase rate.
15. The health management apparatus according to claim 7, further comprising a pulse transmission time variation measuring unit that measures a variation in a predetermined period of time within the pulse transmission time,
wherein the health determining unit determines the condition of health of the subject based on a result of the measurement by the pulse transmission time variation measuring unit.
16. The health management apparatus according to claim 7, further comprising a pressure sensor that detects pressure from the body weight of the subject,
wherein the first pulse wave measuring unit measures the first pulse wave based on the pressure detected by the pressure sensor.
17. A health management apparatus comprising:
an electrocardiogram activity measuring unit that measures the degree of an electrocardiogram activity of a subject during sleep;
a first pulse wave measuring unit that measures a first pulse wave of the subject during sleep;
a pulse transmission time calculating unit that calculates a pulse transmission time indicating a time difference between the electrocardiogram activity and the first pulse wave;
a pulse interval calculating unit that calculates a pulse interval based on at least one of the degree of the electrocardiogram activity and the first pulse wave;
an autonomic nerve index calculating unit that calculates an autonomic nerve index indicating an autonomic nerve activity of the subject based on the pulse transmission time and the pulse interval; and
a health determining unit that determines the condition of health of the subject based on the autonomic nerve index.
18. A health management apparatus comprising:
an electrocardiogram activity measuring unit that measures the degree of an electrocardiogram activity of a subject during sleep;
a first pulse wave measuring unit that measures a first pulse wave of the subject during sleep;
a pulse transmission time calculating unit that calculates a pulse transmission time indicating a time difference between the electrocardiogram activity and the first pulse wave;
a pulse interval calculating unit that calculates a pulse interval based on at least one of the degree of the electrocardiogram activity and the first pulse wave;
an autonomic nerve index calculating unit that calculates an autonomic nerve index indicating an autonomic nerve activity of the subject based on the pulse transmission time and the pulse interval;
a blood pressure value calculating unit that calculates a blood pressure value based on the pulse transmission time; and
a health determining unit that determines the condition of health of the subject based on the autonomic nerve index and the blood pressure value.
19. A health management system comprising a health management main apparatus and a health management sub apparatus that manage the condition of health of a subject,
the health management sub apparatus comprising:
a first pulse wave measuring unit that measures a first pulse wave of the subject during sleep; and
a transmission unit that transmits the first pulse wave to the health management main apparatus,

the health management main apparatus comprising:
a reception unit that receives the first pulse wave from the health management sub apparatus;
a second pulse wave measuring unit that measures a second pulse wave of the subject during sleep, the second pulse wave being different from the first pulse wave in propagation time from the heart of the subject;
a pulse transmission time calculating unit that calculates a pulse transmission time indicating a time difference between the first pulse wave and the second pulse wave;
a pulse interval calculating unit that calculates a pulse interval based on at least one of the first pulse wave and the second pulse wave;
an autonomic nerve index calculating unit that calculates an autonomic nerve index indicating an autonomic nerve activity of the subject based on the pulse transmission time and the pulse interval; and
a health determining unit that determines the condition of health of the subject based on the autonomic nerve index.
20. A health management system comprising a health management main apparatus and a health management sub apparatus that manage the condition of health of a subject,
the health management sub apparatus comprising:
a first pulse wave measuring unit that measures a first pulse wave of the subject during sleep; and
a transmission unit that transmits the first pulse wave to the health management main apparatus,

the health management main apparatus comprising:
a reception unit that receives the first pulse wave from the health management sub apparatus;
a second pulse wave measuring unit that measures a second pulse wave of the subject during sleep, the second pulse wave being different from the first pulse wave in propagation time from the heart of the subject;
a pulse transmission time calculating unit that calculates a pulse transmission time that is the time difference between the first pulse wave and the second pulse wave;
a pulse interval calculating unit that calculates a pulse interval based on at least one of the first pulse wave and the second pulse wave;
an autonomic nerve index calculating unit that calculates an autonomic nerve index indicating an autonomic nerve activity of the subject based on the pulse transmission time and the pulse interval;
a blood pressure value calculating unit that calculates a blood pressure value, based on the pulse transmission time; and
a health determining unit that determines the condition of health of the subject based on the autonomic nerve index and the blood pressure value.
21. A health management method comprising:
measuring a first pulse wave of a subject during sleep;
measuring a second pulse wave of the subject during sleep, the second pulse wave being different from the first pulse wave in propagation time from the heart of the subject;
calculating a pulse transmission time indicating a time difference between the first pulse wave and the second pulse wave;
calculating a pulse interval, based on at least one of the first pulse wave and the second pulse wave;
calculating an autonomic nerve index indicating an autonomic nerve activity of the subject based on the pulse transmission time and the pulse interval; and
determining the condition of health of the subject, based on the autonomic nerve index.
22. A health management method comprising:
measuring a first pulse wave of a subject during sleep;
measuring a second pulse wave of the subject during sleep, the second pulse wave being different from the first pulse wave in propagation time from the heart of the subject;
calculating a pulse transmission time indicating a time difference between the first pulse wave and the second pulse wave;
calculating a pulse interval based on at least one of the first pulse wave and the second pulse wave;
calculating an autonomic nerve index indicating an autonomic nerve activity of the subject based on the pulse transmission time and the pulse interval;
calculating a blood pressure value, based on the pulse transmission time; and
determining the condition of health of the subject, based on the autonomic nerve index and the blood pressure value.
23. A computer program product having a computer readable medium including programmed instructions for managing health, wherein the instructions, when executed by a computer, cause the computer to perform:
measuring a first pulse wave of a subject during sleep;
measuring a second pulse wave of the subject during sleep, the second pulse wave being different from the first pulse wave in propagation time from the heart of the subject;
calculating a pulse transmission time indicating a time difference between the first pulse wave and the second pulse wave;
calculating a pulse interval, based on at least one of the first pulse wave and the second pulse wave;
calculating an autonomic nerve index indicating an autonomic nerve activity of the subject based on the pulse transmission time and the pulse interval; and
determining the condition of health of the subject, based on the autonomic nerve index.
24. A computer program product having a computer readable medium including programmed instructions for managing health, wherein the instructions, when executed by a computer, cause the computer to perform:
measuring a first pulse wave of a subject during sleep;
measuring a second pulse wave of the subject during sleep, the second pulse wave being different from the first pulse wave in propagation time from the heart of the subject;
calculating a pulse transmission time indicating a time difference between the first pulse wave and the second pulse wave;
calculating a pulse interval based on at least one of the first pulse wave and the second pulse wave;
calculating an autonomic nerve index indicating an autonomic nerve activity of the subject based on the pulse transmission time and the pulse interval;
calculating a blood pressure value, based on the pulse transmission time; and
determining the condition of health of the subject, based on the autonomic nerve index and the blood pressure value.