Measurements

Measurements define the type of datapoint. Measurement defines what happens to the datapoint, what AI models are executed, where and how the datapoint is displayed.

When you are sending data from external system to Gillie, it’s crucial to get the measurement mapping right.

Some sample datapoint sets

Full list of measurements

Public measurements.

Public measurements comes from external systems or devices to Gillie. These measurements form the basic data for Gillie AI.

• activity_percentage: Activity percentage

• activity_steps: Activity steps

• alive: Device alive signal

• arterial_pressure: Arterial pressure (mmHg)

• at_home: Customer is at home or withing the range of the home hub

• awake: Customer is awake

• battery: The device battery is low

• battery_charging: The device battery is charging

• battery_empty: The device battery is empty

• battery_full: The device battery is full

• bed_entered: The customer has gone to the bed

• bed_left: The customer has got out of the bed

• BMI: Body mass index (BMI)

• body_temperature: Body temperature (C)

• care_plan: Long term Care Plan

• care_visit: Care visit

• catheterization: Catheterization amount (ml)

• client_about_to_miss_medication: The customer is about to miss medication

• connection_error: Device connection error

• connection_ok: Device connection ok. This acknowledges a possible previous connection error

• device_error: Device error

• device_ok: Device is ok. This acknowledges a possible previous device error

• device_setting: Device setting

• dialysis_blood_flow: Blood flow ml/min

• dialysis_clearance: Clearance

• dialysis_conductivity: Conductivity of dialysis fluid

• dialysis_duration: Dialysis duration (h)

• dialysis_fluid_flow: Dialysis fluid flow ml/min

• dialysis_frequency: Dialysis frequency (per week)

• dialysis_ktv: Dialysis KtV value

• diastolic_blood_pressure: Diastolic blood pressure

• door2_opened: The side door has been opened

• door_left_open: The door has been left open

• door_opened: The front door has been opened

• fat_ratio: Fat ratio

• firealarm: Fire alarm

• fluid_excess: Fluids exceeding dry weight (kg)

• geoalarm: The customer has crossed the geo-fence

• glucose: Blood glucose

• heart_rate: Heart rate

• height: Height (cm)

• help: The customer has made an emergency call or pressed the alarm button

• high_sleep_activity: Customer moves a lot in bed

• home_care_visit: Care note made by the caregiver

• home_left: The customer has left home or is out of range of home hub

• hypoglycemia: The customer has hypoglycemia (low blood glugose)

• inr: INR Depreciated. Use measurement lab and sub measurement p_inr

• insulin: The amount of insulin given to the customer (ky)

• ketone: Ketones have been found

• lab: Lab measurements. Measured type in sub_measurement

• location: GPS location

• mains_not_ok: The device is disconnected from the mains

• mains_ok: The device is connected to the mains. This acknowledges a possible previous main_not_ok

• medication: Medication. sub measurement contains medicine ATC code

• medicine_not_taken: The customer has not taken the medicine

• medicine_stock_empty: The medicine stock of the dispencer empty

• medicine_stock_low: The medicine stock of the dispencer low

• medicine_taken: The customer has taken the medicine

• offline: The device is offline

• online: The device is online. This acknowledges a possible previous offline

• other_health_issue: Other health issue, which is shown as an alert

• oxygen_saturation: Oxygen saturation

• pef: PEF

• physiotherapy_visit: Care note made by the physiotherapist

• procedure: Medical procedure. Sub measurement contains the procedure code

• respiration_rate: Respiration rate

• rmssd: Heart rate variablity (rmssd)

• room1_movement: Movement in entrance/lobby

• room2_movement: Movement in WC

• room3_movement: Movement in bedroom

• room4_movement: Movement in living room

• room5_movement: Movement in kitchen

• room6_movement: Movement in an unidentified room

• skeletal_muscle_percentage: Muscle mass percentage

• sleep: Customer is sleeping

• sleep_activity: Sleep activity

• sleep_state: Sleep state

• sleep_time: Sleep time in seconds

• survey_answer: Survey answer

• systolic_blood_pressure: Systolic blood pressure

• test: Device test message

• ultrafiltration_volume: Dialysis ultrafiltration volume (ml)

• unknown: Unknown device message

• unnecessary_help: Customer has made an emergency call, which has been classified as unnecessary

• user_message: Message wall message

• venous_pressure: Venous pressure (mmHg)

• visceral_fat_level: Visceral fat level

• water_leakage_alarm: Water leakage alarm

• weight: Weight (kg)

Common measurements.

Common measurements are usually generated by Gillie, but sometimes external systems can also send them. Simple exapmle of this case is fever ICPC2_A03. Gillie generates this automatically from temperature reading, which is over 37,5 Celsius, but sometimes these are entered to the backend system in structured form and it’s better that backend system sends the diagnosis directly.

Common measurements are also typically send from backend system when nurse notes are entered in structured manner.

• ability_to_understand_others: Customer has difficulties in understanding others

• ambulance_called: Ambulance has been called to the customer

• bed_mobility: Customer needs help getting in or out of bed

• believes_able_to_do_more: Customer or carer believes customer to be able to do more

• crying: Customer is crying

• daily_decision_making: Customer needs help in everyday decision-making

• delirium: Customer’s mental function varies during the day

• dressing: Customer is getting dressed or being helped to dress

• dressing_assisted: The customer has been helped to dress

• easily_distracted: Customer is easily distracted

• eating_assisted: The customer has been helped to eat

• event: Event

• fall: Customer has fallen or been at risk of falling

• family_member_or_friend: The client has talked about his/her family members

• fearful: Customer has bruises or is fearful

• feeding_tube: Customer has a feeding tube

• feels_lonely: Customer feels lonely

• goes_out: The customer has been outdoors

• goes_out_assisted: The customer has been helped to go outside

• happy: The client is happy

• icd10: ICD10 code, sub_measurement contains actual code

• ICD10_I48*: Atrial fibrillation

• ICD10_R00.0*: Tachycardia, abnormally rapid heartbeat, usually a heart rate of over 100 beats per minute in adults

• ICD10_R00.1*: Bradycardia, a disorder characterized by dysrhythmia with a heart rate of under 60 beats per minute that originates in the sinus node

• ICD10_R06.3*: Hyperventilation (high average breathing rate) for over 15 minutes

• ICD10_R06.4*: Periodic breathing (low average breathing rate) for over 3 minutes

• icpc2: ICPC2 code

• ICPC2_A01: Customer has pain

• ICPC2_A03: Customer has fever

• ICPC2_A04: Customer is tired or weak

• ICPC2_A06: Customer has fainted

• ICPC2_D10: Customer has vomited or felt ill

• ICPC2_D11: Customer has diarrhea

• ICPC2_D12: Customer has constipation

• ICPC2_D17: Client has difficulty with bowel management

• ICPC2_K01: Customer has chest pain

• ICPC2_K07: Customer has swelling of limbs

• ICPC2_N17: Customer is dizzy

• ICPC2_P04: Customer is angry

• ICPC2_P15: Customer has drinked alcohol

• ICPC2_R02: Customer has shortness of breath

• ICPC2_T05: Customer has diffculties with eating

• ICPC2_T11: The client is dehydrated

• ICPC2_U04: The Client has urinary incontinence

• inappropriate_behavior: The customer has behaved inappropriately

• locomotion: Customer needs help with moving around at home by walking or with wheel chair

• makes_negative_comments: Customer makes negative comments

• managing_medication: Customer has difficulties with medicine taking

• managing_medication_note: The client has been given or sought to be given medication during the care visit

• meal_preparation: The customer has been offered food

• meal_preparation_assisted: The customer has been assisted in meal preparation

• nonhealth_concerns: Customer has concerns

• not_interested_in_anything: The customer is not interested in anything

• physical_abuse: The client is physically violent or threatened with violence

• poor_hygiene: Customer has poor hygiene

• pressure_ulcers: Customer has pressure ulcers or symptoms related to it

• protein_supplement: The customer has been given protein supplement

• religion: The client has spoken about religion or participated in the practice of religion

• resists_care: Customer resists care

• sadness: Customer is sad

• self_sufficiency_changed: Customer’s level of self-sufficiency has changed during the past few months

• shopping: Customer, carer or family member has made grocery shoppings

• shopping_assisted: the customer has been assisted in making grocery purchases

• short_term_memory: Customer has issues with short-term memory

• shower: shower

• shower_assisted: The customer has been assisted in shower or sauna

• situational_memory: Customer doesn’t know where he/she is or does not recognize the nurse

• spouse: The client has talked about his/her spouse

• stairs: Customer’s home or care facility has stairs

• suicide_risk: Customer has suicidal or self-destructive speeches

• tells_stories: The client has told stories about himself or his life

• toilet_usage: Customer has been in toilet

• toilet_usage_assisted: The customer has been assisted in the toilet

• uncozy_facility: The customer’s apartment or room is messy or uncosy

• unrealistic_fears: Customer is scared

• unscheduled_home_care_visit: Unscheduled (emergency) home care visit

• uses_rollator_or_wheelchair: Customer uses a rollator or wheelchair

• verbal_abuse: The client has used verbal violence or spoken inappropriately

• waked_up: The customer has been awakened by the carer

• walking: Customer needs help with moving around at home

• wandering: The customer wanders around

• wound_care: Customer has been given wound care

Gillie’s internal measurements.

These measurements are typically the end results of Gillie’s AI analysis. Backend system’s do not send these measurements to Gillie, but can query them.

• abnormal_door_openings: Abnormal door openings detected

• abnormal_sleeping: Abnormal sleeping detected

• abnormal_toilet_usage: Abnormal toilet usage detected

• age: Customer’s age.

• bloodstream_infection: Likelihood the home hemodialysis patient has bloodstream infection

• bloodstream_malfunction: Likelihood the home hemodialysis patient has issues on bloodstream functioning

• cardiorespiratory: Likelihood for cardiorespiratory issues

• copd: Likelihood for deviation copd treatment balance

• device_no_data: The device has not sent data as expected

• diabetes: Likelihood for deviation diabetes treatment balance

• dialysis_likelihood: Likelihood the person needs to start dialysis treatment

• dialysis_prescription: Likelihood the dialysis prescription of the home dialysis patient should be reviewed

• dialysis_treatment_balance: Dialysis treatment balance

• early_warning_score: Early Warning Score, see Google for a more details

• egfr_slope: eGFR slope

• fluid_accumulation: The percetage customer’s weight has increased during the past week

• frequent_abnormal_door_openings: Frequent abnormal door openings

• frequent_abnormal_medicine_taking: Frequent abnormal medicine taking

• frequent_abnormal_sleeping: Frequent abnormal sleeping

• frequent_abnormal_toilet_usage: Frequent abnormal toilet usage

• frequent_geoalarm: Frequent geo-fence alarms detected

• frequent_help: Frequent emergency calls detected

• frequent_mains_not_ok: The device is frequently disconnected from the mains

• frequent_suicide_risk: frequent suicidal of self-destructive talks

• frequent_unnecessary_help: Repeated unnecessary emrgency calls

• heart_rate_increasing_trend: Heart rate has an increasng trend

• helper_present: Care giver or family member is at location

• help_daypattern: Emergency calls often at the same time of day

• help_increasing_trend: The number of emergency calls has increased from the past

• homecare_likelihood: The likelihood support service customer will need to start home care visit in next 2 months

• home_dialysis_candidate: Likelihood the predialysis patient would be a good candidate for home dialysis

• hypertension: Likelihood for deviation in hypertension treatment balance

• hyperventilation_60min: Hyperventilation (high average breathing rate) for over 60 minutes

• index_abs: Aggressive Behavior Scale (ABS-AI), see Google for a more details

• index_abusive_relationship: Risk of been abused physically or mentally (0=no, 2=high)

• index_adl: Activities of Daily Living (ADL-AI)

• index_believes_able_to_do_more: Customer or carer believes customer to be able to do more

• index_bowel: Difficulties with bowel control (0=no, 2=often)

• index_care_visit: Care visit index for analyzing excessive service usage

• index_chess: CHESS, see Google for a more details

• index_communication: Issues with communication (0=no, 2=often)

• index_cps: Cognitive Performance Scale (CPS-AI), see Google for a more details

• index_dehydration: Dehydration risk (0=no, 2=high)

• index_delirium: Likelihood of delirium (0=no, 2=high)

• index_door_opening: The average number of door openings per day in the last 30 days. The visits of home care workers have been removed from the number

• index_drs: Depression Rate Scale, see Google for a more details

• index_emergency_risk: Risk of having to go in hospital emergency room within nex few days (0=no, 100=high)

• index_fall: Fall down risk (0=no, 2=high)

• index_feeding_tube: Issues with feeding tube (0=no, 2=severe)

• index_geoalarm: The number of geo-fence alarms during the previous 90 days

• index_help: The number of emergency calls made during the last 30 days

• index_help_usage: Customer has an emergency phone or alarm button, but it has not been used or tested for 40 days (0=has been used, 100=not used or tested)

• index_iadl: Instrumental Activities of Daily Living (IADL-AI), see Google for a more details

• index_ICPC2_K01: Chest pain (0=no, 2=often)

• index_ICPC2_N17: Dizziness (0=no, 2=often)

• index_ICPC2_R02: Breathing difficulties (0=no, 2=often)

• index_ICPC2_T05: Eating problems (0=no, 2=high)

• index_institutional_risk: Risk of being placed in an institutional care (0=no, 2=high)

• index_ketone: Ketones detected during the past 30 days (0=no, 1=yes)

• index_lots_of_visits: Home care visits per month / MAPLe. A large number indicates possible unnecessary visits.

• index_maple: Method for Assigning Priority Levels (MAPLe-AI), see Google for a more details

• index_medication: Deviations in medication (0=no, 2=severe)

• index_medicine_taking: Deviations in medicine taking (0=no, 2=often)

• index_only_medicine_taking: Home care visits with only activity related to medicine giving (0=no, 2=often)

• index_pain: Frequency of pain (0=no, 2=often)

• index_physical_activities: Deviations in physical activity (0=no, 2=often)

• index_physiotherapy: Level of need for physiotherapy

• index_pressure_ulcers: Likelihood for pressure ulcers (0=low, 2=high)

• index_purs: Pressure Ulcer Risk Scale (PURS-AI), see Google for a more details

• index_qol: The quality of life experienced by the customer (0=good, 100=poor)

• index_qol_financial: Sense of safety experienced by the customer (0=good, 100=poor)

• index_qol_food: Customer’s nutrition status (0=good, 100=poor)

• index_qol_health: Customer’s health (0=good, 100=poor)

• index_qol_home: Customer’s living conditions (0=good, 100=poor)

• index_qol_relationships: Customer’s social relationships (0=good, 100=poor)

• index_rai_difference: RAI evaluation performed to the customer differs from what AI has analysed

• index_rai_impairment: Customer’s status has impaired since last RAI evaluation

• index_rai_improvement: Customer’s status has improved since last RAI evaluation

• index_recommend_device_dispenser: Likelihood the customer would benefit of using medical dispencer

• index_rush_hour_visits: Unnecessary home care visits during rush hours (0=no, 2=often)

• index_social_relationship: Deviations in social relationships (0=no, 2=often)

• index_suicide_risk: Risk of suicide (0=low, 2=high)

• index_tobacco_and_alcohol: Alcohol consumption (0=no, 2=often)

• index_undernutrion: Undernutrition (0=no, 2=severe)

• index_unnecessary_help: The number of unnecessary emergency calls made during the last 30 days

• index_urinary: Urinary incontinence (0=no, 2=often)

• index_wound_care: The customer has been given wound care (0=no, 2=often)

• infection: Infection likelihood

• infection_lab: Infection lab result

• material_order: Material order - order of medicine or other goods

• material_usage: Material usage

• medication_deviation: Medication deviation.

• medication_deviation_contraindication: There are contraindications to the use of the drug.

• medication_deviation_dosage: Medication dosage deviation.

• medication_deviation_duration: Deviation in the duration of drug treatment.

• medication_deviation_elderly: Deviation in the use of the drug for the elderly.

• medication_deviation_interaction: The drug has interactions with another drug.

• medication_deviation_lactation: Deviation in the use of the drug during lactation.

• medication_deviation_liver: Medication deviation in a patient with liver failure.

• medication_deviation_pregnancy: Deviation in the use of the drug during pregnancy.

• medication_deviation_renal: Medication deviation in a patient with kidney failure.

• medication_deviation_side_effect: The use of the medicine has caused side effects.

• peritonitis: Likelihood the peritoneal dialysis patient has peritonitis

• respiration_rate_increasing_trend: Respiration rate has an increasng trend

• systolic_blood_pressure_increasing_trend: Systolic blood pressure has an increasng trend

• tachycardia_30min: Tachycardia (high average heart rate) for over 30 minutes

• total_body_water: Estimate for Total Body Water (TBW) in kg

• undernourishment: Likelihood the dialysis patient is undernourished

• under_dialysis: Likelihood the person is in under dialysis

• ward_visit: Ward visit / diagnosis

Depreciated measurements

These measurements are depreciated. Don’t use these measurement types without consulting Gillie’s support.

• absence: Got out of bed

• activity: Activity - now in own collection, move here later

• activity_reference: Activity reference value (under which the activity level is low)

• activity_stats: Navigil specific data structure. Refactor

• acute_renal_failure: acute_renal_failure

• beacon_area_stats: Depreciated. Navigil specific stats for stay of room

• beacon_avail_stats: Depreciated. Navigil specific beacon availability statistics

• cardiorespiratory_old: Deprciated

• catheterized: Is catheterized

• circadian_rhythm_weak: Weak circadian rhythm - vivago

• default: Use UNKNOWN instead of this

• diagnoses: Diagnoses. Array contains diagnose ICD10 codes and names

• disorganized_speech: Not in use anymore

• does_not_want_to_be_here: does_not_want_to_be_here

• door_closed: Use DOOR_OPENED and DOOR_LEFT_OPEN instead

• dryweight_increase: The percentage of dry weight increase in previous 3 months

• eating: Use MEAL_PREPERATION and EATING_ASSISTED instead

• egfr: eGFR. This should be moved to sub_measurement of LAB

• extra_help_present: Some devices can send this, but the measurement has no use

• fading_vitals: No longer used

• falls: Use FALL instead

• fall_asleep: Not in use

• fev1: forced expiratory volume, Emfit sends, but not need to store the measurement

• firealarm_ended: Fire alarm ended

• frequent_low_activity: No longer supported

• fridge_switch: Fridge opened

• fvc: Forced vital capacity

• goes_outside_by_himself: Use GOES_OUT and GOES_OUT_ASSISTED instead

• health_complaints: Use NONHEALTH_CONCERNS instead

• hfn: High frequency heart rate variation. Emfit sends, but not need to store.

• high_activity: High activity (vivago)

• high_respiration_rate_16hz: Hyperventilation (high average breathing rate) for over 15 minutes

• high_sleep_time: High sleep time

• home_care_message: Message wall message

• home_needs_maintenance: Is there anything at home that needs maintenance?

• housework: Needs help in home work

• housework_assisted: The client has been helped with housework

• hrv: Heart rate variability

• hypotension: Hypotension

• hypothermia: Hypothermia

• hypoxemia: Hypoxemia

• ICD10_*: Array contains diagnose ICD10 codes

• ICD10_F03*: Dementia excluding Alzheimer’s, use LAB and sub_measurent

• ICD10_G30*: Alzheimer’s dementia, use LAB and sub_measurent

• ICD10_I87.2*: Diagnosed with stasis ulcer, use LAB and sub_measurent

• ICD10_J12*: Pneumonia, use LAB and sub_measurent

• ICD10_J13*: Pneumonia, use LAB and sub_measurent

• ICD10_J14*: Pneumonia, use LAB and sub_measurent

• ICD10_J15*: Pneumonia, use LAB and sub_measurent

• ICD10_J16*: Pneumonia, use LAB and sub_measurent

• ICD10_J17*: Pneumonia, use LAB and sub_measurent

• ICD10_J18*: Pneumonia, use LAB and sub_measurent

• ICD10_R03.0*: This category is used to record an episode of elevated blood pressure, higher than 200, in a patient with no formal hypertension diagnosis

• ICD10_R06.82*: Tachypnea NOS, abnormal increase in respiratory rate, more than 20 per min

• ICD10_R09.02*: A condition in which there is not enough oxygen in the blood, less than 94%

• ICD10_R40.2*: Coma, use LAB and sub_measurent

• ICD10_R95.9*: A disorder characterized by a blood pressure that is below the normal expected level for an individual in a given environment, less than 100

• ICD10_S72*: Fracture of femur, use LAB and sub_measurent

• ICD10_Z01.0*: Eye exam once per year

• ICD10_Z01.1*: Hearing exam every 2 years

• ICD10_Z01.2*: Dental exam once per year

• ICD10_Z01.6*: Mammography for women every 2 years

• ICD10_Z12.11*: Colonoscopy every 5 years

• ICD10_Z23*: Influenza vaccine once per year

• ICD10_Z51.5*: Palliative care, use LAB and sub_measurent

• ICPC2_*: Array contains symptom ICPC2 codes

• ICPC2_A08: Swelling

• ICPC2_F05: Problems with vision

• ICPC2_P17: Tobacco abuse

• ICPC2_R05: Cough

• ICPC2_S76: Skin infections

• index_activities: Activities Index

• index_activity: Activity index

• index_adl_warning: Activities of Daily Living (ADL-AI) combined index

• index_behavior: Behavior Index

• index_bmi: BMI, automatically calculated

• index_body_temperature: Body temperature index

• index_catheterization: Catheterization index

• index_cognitive_loss: Cognitive Loss Index

• index_communication_scale: Communication scale

• index_day_rhythm: Day rhythm index

• index_fat_ratio: Fat ratio index

• index_height: Height index

• index_home_environment: Home Environment Optimization Index

• index_hrv: HRV index

• index_iadl_warning: Instrumental Activities of Daily Living Index, combines IADL and ADL and other

• index_ICPC2_A08: Summary of swelling

• index_ICPC2_F05: Summary of problems with vision

• index_ICPC2_R05: Summary of cough

• index_ICPC2_S76: Summary of skin infections

• index_informal_support: Informal Support Index

• index_making_self_understood: Index of difficulties expressing oneself

• index_mood: Mood Index

• index_pain_scale: Pain scale index

• index_physical_restraints: Physical Restraints Index

• index_prevention: Prevention Index

• index_qol_activity: index_qol_activity DEPRECIATED

• index_qol_autonomy: index_qol_autonomy DEPRECIATED

• index_qol_comfort: index_qol_comfort DEPRECIATED

• index_qol_emotional: index_qol_emotional DEPRECIATED

• index_qol_privacy: index_qol_privacy DEPRECIATED

• index_recommend_device_blood_pressure: index_recommend_device_blood_pressure

• index_recommend_device_glucose: index_recommend_device_glucose

• index_recommend_device_gps: index_recommend_device_gps

• index_recommend_device_scale: index_recommend_device_scale

• index_recommend_device_vitals: index_recommend_device_vitals

• index_sleep_rhythm: Sleep rhythm index

• index_stress: Stress index

• index_weight: Weight index

• insulin_increasing_trend: Insulin usage has an increasng trend

• left_room: Left room

• lfn: Low frequency heart rate variation

• lives_alone: Lives alone

• low_activity: Low activity - vivago

• LOW_physical_activity: Less than 2 hours of activity in the past 3 days

• low_sleep_time: Low sleep time

• making_self_understood: Hard to make oneself understood

• medicine_battery: Medicine dispenser battery low. TODO - convert to generic device battery messages

• medicine_tech_error: Medicine dispenser tech error. TODO - convert to generic device errors

• mental_confusion: Mental confusion

• money_concerns: money_concerns

• not_enough_strength: Not enough strength

• nurse_believes_able_to_do_more: Nurse believes the patient is able to do more

• nurse_present: Nurse present

• out_of_house: During past 3 days how many days went out of house

• participates_in_activities: participates_in_activities

• personal_hygiene: Use POOR_HYGIENE instead

• physical_distress: Physical distress

• possible_fall: Possible fall

• presence: Person in bed

• p_potassium: P-Potassium. This should be moved to sub_measurement of LAB

• p_urea: P-Urea. This should be moved to sub_measurement of LAB

• room0_movement: Depreciated - remove when not needed

• sent_to_bed: sent_to_bed

• socket2_switch: Depreciated, electricity used by some eating related applicance. Use just socket_switch

• socket3_switch: Depreciated, electricity used by some eating related applicance. Use just socket_switch

• socket_switch: Electricity used by some eating related applicance. Use just socket_switch

• statistics: Navigil statistics. Depreciated, don’t use for other purposes

• status_request: Navigil status request response => TODO alive tms

• stove_switch: Electricity used by stove

• stove_switch_current1: Electricity used by stove

• stress: Stress from moodmetric. Check scale.

• temperature: Room temperature

• threatening_shock: Potential threatening shock

• toilet_alarm: Toilet alarm

• toilet_alarm_ended: Toilet alarm ended

• tp: Emfit tp

Unknown measurements

These measurements are depreceated, in development or not in active use. Don’t use these measurement types without consulting Gillie’s support.